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Google’s New AI Shopping Tools: What They Mean for Brands in 2025

Google’s New AI Shopping Tools: What They Mean for Brands in 2025

Google’s New AI Shopping Tools: What They Mean for Brands in 2025

Just in time for the holiday rush, Google has quietly dropped something very big for the future of online shopping.

Beyond normal search and Shopping ads, Google is rolling out a new set of AI-powered shopping tools that can:

  • Turn product search into a natural, conversational experience in AI Mode

  • Let AI agents track prices and complete purchases for users

  • Use a feature called “Let Google Call” to ring up local stores, check stock and share a summary back to the shopper

Google’s New AI Shopping Tools: What They Mean for Brands in 2025

Most of these features are currently US-focused, and the local calling is limited to categories like toys, health and beauty and electronics. But Google has already said they’re working on broader merchant eligibility and international expansion. For brands, this is not just “one more feature”. It’s a clear signal that shopping is moving from “click and scroll” to AI-driven, answer-style journeys where the assistant does more of the work.

This blog breaks down what changed, what it means for ecommerce and local retailers, and how you should start preparing in 2025.

What Exactly Did Google Launch?

Let’s simplify the update into three core features.

1. Conversational Shopping in AI Mode

In AI Mode in Google Search, users can now describe what they want in natural language (“cozy minimal sneakers for daily office wear under $100”), and get back.

  • Curated product suggestions with images

  • Comparison tables for similar items

  • Prices, reviews and stock details pulled from Google’s Shopping Graph (which tracks over 50 billion product listings)

This is no longer just a list of links. It’s a structured answer that looks and feels like a mini buying guide inside search.

2. AI Agents for Price Tracking and Checkout

Google is rolling out an agentic checkout experience:

  • Users can track a specific product, with preferred size, colour and budget

  • When the price drops into that range, Google pings them

  • For eligible merchants, Google can then complete the purchase on the merchant’s site using Google Pay, after confirming details with the user

This is powered by Shopping Graph and Google’s payments stack, and is starting with merchants like Wayfair, Chewy, Quince and select Shopify sellers.

3. “Let Google Call” – AI Calling Local Stores

The most surprising feature from a local marketing angle is “Let Google Call”:

  • When users search for certain products “near me”, they may see a “Let Google Call” button

  • They answer a few questions (what product, budget, preferences)

  • Google’s AI (Duplex upgraded with Gemini) calls nearby stores, asks about stock, price and any promos

  • The AI then emails or texts the user a summary of what it found, plus local inventory info from Shopping Graph

Right now this is limited to specific categories and US markets, but Google expects to expand to more categories and markets over time.

Why This Update Matters So Much for Brands

1. Shopping Is Becoming Conversational

Users are moving from:

“best running shoes men size 9”

to:

“I need breathable running shoes for daily 5 km runs, under ₹5,000, that work on concrete”.

AI Mode is built exactly for that second kind of query.

If your product feeds, descriptions and reviews don’t answer real questions clearly, AI Mode will happily recommend someone else.

2. Google Is Becoming a Full Shopping Assistant

With price tracking and agentic checkout, Google is stepping deeper into the journey:

  • Discovery

  • Comparison

  • Decision

  • Price drop monitoring

  • Payment

As a brand, you’re no longer only fighting for a click. You’re fighting to be included in the AI’s recommendation set and then to be the merchant selected at checkout.

3. Local Stores Get an AI Upgrade

For local businesses, “Let Google Call” is basically an AI front desk:

  • It calls you to ask “Do you have this item? At what price? Any discounts?”

  • It shares that information back with the user as a neat summary

If your store data, staff responses and inventory are messy, that summary will not work in your favour.

What This Means for Ecommerce & Local Brands (Kodo POV)

Let’s connect the dots to what Kodo clients care about: performance, conversions and visibility.

1. Product Data and Feeds Matter More Than Ever

AI Mode’s suggestions and comparison tables are powered by Shopping Graph, which pulls from your product feeds, merchant centre data and site.

Poor data in = poor visibility out.

You’ll want to:

  • Keep titles, descriptions and attributes complete (size, colour, material, use case)

  • Use structured data and merchant centre best practices

  • Ensure prices, availability and variants are synced in near real-time

2. Answer-Style Content Wins Inside AI Mode

If AI Mode is effectively answering “What should I buy?” and “Which option is better for me?”, then brands need content that:

  • Explains differences clearly

  • Addresses typical objections (comfort, durability, fit, size, shipping)

  • Uses natural language people actually type or speak

Product pages, category pages and FAQ sections all become input for the AI’s shopping answers.

3. Local SEO + Operational Hygiene = “Let Google Call” Advantage

For Indian and global local businesses, future rollout of this feature will favour:

  • Stores with accurate addresses, hours and phone numbers

  • Staff trained to answer quick stock and price questions clearly

  • Inventory systems that mostly match reality

Because the AI call gives a summary (item available, price, offers), consistent and clear answers become a competitive factor.

How Brands Should Start Preparing Now

Even if you’re outside the US right now, this is a preview of where shopping is heading. Here’s how to get ahead.

1. Clean Up Your Product Catalogue

  • Standardise naming conventions, sizes, variants

  • Fill in missing attributes (gender, style, use case, fabric, specs)

  • Fix old SKUs and duplicate listings

The more structured your catalogue, the easier it is for Shopping Graph and AI Mode to understand where you fit.

2. Invest in High-Quality Product Info, Not Just Creatives

Think beyond pretty images:

  • Write descriptions that answer “Who is this best for?” and “When should I use it?”

  • Add comparison points: what makes this different from your other models?

  • Keep FAQs at product and category level updated

You’re essentially feeding the AI reasons to pick you when it builds that comparison table or answer.

3. Optimise for “Shopping Conversations”, Not Just Keywords

Brainstorm the kind of conversational queries your audience might ask:

  • “Gifts for new parents under ₹2,000 that feel premium”

  • “Office-appropriate sneakers for women that are comfortable all day”

  • “Skincare for oily skin that doesn’t feel sticky in humid weather”

Use these as inspiration when:

  • Writing blog and guide content

  • Creating category descriptions

  • Planning YouTube videos or Reels that rank in search

The closer your language is to real questions, the more useful your content becomes as training data.

4. Prepare Your Local Presence for “Let Google Call”

If you have physical stores or franchises:

  • Make sure your Google Business Profiles are accurate and complete

  • Train staff to answer inventory, price and promo questions clearly in one go

  • Keep a simple, updated inventory view accessible to whoever picks up the phone

When the AI calls, your store’s answers will quietly influence how often you appear in those “here’s what we found locally” summaries.

5. Think About Pricing Strategy in a World of Smart Price Tracking

Agentic checkout + price tracking means users will start thinking in terms of:

“This is my budget. Tell me when it fits.”

Brands will have to:

  • Plan promotional calendars more strategically

  • Decide which products are “okay to discount” vs “hold margin”

  • Pay attention to how price history and discount patterns appear in Google’s interfaces

How Kodo Kompany Can Plug Into This Shift

For Kodo clients (D2C, ecommerce, local + online hybrids), this update sits at the intersection of:

  • Performance marketing

  • Product and data hygiene

  • Content and AEO-style optimisation

  • Local SEO and operations

Typical support areas might include:

  • Product feed audits and optimisation for Merchant Center

  • Mapping conversational queries to content and category pages

  • Local SEO clean-up for stores expected to be called by AI

  • Campaign strategy that leans into AI Mode (e.g., feeding Google better assets, not just more budget)

Instead of just “running more ads”, we help brands be discoverable and chosen in these new AI surfaces.

FAQs: Google’s New AI Shopping Tools for Marketers

1. Are these new AI shopping features available outside the US?

Right now, most of the new tools—conversational shopping in AI Mode, built-in shopping in Gemini and agentic checkout—are focused on US users and eligible US merchants. The “Let Google Call” feature is also launching in the US in limited categories (toys, health and beauty, electronics) first. Google has said it plans to expand merchant eligibility and international reach over time, so this is important early warning for other markets.

2. As a brand, what can I control in AI Mode’s shopping results?

You can’t fully control AI Mode, but you can influence it by:

  • Keeping product feeds, prices and availability accurate

  • Providing rich product information and structured data

  • Earning good reviews and ratings

  • Creating helpful content that genuinely answers shopping questions in your niche

AI Mode relies heavily on Shopping Graph and the quality of the data it sees from you and your competitors.

3. Will AI agents replace traditional Shopping ads?

Not in the short term. These new tools sit alongside existing Shopping ad formats. You will still run Performance Max, Shopping campaigns and Demand Gen. What changes is where and how users make decisions. Over time, we can expect Google to blend paid placements into these AI experiences, so ad asset quality and feed optimisation become even more important.

4. How should local stores respond to “Let Google Call”?

Treat it as a new kind of lead:

  • Make sure whoever answers your phone can quickly check stock, prices and offers

  • Keep inventory systems reasonably up to date

  • Ensure your business hours and phone numbers are correct on Google Business Profile

If the AI repeatedly gets bad or confusing answers from your store, you may gradually lose visibility to competitors who respond more clearly.

5. What’s the single most important thing to do right now?

If you had to prioritise, start with product and data hygiene:

  • Audit your product feeds and website product data

  • Fix missing attributes, broken variants, wrong prices or outdated stock

  • Align your content and copy with real-world shopper questions

Once your foundation is clean, every AI-driven surface—AI Mode, Gemini shopping, agentic checkout, “Let Google Call”—has a better chance of treating your brand as a reliable option.

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Local SEO in 2025: 12-Step Playbook for Small Businesses

Local SEO in 2025: 12-Step Playbook for Small Businesses

Local SEO in 2025: 12-Step Playbook for Small Businesses

If you run a local business in 2025, your Google presence is your new shopfront.

Before anyone walks into your store, clinic, office or café, they are most likely doing one of these:

  • Typing “near me” on their phone

  • Checking Google Maps reviews

  • Comparing 2–3 options on the first screen of results

 

If you do not show up there, you are invisible. The good news: you do not need a massive budget to compete. You need a clear local SEO playbook and the discipline to execute it consistently.

Local SEO in 2025: 12-Step Playbook for Small Businesses

This guide from Kodo Kompany breaks local SEO into 12 practical steps you can actually follow. No jargon, no magic secrets. Just what small businesses need to do to show up, stand out and get chosen in local search in 2025.

Step 1: Fix Your NAP Everywhere (Name, Address, Phone)

Local SEO starts with one simple idea: Google needs to trust your basic details.

Make sure your:

  • Business name

  • Full address

  • Phone number

  • Website URL

are written the same way across:

  • Your website

  • Google Business Profile

  • Facebook page

  • Instagram bio

  • Local directories (Justdial, Sulekha, IndiaMART, etc.)

Even small differences (Suite vs Ste, Rd vs Road, different phone numbers) can create confusion. Start by deciding one standard format and then updating it everywhere.

Step 2: Fully Set Up and Optimise Your Google Business Profile

For local SEO in 2025, your Google Business Profile (GBP) is almost more important than your home page.

Most people will see:

  • Your star rating

  • Your photos

  • Your opening hours

  • Your location on Maps

  • A few top reviews

before they ever click on your site.

Make sure you:

  • Choose the correct primary category (for example “Dental clinic” instead of just “Clinic”)

  • Add secondary categories where relevant

  • Write a clear description that explains what you do and who you serve

  • Add your services or products with short descriptions

  • Set correct hours (including holiday hours)

  • Add high-quality photos of your exterior, interior, team, products or services

Keep this profile updated like you would update your shop board in the real world.

Step 3: Use Local Keywords the Way People Actually Search

Your customers are not searching for “cutting edge omni-channel service providers”. They are searching for things like:

  • “best dentist in noida extension”

  • “2bhk flat broker in greater noida west”

  • “social media agency in pune for startups”

Make a list of:

  • Your main service

  • Your city

  • Your neighbourhood or area

  • “Near me” phrases you would personally type

Examples:

  • “pet clinic in andheri west”

  • “home tutor in dwarka sector 7”

  • “marketing agency for real estate in noida”

Use these local phrases naturally in:

  • Page titles and meta descriptions

  • H1 and H2 headings

  • Service page content

  • Image alt text

  • FAQ sections

Write for humans first, then check if the important local phrases are present.

Step 4: Create a Strong “Local Hero” Homepage

Your homepage should answer one key question:

“Is this the right place for someone like me, in my area, with my problem?”

Make sure it clearly mentions:

  • What you do (in plain language)

  • Where you operate (city, locality, service area)

  • Who you serve (families, startups, working professionals, etc.)

Add:

  • A short introduction about your business

  • A “Why choose us in [location]” section

  • 3–5 key services with links to detailed pages

  • A clear “Call now”, “WhatsApp now” or “Book a visit” button

Think of your homepage as your main local landing page.

Step 5: Build Dedicated Local Service Pages

If you offer multiple services or cover multiple areas, one generic page is not enough.

Create specific pages such as:

  • “Teeth Whitening in Indirapuram”

  • “2BHK Flat Purchase Consultancy in Noida Extension”

  • “Social Media Management Agency in Pune for Coaches”

On each page:

  • Explain the service in detail

  • Emphasise why it works well for people in that location

  • Mention local landmarks or common pain points (parking, commute, nearby hubs)

  • Add testimonials or case studies from customers in that area

These pages give Google and users clear, focused answers, which helps you show up for more targeted local searches.

Step 6: Make Your Contact and Location Info Obvious

Do not make visitors hunt for your address or phone.

On every page, make sure:

  • Your phone number is clickable on mobile

  • Your address is easy to see

  • Your Google Maps link or embedded map is present on the Contact page

  • You have clear directions if your location is tricky

For example:

  • “5 minutes walk from [metro station]”

  • “Opposite [known building or landmark]”

This helps both users and Google better understand and trust your location.

Step 7: Actively Collect and Respond to Reviews

In local SEO, reviews are your currency.

A business with 4.5 stars and 120 reviews will almost always win attention over a 5-star business with 5 reviews.

Build a simple system:

  • Ask happy customers to leave a review on Google

  • Provide a direct review link via WhatsApp or SMS

  • Train your staff to request reviews politely at the right time

  • Respond to every review, good or bad, with calm, helpful language

Quick guidelines:

  • Never offer money for reviews

  • Avoid writing fake reviews yourself

  • Use reviews to highlight specific services you want to rank for

Example of a reply to a positive review:

“Thank you for trusting us with your [service]. We are glad you liked the experience. Hope to see you again at our [location] clinic.”

Step 8: Publish Helpful Local Content, Not Just Promotions

Local SEO is not only about your profile and address. Content still matters.

Ideas for local content:

  • “How to choose a [service] provider in [city]”

  • “5 mistakes first-time home buyers make in [area]”

  • “Best schools, gyms, or amenities near [your locality]”

  • “Checklist before booking a [service] in [city]”

This type of content:

  • Helps you answer real questions your audience is searching

  • Builds trust in your expertise

  • Gives more opportunities to rank for long-tail local queries

Keep the language simple and educational. Imagine you are explaining things to a neighbour over a cup of tea.

Step 9: Get Listed in the Right Local Directories and Partner Sites

Local citations (mentions of your business name, address and phone number) are still useful in 2025 when they are relevant and consistent.

Focus on:

  • Major Indian platforms: Justdial, Sulekha, IndiaMART (if relevant)

  • Industry-specific directories: healthcare, education, real estate, legal, etc.

  • Local association sites: chamber of commerce, trade groups

Make sure your NAP details match exactly. These listings help reinforce your local presence for both search engines and users.

Step 10: Use Social Media to Strengthen Local Signals

Social media is not a direct ranking factor, but it strongly influences local visibility and trust.

Things that help:

  • Mention your city and locality in bios and captions where relevant

  • Share photos and stories of real customers (with consent)

  • Use location tags for posts and stories

  • Talk about local events, festivals or collaborations

This sends clear signals that you are active and embedded in the local community. When someone sees you on Instagram and then searches on Google, everything connects.

Step 11: Track What Is Working (and What Is Not)

You cannot improve what you do not measure.

At a basic level, track:

  • How many calls and website visits come from your Google Business Profile

  • Which queries people use to find you (look into GBP and Google Search Console data)

  • Which pages get the most local traffic

  • How many leads or walk-ins mention “I found you on Google / Maps”

Use this information to decide:

  • Which service pages to expand

  • Which local keywords to double down on

  • Whether you need more reviews, better photos, or clearer content

Even small improvements each month compound over time.

Step 12: Answer Common Local Questions Clearly on Your Site

People search with questions:

  • “Is [business] open on Sunday?”

  • “Do they have parking?”

  • “Do they offer home visits in [area]?”

  • “What is the consultation fee?”

Create an FAQ section on your main local pages and answer these clearly.

Examples:

  • “Do you provide services in [nearby locality]?”

  • “What are your timings on weekends?”

  • “Do I need to book an appointment or can I walk in?”

Short, direct answers help both your visitors and search engines understand your business better. They also increase your chance of showing up when someone types these questions into Google or asks them via voice search.

FAQs: Local SEO for Small Businesses in 2025

1. How long does local SEO take for a small business?
Local SEO is not instant, but many small businesses see visible improvements in 3–6 months if they are consistent with Google Business Profile optimisation, reviews, basic on-page SEO and local content. It is an ongoing process, not a one-time project.

2. Is Google Business Profile enough for local SEO in 2025?
Google Business Profile is essential, but it is not enough on its own. You still need a clear website, consistent NAP, local-focused content, reviews and basic technical hygiene. Think of GBP as your front door and your website as the full house tour.

3. Do I need a blog to rank locally?
You can rank for very basic local searches without a blog, but having useful local content helps you reach more specific questions and higher-intent users. Even one or two good local guides or FAQs per quarter can make a difference over time.

4. How important are reviews for local SEO?
Reviews are extremely important in local SEO, both for ranking and for conversions. A strong review profile with honest, recent feedback often decides whether someone chooses you or a competitor, even if both show up on the same screen.

5. Can a small business do local SEO without an agency?
Yes, you can start on your own by following a simple checklist: optimise your Google Business Profile, fix NAP consistency, collect reviews, build a solid homepage and a few service pages, and write basic local FAQs. An agency like Kodo Kompany becomes useful when you want to scale this, track performance, and integrate local SEO with ads, content and overall marketing.

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Short-Form vs Long-Form Videos: The 2025 Brand Playbook

Short-Form vs Long-Form Videos: The 2025 Brand Playbook

Short-Form vs Long-Form Videos: The 2025 Brand Playbook

In the rapidly evolving landscape of digital marketing, video content has become a cornerstone for brands looking to engage their audiences effectively. As we move into 2025, the debate between short-form and long-form video content intensifies. Each format offers unique advantages and challenges, making it essential for brands to understand how to leverage both to maximize their impact. This article serves as a comprehensive guide to navigating the intricacies of video marketing in 2025, focusing on the strategic use of short-form and long-form videos.

Short-form vs long-form video content: which is best for your ...

 

Understanding Video Content Formats

What is Short-Form Video?

Short-form videos are typically defined as content that lasts under three minutes. Platforms like TikTok, Instagram Reels, and YouTube Shorts dominate this space, catering to audiences with limited attention spans. These videos are designed to deliver quick, impactful messages that resonate with viewers almost instantly.

Key Characteristics of Short-Form Videos:

  • Brevity: The concise nature of short-form videos allows for quick consumption, making them ideal for mobile users.
  • High Shareability: Their engaging format encourages viewers to share content across social media platforms, enhancing virality.
  • Cost-Effective Production: Creating short videos often requires fewer resources, making it accessible for brands of all sizes.

What is Long-Form Video?

In contrast, long-form videos exceed three minutes and can extend to an hour or more. Platforms like YouTube and Vimeo thrive on this format, allowing brands to delve deeper into topics and provide comprehensive insights.

Key Characteristics of Long-Form Videos:

  • In-Depth Storytelling: Long-form content enables brands to explore complex subjects, fostering a deeper connection with the audience.
  • Higher Engagement: Viewers are more likely to engage with content that provides substantial value, leading to increased watch time.
  • SEO Benefits: Longer videos often rank better in search engines, driving organic traffic to your content.

The Pros and Cons of Each Format

Short-Form Video: Advantages and Disadvantages

Advantages:

  • Immediate Engagement: Short-form videos can capture attention quickly, making them effective for brand awareness.
  • Algorithm Favorability: Social media algorithms often prioritize short videos, increasing their visibility.
  • Viral Potential: The shareable nature of short-form content can lead to rapid audience growth.

Disadvantages:

  • Limited Depth: The brevity of short-form videos restricts the ability to convey detailed information.
  • High Competition: With so many creators producing short content, standing out can be challenging.

Long-Form Video: Advantages and Disadvantages

Advantages:

  • Comprehensive Insights: Long-form videos allow for detailed explanations and storytelling, which can build trust and authority.
  • Loyal Audience Development: Engaging long-form content can foster a loyal viewer base that returns for more.
  • Monetization Opportunities: Longer videos often generate more ad revenue due to increased watch time.

Disadvantages:

  • Higher Production Costs: Creating quality long-form content typically requires more resources and time.
  • Viewer Commitment: Not all viewers are willing to invest time in longer videos, which can lead to drop-offs.

Choosing the Right Format for Your Brand

Assessing Your Goals

When deciding between short-form and long-form video content, it’s crucial to align your choice with your brand’s objectives. Are you looking to build brand awareness quickly, or do you want to establish authority and trust over time?

Audience Considerations

Understanding your target audience’s preferences is vital. Younger audiences may gravitate towards quick, entertaining content, while older demographics might appreciate in-depth discussions and tutorials.

Platform Selection

Different platforms cater to different video formats. For instance, TikTok and Instagram are ideal for short-form content, while YouTube is better suited for long-form videos. Tailoring your content to the platform can significantly enhance its effectiveness.

Crafting a Balanced Video Content Strategy

Integrating Both Formats

Rather than choosing one format over the other, successful brands are increasingly adopting a hybrid approach. This strategy allows them to leverage the strengths of both short-form and long-form videos.

Example Strategies:

  • Teasers and Full-Length Content: Use short videos as teasers to drive traffic to longer content on platforms like YouTube.
  • Repurposing Content: Transform long-form videos into bite-sized clips for social media, maximizing reach and engagement.

Measuring Success

To evaluate the effectiveness of your video content strategy, it’s essential to track key performance indicators (KPIs). Metrics such as engagement rates, watch time, and conversion rates can provide valuable insights into what works best for your audience.

Best Practices for Short-Form Video Creation

Hook Your Audience

The first few seconds of your video are critical. Use captivating visuals or intriguing questions to grab attention immediately.

Keep It Focused

Short-form videos should have a clear message. Avoid unnecessary fluff and ensure that every second counts.

Include a Call to Action

Encourage viewers to take action after watching your video, whether it’s visiting your website, subscribing to your channel, or sharing the content.

Best Practices for Long-Form Video Creation

Structure Your Content

A well-organized video with a clear beginning, middle, and end will keep viewers engaged. Consider using chapters or timestamps for longer videos to help viewers navigate.

Optimize for SEO

Incorporate relevant keywords in your video title, description, and tags to improve search visibility. This practice is particularly important for platforms like YouTube.

Engage with Your Audience

Encourage comments and questions during your video to foster interaction. Responding to viewer inquiries can enhance community engagement and loyalty.

The Future of Video Marketing

Trends to Watch

As we look ahead to 2025, several trends are shaping the future of video marketing:

  • Increased Use of AI: Artificial intelligence will play a significant role in video production and personalization.
  • Interactive Content: Viewers will increasingly expect interactive elements in videos, such as polls and quizzes.
  • Live Streaming Growth: Real-time engagement through live streaming will continue to rise, offering brands a unique way to connect with their audience.

Conclusion

In conclusion, both short-form and long-form videos have their place in a comprehensive video content strategy. By understanding the strengths and weaknesses of each format, brands can create engaging content that resonates with their audience. As we move into 2025, embracing a hybrid approach that leverages the best of both worlds will be key to staying relevant in the competitive digital landscape.

By implementing these strategies and best practices, you can enhance your video marketing efforts and drive meaningful engagement with your audience. Whether you choose to create quick, punchy clips or in-depth, informative videos, the goal remains the same: to connect with your audience and build lasting relationships.

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AI-Powered Ad Copywriting: How to Humanize Machine-Generated Content

AI-Powered Ad Copywriting: How to Humanize Machine-Generated Content

AI-Powered Ad Copywriting: How to Humanize Machine-Generated Content

In the rapidly evolving landscape of digital marketing, the integration of artificial intelligence (AI) in ad copywriting has become a game-changer. With tools like ChatGPT and other generative AI marketing solutions, businesses can produce content at an unprecedented speed. However, while these technologies offer efficiency, they often lack the human touch that resonates with audiences. This article explores how to humanize machine-generated content, ensuring that it not only captures attention but also fosters genuine connections with potential customers.

AI-Powered Ad Copywriting: How to Humanize Machine-Generated Content

Understanding AI in Ad Copywriting

AI in ad copywriting refers to the use of artificial intelligence tools to generate marketing content. These tools can create everything from catchy headlines to full-length advertisements, streamlining the content creation process. However, the challenge lies in ensuring that this content feels authentic and relatable.

The Rise of Generative AI Marketing

Generative AI marketing has gained traction due to its ability to analyze vast amounts of data and produce tailored content. This technology can identify trends, preferences, and even emotional triggers that resonate with specific audiences. As a result, businesses can create targeted campaigns that speak directly to their customers’ needs.

The Limitations of AI-Generated Content

Despite its advantages, AI-generated content often falls short in emotional depth and creativity. While it can produce grammatically correct and contextually relevant text, it may lack the nuance and storytelling ability that human writers bring to the table. This is where the need for humanization comes into play.

The Importance of Humanizing AI Content

Humanizing AI-generated content is crucial for several reasons. First, it enhances engagement by making the content more relatable. Second, it builds trust with the audience, as consumers are more likely to connect with content that feels genuine. Lastly, humanized content can improve brand loyalty, as customers appreciate brands that understand their emotions and experiences.

Building Trust Through Authenticity

Authenticity is key in today’s marketing landscape. Consumers are increasingly skeptical of overly polished or robotic content. By infusing AI-generated copy with a human touch, brands can foster trust and credibility. This can be achieved through storytelling, personal anecdotes, and relatable language.

Enhancing Engagement with Emotional Resonance

Content that resonates emotionally is more likely to capture attention and drive action. By incorporating emotional triggers into AI-generated content, marketers can create a deeper connection with their audience. This can involve using humor, empathy, or even vulnerability to engage readers on a personal level.

Strategies for Humanizing AI-Generated Content

To effectively humanize AI-generated content, marketers can employ several strategies. These techniques focus on refining the output to ensure it aligns with the brand’s voice and resonates with the target audience.

1. Start with Clear Objectives

Before generating content, it’s essential to define the goals of the campaign. What message do you want to convey? What emotions do you want to evoke? By establishing clear objectives, you can guide the AI in producing content that aligns with your vision.

2. Infuse Personality into the Copy

AI-generated content can often feel sterile. To combat this, add personality to the text. This can be achieved by using a conversational tone, incorporating humor, or sharing personal stories. The goal is to make the content feel like it comes from a real person rather than a machine.

3. Utilize Contextual Understanding

Context is critical in marketing. Ensure that the AI understands the audience’s cultural references, industry-specific terminology, and current trends. This will help create content that feels relevant and relatable, enhancing the overall effectiveness of the message.

4. Refine the Narrative Flow

AI-generated content may lack smooth transitions and logical progression. Take the time to refine the narrative flow, ensuring that ideas connect seamlessly. This can involve adding linking phrases or restructuring sentences to create a more cohesive reading experience.

5. Incorporate Emotional Triggers

Emotional triggers can significantly enhance the impact of your content. Identify key emotions you want to evoke in your audience and weave them into the narrative. This could involve using powerful imagery, compelling anecdotes, or relatable scenarios that resonate with readers.

6. Edit for Clarity and Readability

While AI can generate content quickly, it’s essential to edit for clarity and readability. Use tools like Grammarly or Hemingway to refine the text, ensuring it is concise and easy to understand. This step is crucial in maintaining the audience’s attention and conveying the message effectively.

7. Test and Iterate

Once the content is generated and refined, it’s important to test its effectiveness. Gather feedback from your audience and analyze engagement metrics. Use this data to iterate on your content strategy, making adjustments as needed to improve future campaigns.

The Role of AI Content Tools in Humanization

AI content tools play a vital role in the humanization process. They can assist in generating ideas, refining language, and ensuring consistency across various platforms. However, it’s essential to remember that these tools should complement human creativity rather than replace it.

Leveraging AI for Efficiency

AI tools can significantly speed up the content creation process, allowing marketers to focus on strategy and creativity. By automating repetitive tasks, businesses can allocate more time to refining their messaging and connecting with their audience.

Balancing Automation with Human Insight

While AI can provide valuable insights and generate content, human oversight is crucial. Marketers should review and refine AI-generated copy to ensure it aligns with the brand’s voice and resonates with the target audience. This balance between automation and human insight is key to successful ad copywriting.

Conclusion: Embracing the Future of AI-Powered Ad Copywriting

As AI continues to evolve, its role in ad copywriting will only grow. By embracing these technologies while prioritizing humanization, businesses can create compelling content that resonates with their audience. The future of marketing lies in the synergy between AI efficiency and human creativity, allowing brands to connect with consumers on a deeper level.

In summary, humanizing AI-generated content is not just a trend; it’s a necessity in today’s digital landscape. By implementing the strategies outlined in this article, marketers can ensure their content is not only effective but also authentic and engaging. As we move forward, let’s harness the power of AI while keeping the human touch at the forefront of our marketing efforts.

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Pinterest Experiences with AI-Powered Personalization: The Future of Visual Discovery in 2025

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Pinterest Experiences with AI-Powered Personalization: The Future of Visual Discovery in 2025

Pinterest Experiences with AI-Powered Personalization

Introduction: When Personalization Meets Visual Inspiration

Pinterest was once known as the internet’s digital scrapbook — a place for mood boards, recipes, and design ideas. But in 2025, it has transformed into something far more powerful:

A visual search engine powered by AI-driven personalization.

Pinterest’s latest upgrades have turned browsing into a fully personalized journey — one that learns from your tastes, predicts your next move, and tailors every scroll to your unique creative identity.

At Kodo Kompany, we’ve been closely watching how AI is transforming discovery-driven platforms like Pinterest — and the results are astonishing.
The new wave of AI on Pinterest is not just about smarter recommendations; it’s about emotional precision — understanding why a user saves, pins, or dreams.

In this blog, we’ll explore how AI personalization is redefining the Pinterest experience, how brands can tap into it, and why it’s the next big thing in visual marketing for 2025.

1. The Shift: From Static Pins to Dynamic Discovery

A few years ago, Pinterest’s algorithm relied heavily on user tags, interests, and keyword relevance.
Fast forward to 2025, and that model feels ancient.

Now, Pinterest uses deep learning and visual AI to understand the intent behind every pin.
AI doesn’t just see what you save — it decodes why you saved it.

Example:
If you save a “minimalist living room,” AI identifies elements like color palette, textures, and layout — then suggests related pins that align with your design style (e.g., Scandinavian decor or neutral-toned spaces).

💡 Kodo Insight:
AI is no longer just feeding users similar images — it’s learning the psychology of aesthetic preference.

2. The Power of Personalization: One Feed, Millions of Journeys

Pinterest’s new personalization engine works much like a mirror.
Every user sees an entirely unique version of the app.

How it Works:

  • Behavioral Mapping: AI tracks what you click, pin, or ignore.

  • Contextual AI: Analyzes the relationship between your saved ideas (e.g., you saved “home office ideas” and “mood-boosting plants”).

  • Predictive Suggestions: AI then builds a dynamic feed — anticipating what you might search next.

For brands, this means every ad, post, or product recommendation lands in hyper-relevant contexts — increasing both engagement and conversion.

💬 Imagine a user searching “solo travel outfit ideas.” AI now shows not just clothing, but travel itineraries, luggage, and skincare essentials — all tailored to lifestyle intent.

💡 Kodo Insight:
Personalization doesn’t just make users scroll longer — it reduces friction in the buyer journey.

3. AI Vision: Pinterest’s Secret Weapon

Pinterest’s biggest leap came with the introduction of Pinterest Lens 2.0, powered by visual AI.
The technology can identify over 5 billion objects, analyze aesthetic style, and instantly connect visuals to commerce.

Here’s what that looks like in action:
📸 Snap a photo of a cafe chair → Pinterest finds visually similar furniture from thousands of online retailers.
🎨 Save a makeup look → It suggests exact product matches available on shopping sites.

This feature has evolved with contextual intelligence — meaning AI understands the environment, mood, and emotion of an image.

💡 Kodo Insight:
For brands, this creates a “See It → Want It → Buy It” loop — powered entirely by AI.

4. The New Shopping Experience: Visual Commerce Gets Smarter

AI has turned Pinterest into the ultimate visual storefront.
Today, over 70% of Pinterest users discover new brands or products on the platform.

Here’s how AI transforms the shopping experience:

  • AI Product Tagging: Automatically identifies items in user-generated content.

  • Smart Collections: Groups pins into personalized shopping boards based on user behavior.

  • Predictive Checkout: Suggests complementary products before a user even searches for them.

Example:
If you pin “boho bedroom ideas,” Pinterest might recommend:
🪶 Wall hangings → From small artisans
🛏️ Bedding → From eco-friendly brands
🌿 Decor plants → From local stores near you

💡 Kodo Insight:
Pinterest’s AI acts as a creative shopping assistant — blending inspiration and transaction seamlessly.

5. AI + Emotions: Pinterest’s Move Toward Empathy in Algorithms

Unlike typical social platforms, Pinterest doesn’t chase virality — it focuses on positive personalization.

The AI behind Pinterest’s recommendations is trained on emotional recognition models — identifying patterns of joy, calmness, or curiosity in visual choices.

If you’ve been saving “self-care routines,” “home organization,” and “serene wallpapers,” Pinterest’s AI interprets your mood as seeking calm — and adjusts your feed to reflect that.

💡 Kodo Insight:
This shift from data-driven to emotion-driven personalization is what makes Pinterest stand out — it’s marketing that feels human, not robotic.

6. Brand Power: How Marketers Can Leverage AI-Personalized Pinterest

For brands, Pinterest’s AI personalization opens up powerful opportunities:

A. Smart Ad Targeting

Advertisers can now target users not just by demographics but by visual intent.
Example: Users who save “DIY wall art” could be shown ads for home decor kits or eco-friendly paints.

B. Predictive Trends for Seasonal Campaigns

Pinterest Trends (powered by AI) analyzes billions of pins to predict upcoming seasonal trends — like “pastel Halloween” or “wellness travel.”
Marketers can plan content months in advance with near-perfect accuracy.

C. Creative Optimization

AI-driven A/B testing lets brands experiment with imagery and messaging — AI automatically prioritizes visuals that perform best with target audiences.

D. Product Discovery through Lens Data

Integrating with Pinterest Lens allows brands to connect their product catalogs for visual match recommendations — instantly linking discovery to sales.

💡 Kodo Insight:
Kodo Kompany helps brands integrate these AI tools — optimizing campaigns for relevance, ROI, and real connection.

7. Case Studies: Brands That Nailed AI Personalization on Pinterest

1. IKEA – The Home Mood Predictor

IKEA used AI to create dynamic Pinterest boards that adjusted to user moods and seasons.
Users who engaged with “cozy lighting” saw mood-based product suggestions and home inspirations.
Result: 2.5× engagement rate increase and a 30% boost in click-throughs.

2. Sephora – Virtual Try-On through Pinterest Lens

Sephora integrated AI-powered AR with Pinterest Lens to let users “try” lipstick shades virtually.
Result: 8× higher product saves and increased conversions during holiday seasons.

3. Airbnb – Experience Boards

Airbnb used AI-generated data from user pins to create custom travel boards like “Haunted Stays” and “Coastal Escapes.”
AI grouped listings based on color tones, mood, and architecture.
Result: 40% rise in engagement from creative travelers.

💡 Kodo Insight:
These examples show that AI-driven personalization doesn’t just drive clicks — it deepens emotional resonance between brands and users.

8. What This Means for the Future of Marketing

The line between searching and discovering is fading fast.
With AI, Pinterest is moving toward what we call Predictive Discovery Marketing — where platforms know what inspires users before they even realize it.

For marketers and agencies like Kodo Kompany, this means a major opportunity:
✅ More relevant ad placement
✅ Better storytelling alignment
✅ Higher creative efficiency
✅ Greater ROI on every campaign

Brands that learn to design AI-friendly creative ecosystems will dominate visual discovery in the next wave of social commerce.

9. How Kodo Kompany Helps Brands Adapt to AI-Driven Pinterest

At Kodo Kompany, we help businesses leverage emerging platforms like Pinterest not just for visibility — but for conversion through creativity.

Our team uses:

  • AI trend forecasting to plan content calendars

  • Data-backed keyword mapping for visual SEO

  • Custom creative strategies aligned with Pinterest personalization algorithms

  • Brand storytelling frameworks that balance human emotion with machine precision

In other words, we don’t just post — we personalize, analyze, and amplify.

💡 In 2025, your creative success depends not on how much you post, but on how well your content understands your audience.

10. The Takeaway: Personalization Is the New Performance

AI-powered personalization on Pinterest isn’t just an update — it’s a revolution.

It’s the moment when technology stops guessing and starts understanding.
When ads become recommendations.
When content feels designed just for you.

For brands and creators, this is both an opportunity and a challenge — to build marketing strategies that don’t just speak louder, but listen better.

At Kodo Kompany, we believe the future of marketing lies in one phrase:

“Create once. Personalize forever.”

And with AI on your side, every pin can be the start of a powerful brand journey.

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AI Meets Halloween: How Brands Use Artificial Intelligence for Spooky Campaigns in 2025

AI Meets Halloween: How Brands Use Artificial Intelligence for Spooky Campaigns in 2025

AI Meets Halloween: How Brands Use Artificial Intelligence for Spooky Campaigns in 2025


Introduction: When AI Gets Spooky (and Smart)

Every October, brands bring out their creative cauldrons — brewing up spooky visuals, ghostly discounts, and fang-tastic campaigns that capture our imagination.
But in 2025, Halloween marketing has gone beyond pumpkin emojis and haunted hashtags.

Enter Artificial Intelligence (AI) — the new creative partner that’s reshaping how brands plan, execute, and personalize Halloween campaigns.

From predictive targeting to AI-generated visuals, businesses are using machine learning and generative models to turn ordinary marketing into spellbinding brand experiences.

At Kodo Kompany, we’ve been watching this trend closely — and the data is thrilling:

👻 Brands using AI-driven creative tools in 2025 saw 38% higher engagement rates and 25% lower campaign costs compared to traditional methods.

Let’s pull back the curtain on how AI and Halloween are colliding to redefine festive marketing — and what your brand can learn from it.


1. The Rise of AI-Driven Creativity

Halloween campaigns thrive on creativity — costumes, storytelling, and imagination.
But creativity today isn’t just human — it’s hybrid.

Generative AI tools like ChatGPT, Midjourney, DALL·E, and Runway ML have enabled brands to produce:

  • Spooky visuals in seconds

  • Hyper-personalized ad copy

  • Interactive campaign storylines

Example: Netflix’s AI Horror Trailer Generator

For Halloween 2025, Netflix launched an AI-powered “Choose Your Fear” campaign.
Users could type their biggest fear — “dark rooms,” “clowns,” “loneliness” — and the AI generated a personalized horror trailer from Netflix content snippets.

The result?
Over 2.3 million personalized videos created in just three days.

💡 Kodo Insight:
AI isn’t replacing creative teams — it’s amplifying them.
Marketers who combine human storytelling with AI execution are seeing unmatched creative agility.


2. Predictive Targeting: AI Knows Who Gets Scared

One of the most powerful uses of AI in Halloween marketing is predictive audience segmentation.

In the past, marketers relied on generic demographic targeting — age, interests, and purchase history.
Now, machine learning models predict who is most likely to engage with festive content based on:

  • Sentiment analysis of social media posts

  • Engagement history on spooky keywords

  • Previous festive purchase behavior

Example: Amazon’s “Haunted Cart” Campaign

Amazon India used AI to identify users who viewed festive products but didn’t check out.
Then, AI-generated reminders like “🎃 Your Pumpkin Lights Are Still Waiting!”
The playful tone, powered by natural language generation, led to a 19% spike in cart recoveries during the Halloween week.

💡 Kodo Insight:
AI can analyze emotional intent — not just clicks.
Predictive algorithms turn “who might buy” into “who will love this.”


3. AI-Powered Visual Design: From Concept to Creation

For creative teams, the biggest Halloween nightmare used to be time.
Creating spooky visuals, costumes, filters, and short ads used to take weeks.

Now?
AI image and video tools can do it in minutes — at scale.

Example: Fanta’s “Haunted Filter Factory”

In 2025, Fanta teamed up with Meta AI to let users generate their own haunted Instagram filters using text prompts.
A user could type “make me a vampire with orange eyes,” and AI would instantly render a Fanta-branded AR filter.

The campaign saw over 12 million filter creations in a week, boosting brand visibility like never before.

💡 Kodo Insight:
AI-generated visuals deliver infinite variations with consistent branding.
Tools like Runway ML and Adobe Firefly let brands maintain creative control while unleashing audience imagination.


4. Personalization Spells: AI’s Secret Sauce for Engagement

Halloween marketing isn’t about generic ghosts — it’s about personal scares.
That’s where AI personalization engines come in.

By integrating CRM data, user behavior, and preference tracking, brands can now:

  • Send dynamic email subject lines (e.g., “👻 Ready to scare your friends, Aditi?”)

  • Auto-generate offers based on browsing behavior

  • Deliver contextual content like location-based haunted deals

Example: Starbucks “Spooky Sip” Campaign

Using AI-driven personalization, Starbucks sent users a message:

“Your favorite Pumpkin Spice Latte just got a spooky twist — it’s only available at your nearest store till midnight!”

It combined geolocation + purchase history + timing — powered by AI.
The campaign increased store visits by 21% during Halloween weekend.

💡 Kodo Insight:
AI turns personalization from a marketing trend into a sales multiplier.
It’s no longer about segmenting — it’s about speaking to one person, at one perfect moment.


5. Predictive Timing & AI Scheduling: The Witchcraft of Optimization

Timing can make or break a Halloween campaign.
Post too early — and your audience scrolls past.
Post too late — and the buzz is gone.

AI helps marketers find the perfect posting rhythm.

Using predictive analytics, tools like Google Ads AI Scheduler, Later.ai, and HubSpot AI Marketing Hub can now:

  • Analyze engagement data from previous campaigns

  • Forecast when target users will be online

  • Schedule posts dynamically (not fixed times)

Example: Cadbury’s “Midnight Magic”

Cadbury launched a campaign promoting late-night chocolate cravings.
AI analyzed Instagram usage patterns of young adults between 10 PM and 1 AM.
The result? Posts went live exactly during “scrolling hours,” gaining 3.5× higher reach than their previous Halloween campaign.

💡 Kodo Insight:
AI doesn’t just automate — it anticipates.
Marketers using AI-timed campaigns saw an average engagement lift of 32% in 2025.


6. Conversational AI: Chatbots with a Creepy Twist

Halloween is all about interaction — and chatbots are joining the party.

Brands now deploy AI-powered Halloween chat experiences that entertain, scare, and convert.

Example: Zomato’s “Chat With The Ghost Chef”

Zomato launched an in-app Halloween chatbot that asked users:

“Dare to eat after midnight?”
Users could “chat” with the ghost chef — who humorously suggested spooky dishes like “Bloody Beet Burger” or “Mummy Wraps.”

The campaign blended fun with function — promoting new restaurants while keeping engagement high.

💡 Kodo Insight:
AI chatbots are the new face of brand personality.
They make interactions memorable — turning marketing moments into brand memories.


7. AI in Influencer Campaigns: Matching the Right Creator to the Right Audience

Influencer marketing used to be about guesswork — now it’s data science.

AI-powered influencer platforms like CreatorIQ AI and Upfluence 2025 can now match creators to brands based on:

  • Tone compatibility

  • Audience engagement rate

  • Predicted conversion influence

Example: Nykaa’s “Witch in You” AI Match Campaign

Nykaa used AI to select micro-influencers who fit niche Halloween aesthetics — goth, minimalist, horror comedy, etc.
Each influencer received AI-generated creative briefs customized to their followers’ preferences.

The campaign delivered 4x more engagement compared to broad influencer blasts.

💡 Kodo Insight:
AI-powered influencer marketing is not just efficient — it’s emotionally intelligent.
It ensures that the creator’s energy matches the brand’s story.


8. AI Analytics: Measuring Fear, Fun, and Conversion

Halloween marketing isn’t just about likes and shares — it’s about impact.
AI analytics platforms now go beyond metrics to measure emotional engagement.

Tools like Google Ads Performance Max Insights, Clarabridge, and Sprinklr AI track:

  • Sentiment score of user comments

  • Emotion recognition in videos (smiles, reactions)

  • AI attribution for conversion touchpoints

Example: Burger King’s “Scary Clown Returns” Campaign

Burger King used AI sentiment tracking to monitor real-time reactions to their Halloween ad mocking McDonald’s mascots.
The AI dashboard showed positive sentiment rising by 44% within the first 6 hours — confirming the campaign’s viral success.

💡 Kodo Insight:
AI-powered analytics turn “how scary was it?” into “how successful was it.”
Real-time emotion data helps brands fine-tune future storytelling with precision.


9. The Future: AI-Generated Halloween Worlds

The next phase of festive marketing?
AI-generated experiences.

In 2026, expect brands to go beyond simple campaigns — into AI-built worlds:

  • Virtual haunted stores

  • Personalized AR horror trails

  • Voice-interactive ghost stories powered by Gemini or Sora

Imagine entering a brand’s Halloween event in VR where AI adjusts the experience based on your fear tolerance — now that’s marketing magic.

💡 Kodo Forecast:
By 2026, 60% of global brands will integrate AI-driven immersive experiences into seasonal campaigns.


10. What Marketers Can Learn from This Halloween Revolution

If there’s one takeaway from AI’s spooky season, it’s this —

AI doesn’t just make marketing easier. It makes it eerier, smarter, and infinitely more personal.

To succeed in 2025 and beyond:
✅ Embrace AI tools for storytelling, not just automation.
✅ Use predictive analytics to plan smarter, not harder.
✅ Combine human creativity with machine precision.
✅ Keep your brand’s emotional tone — even when AI writes the script.

At Kodo Kompany, we help brands craft intelligent campaigns that blend data, creativity, and storytelling.
Because when AI meets emotion — even ghosts can’t resist clicking “Buy Now.” 👻


Conclusion: The Magic Behind the Machine

This Halloween, brands across the world aren’t just running ads — they’re casting digital spells.
With AI as the creative wizard, marketing has entered a new era where personalization feels human, storytelling feels immersive, and data feels… magical.

So, as you plan your next festive campaign, remember:
AI isn’t replacing marketers — it’s empowering them to be more creative, contextual, and connected.

Because the best campaigns aren’t just smart —
They’re scary smart. 💀

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 Google Ads API v22: The AI Update for Marketers in 2025

 Google Ads API v22: The AI Update for Marketers in 2025

Google Ads API v22: The AI Update Every Marketer Needs to Know in 2025

Introduction

The future of digital advertising is here — and it’s powered by AI smarter than ever before.

In October 2025, Google rolled out its most powerful update yet: Google Ads API v22.
For marketers, this isn’t just another backend upgrade — it’s a complete shift in how campaigns are managed, optimized, and scaled.

From real-time bidding intelligence to predictive scaling algorithms, v22 introduces five major AI upgrades that will redefine what “performance” truly means.

At Kodo Kompany, we’ve been testing these features across multiple client campaigns — and the results are nothing short of transformative.

Let’s dive deep into what’s new, why it matters, and how marketers can leverage this AI-powered evolution for smarter campaigns and faster growth.


1. Smarter Bidding: AI-Powered Precision at Scale

Manual bidding is officially a relic of the past.

With v22, Google Ads introduces AI-driven Smart Bidding 2.0, designed to make bid adjustments real-time, contextual, and predictive.

Unlike older versions that optimized based on static historical data, v22’s system analyzes live signals such as:

  • Device and location patterns

  • Seasonal intent fluctuations

  • Search term relevance

  • User behavior within the last 24 hours

The AI then automatically sets optimal bids for every auction — ensuring your ad appears to the right person at the right time for the right cost.

Why It Matters

Marketers no longer need to micromanage CPC or CPA goals. The system learns continuously and adjusts dynamically.

💡 Kodo Insight:
Our early tests showed 27% lower cost-per-conversion using Smart Bidding 2.0 compared to manual strategies across e-commerce clients.


2. Predictive Scaling: From Optimization to Anticipation

One of the biggest challenges in performance marketing is knowing when to scale.
Google Ads API v22 solves this with Predictive Scaling Models — AI tools that forecast performance shifts before they happen.

Using machine learning, the API now identifies patterns such as:

  • Rising search intent in new regions

  • Audience saturation signals

  • Keyword fatigue or diminishing CTR

  • Ideal budget expansion points

This allows marketers to expand campaigns before peaks and reduce waste before dips.

Example:

Imagine a travel brand running campaigns for winter holidays.
v22’s predictive engine can detect demand surges for “Maldives honeymoon” queries weeks before it trends — automatically scaling ad delivery in high-intent regions.

💡 Kodo Insight:
Predictive scaling turns media planning from guesswork into a data-driven growth engine.


3. AI Creative Optimization: Ads That Rewrite Themselves

Performance creatives just got… smarter.

With v22, Google Ads introduces Generative Creative Testing, powered by Gemini AI.
This feature dynamically tests, rewrites, and personalizes ad copy and visuals based on real-time engagement signals.

What It Does:

  • Auto-generates multiple ad copy variations

  • Matches messaging tone to audience persona

  • Predicts click probability and replaces underperforming creatives

  • Uses generative AI to adapt visuals for device, time, and location

In short — your ad creative evolves as your audience evolves.

💡 Kodo Insight:
We found a 35% increase in CTR when combining v22’s creative AI with Kodo’s manual storytelling frameworks. Human creativity + machine optimization = unbeatable synergy.


4. Real-Time Query Intelligence: Context is the New Keyword

Remember when keyword targeting was everything?
Google Ads v22 changes the game with Real-Time Query Intelligence, allowing marketers to understand why a user searches — not just what they type.

This upgrade leverages AI-driven semantic matching, which means:

  • Ads are triggered by context and intent, not just keywords.

  • Search queries are analyzed for tone, sentiment, and intent stage.

  • Negative keyword lists update automatically based on poor engagement.

For instance, if someone searches “best affordable laptops for students,” the AI interprets it as a “budget + education intent” — optimizing bids only for products matching that context.

💡 Kodo Insight:
This feature reduces wasted impressions by up to 40% while improving conversion rates — a massive win for high-volume accounts.


5. Automated Budget Redistribution: Smarter Spend, Higher ROI

Campaign budgeting has always been reactive — until now.

The new AI Budget Orchestrator within Google Ads API v22 can reallocate spend across campaigns automatically based on real-time ROI signals.

How It Works:

  • Continuously monitors campaign performance at the ad group level

  • Detects overspending or underperforming segments

  • Moves budget toward high-performing placements

  • Integrates seamlessly with Performance Max and Shopping campaigns

This means marketers can maintain control over budgets while benefiting from autonomous optimization.

💡 Kodo Insight:
One of our retail campaigns saw 22% higher ROAS after v22 automatically shifted 15% of spend from Display to Search without human intervention.


6. Developer-Friendly Enhancements for Agencies

Beyond marketing automation, v22 also delivers backend improvements for developers and agencies:

  • New Reporting Endpoints for multi-account analytics

  • Faster API response times (40% speed gain) for dashboards

  • Improved error handling with AI-assisted troubleshooting

  • Custom conversion imports that sync with CRMs in real-time

For agencies managing multiple client accounts (like Kodo Kompany), these updates make campaign reporting and scaling significantly faster.

💡 Kodo Insight:
Now, agencies can build custom AI dashboards that visualize campaign performance beyond Google’s default reports — merging ad data with CRM and sales insights for a 360° performance view.


7. What This Means for Marketers in 2025

Let’s simplify it.
The Google Ads API v22 update = fewer dashboards, more intelligence.

For marketers, this shift means:
✅ Less manual campaign management
✅ More time spent on strategy, not settings
✅ Predictive insights replacing reactive reports
✅ AI that learns, adapts, and scales in real time

In short — Google Ads is becoming self-optimizing.
The future of ad management isn’t about who can click faster — it’s about who can think smarter.

💡 Kodo’s Perspective:
Performance marketing is moving from manual managementmachine collaboration.
Agencies that embrace AI early will dominate results, efficiency, and ROI.


8. How to Prepare Your Brand for Google Ads API v22

Ready to take advantage of these AI upgrades? Here’s how:

Step 1: Audit Existing Campaigns

Evaluate how many campaigns still rely on manual bidding or static creatives. Transition them to Smart Bidding and dynamic ad formats.

Step 2: Train Your Team

Run short internal sessions on AI bidding logic and predictive analytics — ensure every strategist understands data signals, not just ad setups.

Step 3: Integrate Your CRM

Leverage API connectors to sync offline conversions and user journeys into Google Ads for smarter attribution.

Step 4: Monitor & Iterate

AI thrives on feedback. Continuously analyze data and fine-tune goals to let machine learning models evolve effectively.

💡 Pro Tip from Kodo:
Pair Google Ads API v22’s intelligence with Kodo’s proprietary Performance Audit Framework to identify revenue leaks and growth opportunities within 72 hours.


9. Kodo Kompany’s Approach: AI-First, Strategy-Driven

At Kodo Kompany, we’re not just early adopters — we’re AI integrators.
Our in-house performance teams are already using Google Ads API v22 to:

  • Automate bid management with AI scoring

  • Design predictive scaling models for seasonal campaigns

  • Build custom real-time dashboards for clients

  • Blend creative testing with algorithmic optimization

Our goal?
To give brands human creativity with machine precision — because AI doesn’t replace strategy, it enhances it.


Conclusion: AI is No Longer Optional — It’s the Advantage

The Google Ads API v22 update isn’t just a software upgrade.
It’s a mindset shift in how marketers plan, measure, and optimize campaigns.

AI is no longer an edge — it’s the engine driving every successful ad strategy in 2025.

Brands that adapt will scale faster, spend smarter, and stay ahead of competitors still stuck in the manual mindset.

At Kodo Kompany, we help businesses harness AI not as a buzzword — but as a performance multiplier.
Because the future of marketing isn’t about running ads — it’s about running intelligence.

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Performance Marketing Mastery: Strategies That Actually Convert

Performance Marketing Mastery: Strategies That Actually Convert

Performance Marketing Mastery: Strategies That Actually Convert

Introduction

If your ads are getting clicks but not customers, you’re not alone.

In 2025, brands are spending more than ever on paid campaigns — yet fewer than 40% of marketers say they can directly link performance to ROI.
That’s because performance marketing isn’t just about traffic — it’s about measurable actions that convert.

At Kodo Kompany, we’ve helped businesses across industries — from real estate to e-commerce — turn ads into revenue machines. In this blog, we’ll break down the key strategies that actually drive conversions, not just impressions.

Let’s decode how modern brands can achieve Performance Marketing Mastery in 2025.


1. Define “Performance” Before You Spend a Rupee

Before running a single ad, ask:
👉 What does success mean for your business?

Performance marketing thrives on clarity.
Whether it’s lead generation, app installs, sales, or signups — each campaign should have a defined outcome.

Example:

  • Real Estate Brand → Goal: Qualified site visits

  • E-commerce Store → Goal: Add to Cart conversions

  • SaaS Startup → Goal: Free trial sign-ups

💡 Kodo Tip: Don’t chase “reach.” Chase “return.”
Your performance campaign is only as strong as the clarity of your metrics.


2. Master the Funnel: Awareness → Interest → Decision → Action

Most brands fail because they use the same ad for everyone.

In 2025, successful performance marketers know that different audiences need different messages.

💡 Kodo Insight: Map your funnel. Then, automate retargeting based on user behavior to push audiences to the next stage.


3. Creative Is the New Currency

With attention spans shrinking, your ad creatives must stop the scroll.
That’s why 2025 performance marketers focus on visual storytelling + data-driven testing.

Winning Creative Formula

  • Hook (2–3 seconds): Pose a problem.

  • Story (5–8 seconds): Show how your product solves it.

  • CTA (last 2 seconds): Tell them exactly what to do next.

💡 Example:
A skincare brand ad showing “Before → After in 10 Days” works better than just a static image.

Tools to Use:

  • Canva / Adobe Express – for quick design iterations

  • Pexels + Unsplash – for authentic visuals

  • Kodo’s UGC Framework – for creator-led storytelling

💡 Kodo Tip: Keep 3–5 versions of every ad creative. Test, measure, and scale only what performs — not what looks “pretty.”


4. Data Is the Real Influencer

Performance marketing lives or dies on analytics.

The difference between a good campaign and a great one?
📊 Data-backed decisions.

Metrics That Matter in 2025

  • CTR (Click-Through Rate): How engaging is your ad?

  • CPC (Cost per Click): Are you paying too much for attention?

  • CPA (Cost per Acquisition): What’s your actual cost per conversion?

  • ROAS (Return on Ad Spend): Are you making more than you’re spending?

💡 Kodo Insight:
Tracking without action is just vanity.
Every metric should inform your next optimization — not just fill your report.


5. Retargeting: Where 80% of Sales Actually Happen

Most first-time visitors don’t convert. Retargeting turns “maybe” into “yes.”

How to Do It Right

  1. Segment users (site visitors, form fills, abandoned carts).

  2. Use personalized creatives (“Still thinking about it?”).

  3. Limit retargeting windows (7–14 days max).

  4. Offer value — discounts, free demos, or guides.

💡 Example:
A fitness brand retargeting people who viewed their 7-day challenge video with “Day 1 starts today. Ready?” converts 2.5× higher.

💡 Kodo Tip:
Always exclude converted users from retargeting — or you’ll waste 30% of your ad spend.


6. Multi-Channel Presence = Multi-Source Revenue

The best-performing campaigns don’t rely on one platform.
They synergize Google, Meta, and LinkedIn Ads to build a complete funnel.

💡 Kodo Insight:
Omnichannel marketing doesn’t mean posting everywhere — it means appearing where your customer is ready to act.


7. Landing Pages That Convert, Not Confuse

Even the best ad fails if your landing page doesn’t deliver.

In 2025, landing pages need to be:

  • Mobile-first

  • Fast-loading

  • Minimal yet persuasive

The Conversion Checklist

✅ Clear headline that matches your ad
✅ Trust signals (testimonials, reviews, badges)
✅ 1 clear CTA above the fold
✅ No clutter, no distractions

💡 Example:
Changing a CTA from “Submit” to “Get My Free Report” increased conversions by 32% for one of Kodo’s SaaS clients.

💡 Kodo Tip:
Use tools like Hotjar or Microsoft Clarity to analyze user behavior and reduce drop-offs.


8. Automate or Die: Marketing in the AI Era

AI is transforming performance marketing faster than ever.

At Kodo Kompany, we use AI to:

  • Automate bid optimization

  • Predict ad fatigue before it happens

  • Personalize copy and creative for audience segments

  • A/B test at scale

Tools to Explore:

  • Meta Advantage+ – AI-driven ad distribution

  • Google Ads Scripts – automated bid & budget adjustments

  • ChatGPT + Jasper – for ad copy variants

  • HubSpot / Zoho CRM – for nurturing and remarketing

💡 Kodo Insight:
AI doesn’t replace marketers. It amplifies performance marketers who think strategically.


9. Budget Smarter, Not Harder

Throwing money at ads doesn’t guarantee conversions.
Instead, distribute your spend like a portfolio.

Kodo’s 70/20/10 Budget Rule:

  • 70% → Proven campaigns

  • 20% → Testing new ideas or creatives

  • 10% → Experimental platforms (Threads, Quora, Reddit)

💡 Example:
Our client reallocated 10% of their Instagram budget to YouTube Shorts — and doubled engagement within 14 days.

💡 Kodo Tip:
Start small, scale fast. Always increase budgets on what’s performing — not what’s trending.


10. Measure Beyond Clicks: Build Lifetime Value

Great performance marketing doesn’t end with one conversion.
It’s about repeat engagement and lifetime customer value (LTV).

Post-Conversion Tactics

  • Email automation to re-engage customers

  • WhatsApp retargeting for reminders

  • Referral programs to encourage word-of-mouth

  • Loyalty offers for existing customers

💡 Kodo Insight:
The real conversion isn’t the first purchase — it’s the second one.


Conclusion: Performance Marketing is Precision + Psychology

In 2025, mastering performance marketing means combining data precision with human psychology.
It’s not just about targeting — it’s about understanding motivation.

The brands that win are those that:
✅ Treat every campaign as an experiment
✅ Focus on clarity, not complexity
✅ Use AI to scale, not spam

At Kodo Kompany, we help businesses turn ad spend into sustainable growth — through creativity, conversion science, and continuous optimization.

Because when performance meets precision — marketing becomes magic.