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As the festive season approaches, Black Friday buzz intensifies. Last year, UK online shoppers spent a record-breaking £7.28 billion , raising the stakes for retailers worldwide. Black Friday 2024 falls on 28th November, and whether you’re a seasoned eCommerce professional or running your first online store, success depends on strategic planning and smart execution.

This guide offers actionable insights to help your business thrive, with platforms like KiwiCommerce providing the tools to gain that competitive edge.

Key Takeaways:

  • Black Friday represents a huge sales opportunity with record-breaking online spending.
  • Early planning including understanding consumer behaviour and analysing competitors is vital.
  • Optimising the online shopping experience and offering incentives such as free shipping can significantly boost sales.
  • Effective marketing strategies include building anticipation, exclusive deals, and personalisation.
  • Leveraging print-on-demand and streamlined fulfilment through KiwiCommerce can enhance operational efficiency during peak periods.

What is Black Friday?

Black Friday, the day after American Thanksgiving, marks the unofficial start of the holiday shopping period. Historically, it was coined by Philadelphia police in the 1950s due to the heavy shopping traffic and chaos, and financially, it symbolises the day retailers “go into the black.”

Today, it has evolved into a global online shopping phenomenon, with retailers offering major discounts both in-store and online, drawing millions of eager shoppers.

Black Friday vs Cyber Monday

While close in date, Black Friday and Cyber Monday serve slightly different audiences:

  • Black Friday originally focused on in-store sales, now extended online. Deals cover general merchandise and “doorbusters.”
  • Cyber Monday, introduced in 2005, focuses on tech and electronics online.

Many eCommerce businesses now run multi-day or even month-long promotions, spanning the weekend through Cyber Week.

Seven Steps to Prepare for Black Friday

1. Understand the Black Friday shopper

Knowing your audience is key to success:

  • Motivations: Shoppers hunt for unbeatable deals and exclusive products.
  • Research habits: Customers compare products online; ensure clear descriptions, quality images, and reviews.
  • Mobile-friendly: A large percentage shop via mobile, so your website must be responsive.
  • Timing: Start promotions early; many shoppers plan months in advance.
  • Security: Highlight secure payment methods and trust badges.

2. Conduct competitor analysis

Stay ahead by knowing your competitors:

  • Identify key players and niche competitors.
  • Study previous promotions and pricing strategies.
  • Analyse product ranges and unique selling points.
  • Learn from competitor reviews to avoid common pitfalls.

3. Start preparations early

Consumers start hunting for bargains as early as September.

  • Re-release popular products or introduce seasonal items.
  • Plan communications to raise awareness and anticipation.
  • Questions to consider: What will you discount? When will sales start? How will you advertise deals?

4. Optimise your website

A smooth online experience drives conversions:

  • Streamlined checkout with multiple payment options.
  • Fast-loading pages and mobile optimisation.
  • Intuitive navigation and search functionality.
  • Trust signals like SSL certificates and verified reviews.

5. Outsource production & fulfilment

Use third-party solutions to scale efficiently:

  • Vet providers for reliability, integration, speed, cost, and service.
  • Consider print-on-demand (POD) to reduce stock risk and costs.
  • KiwiCommerce offers integrated POD and fulfilment options to manage peak demand.

6. Prepare exceptional customer support

High traffic means more queries plan ahead:

  • Expand support team temporarily.
  • Train staff thoroughly on products and deals.
  • Use chatbots for instant responses.
  • Communicate clearly on shipping, returns, and policies.

7. Create a dedicated Black Friday landing page

A centralised landing page makes deals easy to find:

  • Clear, compelling messaging and high-quality visuals.
  • Countdown timers to create urgency.
  • Mobile-friendly and intuitive navigation.
  • Strong CTAs like “Shop Now” or “Limited Time Offer.”

22 Black Friday Marketing Strategies

  1. Expand your product range – Seasonal and complementary items increase average order value.
  2. Build anticipation – Teasers, countdowns, and exclusive previews drive excitement.
  3. Automate marketing – Scheduled emails, retargeting ads, and social media posts save time and boost efficiency.
  4. Offer exclusive promotions – Flash sales, bundles, and loyalty perks attract attention.
  5. Adjust pricing smartly – Use dynamic pricing, bundle offers, and tiered discounts.
  6. Provide free shipping – Encourages purchases, reduces cart abandonment, and builds loyalty.
  7. Showcase social proof – Reviews, testimonials, UGC, and influencer endorsements build credibility.
  8. Use personalisation – Tailor offers based on behaviour, segment emails, and customise shopping experiences.
  9. Social media awareness – Eye-catching visuals, hashtags, live sessions, and paid ads boost reach.
  10. Upsell & cross-sell – Offer premium versions or complementary products to maximise order value.
  11. Abandoned cart recovery – Automated emails and retargeting ads reclaim lost sales.
  12. Early bird access – Reward loyal customers with exclusive pre-sale deals.
  13. Strategic pop-ups – Exit-intent or timed pop-ups guide customers to complete purchases.
  14. New customer promotions – Welcome discounts encourage first-time purchases.
  15. Loyalty programmes – Exclusive Black Friday perks and double points drive repeat sales.
  16. Buy now, pay later (BNPL) – Appeals to budget-conscious shoppers.
  17. Referral programmes – Incentivise customers to bring new buyers.
  18. Free gifts with purchase – Encourages higher spending and adds perceived value.
  19. VIP shopping experiences – Exclusive deals and tailored recommendations for top customers.
  20. Gamification – Spin-to-win or points-based systems increase engagement.
  21. Strategise for Cyber Week – Daily themed promotions sustain sales momentum.
  22. Post-Black Friday rewards – Encourage repeat purchases with discounts, early access, or loyalty points.

Boost Black Friday Success with KiwiCommerce

Understanding consumer behaviour and employing smart marketing is crucial—but logistics matter just as much. KiwiCommerce simplifies your Black Friday operations with:

  • Print-on-demand and fulfilment integration
  • Holiday-themed personalised products
  • Streamlined inventory and order management
  • Fast, global delivery

Focus on creating an exceptional shopping experience while KiwiCommerce handles the logistics. Make Black Friday 2025 your most profitable yet!

Sign up with KiwiCommerce today to elevate your Black Friday strategy.

 

New research provides insights into how Google’s AI Overviews select and rank websites across different industries, with clear implications for what SEOs and publishers should be focusing on moving forward.

What Are AI Overviews?

AI Overviews are Google’s AI-powered summaries that appear at the top of search results, pulling together information from multiple sources to provide quick, conversational answers to user queries.

New AI Overview capabilities and features include:

  • Conversational search journeys – Users can continue asking follow-up questions without having to retype their query.
  • Integrated citations – AI Overviews cite web sources, often linking to supporting pages that influenced the summary.
  • Varied content types – Results can highlight product listings, videos, tutorials, and informational articles depending on intent.
  • Expanded coverage across verticals – Particularly strong in YMYL sectors such as healthcare, education, and insurance.
  • User-focused design – Summaries are structured to match what people are most likely looking for, based on search behaviour.

The Potential Traffic Impact of AI Overviews

AI Overviews can reshape how users interact with search results. If the answer they need is already summarised in the Overview, fewer users may scroll down to click on traditional organic listings.

That said, AI Overviews also create new entry points for visibility, since citations can drive traffic from users who want to verify the source or dig deeper. The balance between lost organic clicks and gained AI Overview citations will vary by industry. For sectors with high overlap (e.g., healthcare, education, insurance), brands that already rank strongly in organic search may benefit. For e-commerce, where overlap remains low, visibility could be harder to capture.

AI Overviews and Organic Search

The data reveals that 54% of AI Overview citations match the web pages already ranking in organic search results. This also means that 46% of citations come from outside the traditional organic listings.

One possible explanation could be linked to Google’s FastSearch algorithm.

FastSearch is powered by the RankEmbed deep-learning model, trained on search logs (click and query data) and third-party quality raters. The click data reflects user behaviour – effectively teaching the model what type of results people find most relevant. For example, if users consistently click on videos or tutorials for “How to” queries, the model learns that this is the preferred content format.

This suggests that the overlap between AI Overviews and organic results may not be purely based on traditional ranking factors (like backlinks). Instead, FastSearch may retrieve results that align with user intent and semantic relevance, which coincidentally match organic results around half of the time.

What This Means for Ranking Factors

The findings highlight the complexity of Google’s AI-driven search systems. FastSearch seems to prioritise speed, semantic relevance, and user expectations over traditional ranking signals.

This reinforces the importance of content that not only ranks well but also matches the format and type of information users are looking for. For example, a user searching for a product is unlikely to want a long-form article; they’ll expect to see the product page itself.

How the Overlap Has Evolved

When AI Overviews first launched, there was just a 32% overlap with organic results. Over the past 16 months, that overlap has grown to 54%.

However, this figure isn’t consistent across all industries – it varies significantly by vertical.

Industry-Specific Differences

The overlap between organic and AI Overview results is much higher in YMYL (Your Money or Your Life) sectors, such as healthcare, education, and insurance. This could be because these areas rely heavily on a smaller pool of highly authoritative and trusted sources.

Breakdown by sector:

  • Healthcare: 75.3% overlap (up from 63.3%)
  • Education: 72.6% overlap (up from just 19.4%)
  • Insurance: 68.6% overlap (up from 20.9%)
  • E-commerce: Only 22.9% overlap (almost unchanged, up just 0.6%)

E-commerce stands out as the sector with the lowest overlap. Interestingly, AI Overview coverage for e-commerce queries has actually declined by 7.6%. This makes sense when you consider that AI-generated summaries are helpful for research but not particularly well-suited to users who are ready to buy.

How Brands Can Optimise for Informational AI Overviews

To increase visibility in AI Overviews, brands should consider:

  • Structuring content for clarity – Concise, well-formatted answers are more likely to be pulled into AI-generated summaries.
  • Covering user questions comprehensively – Content that anticipates and answers related queries has a higher chance of being cited.
  • Aligning with search intent – For informational queries, focus on education, guidance, and tutorials rather than sales-heavy messaging.
  • Diversifying formats – Incorporating videos, visuals, and FAQs can help match the content types AI Overviews favour.

Measuring Performance in SGE

Tracking performance in AI-driven search experiences (sometimes referred to as Search Generative Experience, or SGE) requires a shift in measurement. Traditional rankings alone won’t provide the full picture.

Brands should look at:

  • Citation share – How often their pages are cited in AI Overviews.
  • Referral traffic – Click-throughs from AI Overviews versus traditional organic.
  • Content type performance – Which formats (text, video, product listings) are cited most frequently.
  • Overlap benchmarking – Comparing your brand’s overlap with industry averages to spot opportunities.

Key Takeaways for SEOs and Publishers

  • High overlap sectors (60%+): Stick with strong traditional SEO practices.
  • Low overlap sectors (<30%): Use a mixed content strategy – invest in both organic SEO and AI-optimised content.
  • Mid overlap sectors (30–60%): Build comprehensive content that serves both AI Overview inclusion and organic rankings.

Recommended Next Steps

  1. Measure Your Overlap Profile – Calculate what percentage of your AI Overview citations also appear in organic search. Compare against the 54% industry-wide average.
  2. Align Strategy with Intent – Adjust your approach based on overlap levels.
  3. Track Trends Monthly – Overlap has risen industry-wide by 22% in just 16 months. Regular monitoring ensures you spot shifts quickly, such as the September 2024 spike (+5.4%).

Ready to Future-Proof Your Visibility?

AI Overviews are rapidly reshaping search behaviour. Whether you’re in a high-overlap sector like healthcare or struggling to capture visibility in e-commerce, the key is to adapt your strategy now.

At Kiwicommerce, we help brands optimise for both traditional SEO and AI-driven search experiences. From technical optimisation to AI-ready content strategies, we’ll ensure your business stays visible as search continues to evolve.

Get in touch with Kiwicommerce today to discuss how we can strengthen your AI Overview and SEO performance.

 

Online shopping has already changed the way we buy products, but the next big shift is coming. The future of e-commerce is not just about clicking on pictures it’s about experiencing shopping in 3D, AR, and VR worlds.

Imagine putting on a headset or opening an app where you can walk inside a digital store, pick up products, try them on, and buy them all without leaving your home. That’s immersive commerce, and it’s coming faster than you think.

From Flat Screens to 3D Shopping

Today’s online stores look the same: a list of products, pictures, and prices. But immersive shopping makes the experience more real and interactive:

  • Walk inside a virtual showroom instead of scrolling a page.
  • Rotate and inspect 3D models of products.
  • Use AR on your phone to see how a sofa looks in your room.
  • Try on clothes, shoes, or glasses virtually before you buy.

How It Works (In Simple Steps)

  1. 3D Store: Built with VR/AR technology where products are displayed like in a real shop.
  2. 3D Products: Items have 3D models instead of just flat photos.
  3. AR Try-On: Use your phone camera to see how products fit in real life.
  4. AI Assistants: Virtual helpers suggest products and answer questions.
  5. Checkout Inside Experience: Customers can buy directly without leaving the virtual world.

Real-World Examples

  • Fashion: Try clothes, shoes, and accessories virtually.
  • Furniture: Place 3D furniture in your living room before buying.
  • Cars: Explore car interiors in VR before visiting a showroom.
  • Luxury Brands: Create digital showrooms where customers explore collections.

Benefits for Businesses

✅ More Customer Engagement – People spend more time in immersive stores.
✅ Fewer Returns – Customers see how products fit before buying.
✅ Global Reach – One virtual showroom can serve customers worldwide.
✅ Stronger Brand Image – A futuristic shopping experience makes brands stand out.
✅ New Revenue Streams – Digital goods (like virtual fashion or NFTs) can be sold alongside physical ones.

Technology Behind It

  • VR/AR Engines: Unity, Unreal Engine for 3D stores.
  • WebXR / Three.js: For browser-based immersive experiences.
  • ARKit, ARCore: For mobile AR try-ons.
  • AI: Virtual shopping assistants and personalization.
  • 5G & Edge Computing: Faster loading of 3D worlds.
  • Blockchain: For digital product ownership and NFTs.

The Road Ahead

Immersive shopping is not just a trend it’s the next evolution of e-commerce. In the near future, customers will move easily between:

  • Trying a product in AR at home
  • Walking through a VR store
  • Buying a digital + physical version of the same product

Brands that adopt these technologies early will have a huge advantage in attracting and retaining customers.

Conclusion

At Kiwi Commerce, we believe the future belongs to retailers who embrace innovation from AR/VR shopping experiences to AI-driven personalization. By preparing today, your business can stay ahead of the curve and deliver the kind of immersive, engaging journeys customers now expect.

👉 Ready to future-proof your store? Contact Kiwi Commerce today and start building shopping experiences your customers will never forget.

 

When it comes to staying ahead of the curve in today’s fast-paced digital world, timing is everything. Whether you’re a marketer, content creator, journalist, or entrepreneur, spotting trends early can mean the difference between leading the conversation or playing catch-up.

Fortunately, Google just made trendspotting a whole lot easier.


What Is the Google Trends API?

Google Trends has long been a go-to tool for understanding what people are searching for. But now, it’s even more powerful thanks to the launch of the official Google Trends API on 24 July 2025.

This API gives you programmatic access to real-time and historical search trend data across Google platforms. In short: you can automate trend tracking, build it directly into your tools or dashboards, and generate insights within seconds.

No more manual keyword searches.
Just smart, structured data fast.

Why Should You Care?

Imagine being able to:

  • Instantly spot rising search terms in your niche
  • Monitor interest across different regions or timeframes
  • Identify seasonal spikes before they peak
  • Feed fresh content ideas into your editorial calendar
  • Stay one step ahead of your competitors

    With the Trends API, you’re not just reacting , you’re predicting.

How to Get Started

Here’s how you can start using the Google Trends API like a pro:

1. Set Up Access

First things first: you’ll need to have a Google Cloud project and enable the API.

  1. Go to the Google Cloud Console
  2. Create a new project or select an existing one
  3. Enable the “Trends API”
  4. Set up billing (there’s a free tier to begin with)
  5. Copy your API key , this is your golden ticket to trend data

2. Make Your First API Call

You can use tools like Python, or browser-based REST clients such as Postman, to query the API.

Here’s a basic Python example:

python

CopyEdit

import requests

url = “https://trends.googleapis.com/v1beta/timelines”

params = {

    “comparisonItem”: [{“keyword”: “AI”, “geo”: “GB”, “time”: “now 7-d”}],

    “token”: “YOUR_API_KEY”

}

response = requests.get(url, params=params)

print(response.json())

 Replace “AI” with your chosen keyword and “GB” with the relevant country code.
The result? A week’s worth of trend data ,ready to drive smarter decisions.

3. Layer On the Magic

Once you’ve got access to raw data, here’s how to use it effectively:

  • Build dashboards to monitor daily keyword shifts
  • Integrate with SEO tools to guide content strategy
  • Align with social planning to match real-time search interest
  • Trigger alerts when a keyword spikes suddenly

The only limit? Your imagination (and maybe your caffeine supply).

Creative Uses of the API by Role

Developers
Create dashboards or bots to monitor keyword performance and alert teams in real time, fully integrating trend data into your tech stack.

Marketers
Use real-time search data to fine-tune targeting, identify rising topics, and optimise advertising strategies for maximum ROI.

Content Creators and Bloggers
Discover what your audience cares about now and craft relevant articles or videos before the trend peaks.

Academics and Researchers
Analyse search trends to uncover patterns in social behaviour, sentiment, or regional variation for data-driven research.

Product Teams and Start-ups
Track search interest to confirm product-market fit, anticipate user needs, and make informed development decisions.

Top Tips for Using the Trends API

Think local: Filter results by country or region to spot niche opportunities

Time it right: Compare short-term vs. long-term patterns

Compare topics: Analyse competing keywords side-by-side

Automate: Schedule scripts to run daily and feed insights to your inbox or team Slack

Don’t Wait Be the First to Know

If you’re still relying on gut instinct or last week’s headlines, you’re already behind. The Google Trends API, launched on 24 July 2025, offers a scalable, real-time solution for keeping your finger on the pulse of what the world is searching for.

So whether you’re planning your next blog post, product launch, or marketing campaign don’t guess. Know what’s trending.

 Explore the Google Trends API now

Artificial Intelligence is no longer a futuristic concept it’s embedded in our daily routines. From scheduling meetings and responding to emails to generating content and streamlining operations, AI is transforming the way we live and work.

But as AI systems become faster, more intelligent, and more capable, one pressing question grows louder:

Are we thinking enough about security?

Smarter AI, Greater Risk

AI is no longer just recommending music or answering queries. Today, it’s writing code, processing transactions, managing business systems, and even communicating autonomously with other software.

While these capabilities are impressive, they also introduce significant risk.

When AI starts making decisions that have real-world consequences, the stakes are far higher. What happens if it’s compromised? What if it’s misused? What if it makes the wrong decision?

The reality is simple: the more power we give to AI, the more rigorous our security approach must be for the sake of both the system and its users.

The Most Common AI Security Threats

Below are four of the most critical security challenges faced by modern AI systems:

1. Data Poisoning

AI learns from the data it’s trained on. If that data is tampered with — even subtly — it can produce distorted or dangerous outcomes. For instance, a product recommendation engine could be manipulated to promote fraudulent listings or misinformation.

2. Prompt Injection

This is a major concern for AI language models. Malicious users can craft carefully designed prompts that trick the AI into revealing sensitive information or performing unintended actions. If your AI is linked to systems with real-world permissions, this becomes a serious vulnerability.

3. Model Theft

AI models require significant time and investment to develop. Attackers may attempt to “steal” a model by querying it repeatedly and analysing its outputs essentially reverse-engineering its behaviour without needing the original codebase.

4. Weaponised AI

Security isn’t only about protecting AI — it’s also about protecting people from AI. We’re already seeing the rise of AI-generated phishing emails, deepfake content, and bot-driven scams. The same technologies that drive innovation can also be repurposed with malicious intent.

What Does AI Security Look Like?

Securing an AI system is different to traditional software security. Here are some key principles that are emerging as industry best practices:

Human-in-the-Loop

Even in automated environments, human oversight remains essential. AI should assist — not replace decision-making in critical sectors such as finance, healthcare, and legal services.

Input and Output Monitoring

AI vulnerabilities don’t just come from external sources. Data that goes into an AI system — and its resulting output must be closely monitored. The principle of “garbage in, garbage out” has never been more relevant.

Clear Permissions for AI Agents

If an AI agent is acting on a user’s behalf, it must operate within clearly defined permissions just as a human employee would. You wouldn’t allow a junior staff member to approve contracts without sign-off; the same applies to AI.

Secure and Isolated Deployment

AI models handling sensitive or private data should be deployed in tightly secured environments. Standard practices such as firewalls, access controls, encryption, and regular security audits must apply equally to AI infrastructure.

Explainable AI

AI should not be a black box. If an AI system makes a decision with real-world implications, we must be able to understand its reasoning. Transparency fosters accountability and builds user trust.

Final Thoughts

AI is changing the world from how we work and learn, to how we shop, interact, and create. But with this transformation comes responsibility.

We’re now building systems that are smart, adaptable, and in some cases, autonomous. Security can no longer be an afterthought it must be embedded from the very beginning.

In today’s AI-driven landscape, the most dangerous threats are not always the most obvious. Often, they emerge through subtle manipulations or misplaced trust in complex systems. If we want to continue innovating with confidence, security must be treated as the foundation, not the final detail.

At Kiwi Commerce, we believe in building technology that is not only powerful, but also safe, transparent, and secure by design.

The online world is changing at breakneck speed. People don’t just rely on search engines any more AI-driven Large Language Models (LLMs) like ChatGPT, Gemini, and Claude are quickly becoming the way users discover, reference, and interact with information.

For forward-thinking businesses, this isn’t just another digital trend. AI brings extraordinary opportunities for exposure, but it also introduces fresh questions about who owns your content, how your brand is perceived, and how you keep your digital assets safe.

Enter LLMS.txt your new line of defence.

At Kiwi Commerce, we help ambitious brands take control of their online presence in a landscape that’s always shifting. This guide will walk you through exactly what LLMS.txt is, why it’s essential, and step-by-step instructions for setting it up on platforms like WordPress, Shopify, Magento, and custom-built sites.

What is LLMS.txt and Why Does It Matter?

Think of LLMS.txt as the modern cousin to robots.txt. Where robots.txt tells search engine spiders which pages to crawl or ignore, LLMS.txt speaks to AI bots—those LLM-powered tools that are busy gathering and learning from web content, sometimes without you even realising.

So, what can you do with LLMS.txt?

  • Decide if AI crawlers can see all, some, or none of your website.
  • Write custom rules for individual bots like letting ClaudeBot in, but keeping GPTBot out.
  • Shield private or sensitive parts of your site, like user accounts or checkout pages, from being scraped.
  • Make sure your content appears in AI outputs the way you intend or is left out altogether.

Why Should Every Business Have LLMS.txt?

Let’s be honest: your website content is one of your most valuable digital assets. With LLMS.txt in place, you can


  • Safeguard your hard work – Stop competitors, aggregators, or rogue bots from misusing your product descriptions, blog posts, and creative assets.
  • Protect your brand’s reputation – Prevent out-of-context AI summaries from misrepresenting your tone, ethics, or expertise.
  • Boost data privacy – Keep customer and sensitive business info away from prying digital eyes.
  • Stay ahead of the curve – Show your customers and partners that you take AI compliance and innovation seriously.

For us at Kiwi Commerce, adding LLMS.txt isn’t just about following best practice it’s about owning your brand’s story in an AI-powered world.

How To Add LLMS.txt to Your Website

The nuts and bolts depend on what your site is built with. Here’s how to do it for each major system:

WordPress

  1. Log into your web hosting panel (like cPanel or Plesk), or use an FTP client.
  2. Navigate to your site’s root folder, usually called /public_html/.
  3. Create a new text file, and call it llms.txt.
  4. Add your crawler rules. Try this as a template:
User-agent: GPTBot
Disallow: /wp-admin/
Allow: /blog/
  1. Save and upload the file. Test it’s live by visiting www.yourdomain.com/llms.txt.

Kiwi Commerce tip: If you prefer, use a plugin such as File Manager or an SEO tool that lets you edit files directly in your dashboard no coding necessary.

Shopify

Shopify doesn’t allow direct access to your website’s root, but there is a workaround:

  1. In your Shopify admin, go to Online Store → Themes.
  2. Click Edit Code on your active theme.
  3. In the Assets folder, create a new file called llms.txt.
  4. Add your rules. For example:
User-agent: *
Disallow: /checkout/
Allow: /collections/
  1. Save, then check www.yourdomain.com/llms.txt to make sure it’s accessible.

Kiwi Commerce tip: Want even tighter control? We offer developer solutions to proxy the file properly, so even advanced bots get the message.

Magento

  1. Connect to your server via FTP or SSH.
  2. Head to your Magento root directory.
  3. Create llms.txt and include rules such as:
User-agent: ClaudeBot
Disallow: /customer/
Disallow: /checkout/
Allow: /products/
  1. Upload and make sure it’s live at www.yourdomain.com/llms.txt.

Kiwi Commerce tip: Always block customer and checkout pages—keep that sensitive data safe.

Custom-Coded Sites (PHP, Node.js, React, etc.)

  1. Open your site’s root directory.
  2. Create a new text file—llms.txt.
  3. Enter your rules, like:
User-agent: *
Disallow: /internal/
Allow: /articles/
  1. Deploy the file to your live web server. Double-check it loads via your browser.

Kiwi Commerce tip: Ensure your server (Apache, Nginx, etc.) is set up to serve .txt files. If you’re not sure, ask your hosting provider most can help in minutes.

LLMS.txt Best Practices

  • Always put the file at your site’s root for maximum effect.
  • Write clear, simple rules avoid technical jargon or vague language.
  • Update the file as your website grows, adding or removing rules as needed.
  • Block all private or sensitive areas by default. Allow areas specifically designed for public or marketing content.
  • Remember that LLMS.txt is advice to AI bots it’s not bulletproof security, so always use it as part of a broader digital protection plan.

Example LLMS.txt Configurations

Block All AI Bots

User-agent: *
Disallow: /

Allow Only Your Blog

User-agent: *
Disallow: /
Allow: /blog/

Block Just One AI Bot (e.g., GPTBot)

User-agent: GPTBot
Disallow: /

Final Thoughts

AI is reshaping how people discover brands and products. With LLMS.txt, you call the shots deciding exactly which areas of your website should be open to AI crawlers and what should remain off-limits.

Here at Kiwi Commerce, we’re experts at integrating LLMS.txt across WordPress, Shopify, Magento, and custom sites. Whether you want your website invisible to LLMs or you’d like to showcase certain pages for digital visibility, we ensure your content and your brand is protected.

Future-proof your website today. Contact KiwiCommerce to get started with LLMS.txt and secure your business for tomorrow’s digital challenges.

Powering the Future of Business with Kiwi Commerce

In the past decade, Artificial Intelligence (AI) and Machine Learning (ML) have evolved from concepts in science fiction to essential technologies embedded in everyday life. From voice assistants like Siri and Alexa to tailored Netflix recommendations, AIML is transforming how we live, work, and interact with the digital world.

But what exactly are AI and Machine Learning and why should your business care?

What is Artificial Intelligence (AI)?

Artificial Intelligence refers to machines designed to mimic human intelligence. These systems are capable of thinking, reasoning, and making decisions much like a person would. AI encompasses a variety of disciplines, including:

  • Natural Language Processing (NLP): enabling computers to understand and generate human language.
  • Computer Vision: allowing machines to interpret and analyse images and videos.
  • Robotics: where machines perform physical tasks independently.

What is Machine Learning (ML)?

Machine Learning is a branch of AI focused on developing algorithms that learn and improve from data without being explicitly programmed. Think of it as teaching a child by example rather than giving step-by-step instructions.

The main types of ML are:

  • Supervised Learning: training models on labelled datasets.
  • Unsupervised Learning: uncovering patterns in unlabelled data.
  • Reinforcement Learning: learning through trial and error, rewarded by success.

Real-World Applications of AIML

AI and Machine Learning are revolutionising industries across the board:

  • Healthcare: from predicting illnesses to personalised treatment and diagnostic imaging.
  • Finance: fraud detection, risk analysis, and algorithmic trading.
  • Retail: personalising shopping experiences, optimising stock levels, and automating customer service with chatbots.
  • Transport: developing autonomous vehicles, optimising routes, and predictive maintenance.

Tools and Technologies Behind AIML

Developing AI-powered solutions relies on a variety of tools, including:

  • Programming Languages: Python, R, Julia.
  • Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras.
  • Cloud Platforms: Google AI, Microsoft Azure ML, IBM Watson, AWS SageMaker.

The Future of AI and Machine Learning

As computing power increases and data availability expands, AI’s potential grows rapidly. Emerging trends include:

  • Ethical AI: building fair and transparent models.
  • Explainable ML: ensuring decisions made by AI can be understood.
  • Edge AI: running models directly on local devices for faster, more private processing.

These advances are making AI accessible to a broader audience — from individual developers to large enterprises — opening up exciting opportunities for innovation.

Getting Started with AIML

Interested in exploring AI and Machine Learning? Here’s how to begin:

  1. Learn Python – the most widely used language for AI development.
  2. Study the basics of statistics, probability, and linear algebra.
  3. Use online courses from platforms like Coursera, edX, or free tutorials on YouTube.
  4. Build simple projects such as a spam filter or movie recommendation system to practise your skills.

Final Thoughts

AI and Machine Learning are far more than buzzwords they mark a transformative shift in how technology solves problems and drives decision-making. Whether you’re a developer, business owner, or simply curious, now is the perfect time to engage with AIML and unlock its potential for your business.

At Kiwi Commerce, we’re committed to helping businesses harness these intelligent technologies to thrive in a rapidly changing digital landscape.

Online search is evolving fast. In 2025, it’s no longer just about appearing in Google results — it’s about being visible across AI tools, voice assistants, and generative search platforms.

To stay competitive and grow your online visibility, your brand should combine four key approaches:

  • SEO – Search Engine Optimisation
  • AEO – Answer Engine Optimisation
  • GEO – Generative Engine Optimisation
  • AXO – AI Experience Optimisation

At Kiwi Commerce, we’re helping businesses adapt to this new digital landscape. Here’s how to bring all four strategies together for long-term success.

What Do These Mean?

Let’s break down what each one does:

  • SEO – Ensures your site ranks in traditional search engines like Google or Bing
  • AEO – Helps your answers appear in featured snippets, voice search, and AI-powered results
  • GEO – Makes your content visible to AI tools like ChatGPT, Perplexity, and Google SGE
  • AXO – Enhances your website experience using AI to personalise, support, and engage visitors

Why Combine These Strategies?

Using SEO, AEO, GEO and AXO together allows you to:

  • Be found by both human users and AI
  • Appear in direct answers and featured results
  • Be referenced or quoted by AI-generated content
  • Deliver a smarter, more interactive experience that builds trust and drives conversions

How to Optimise – Step by Step

1. Get Your SEO Foundations Right

Before diving into AI-focused tools, make sure your website is properly optimised for search.

Key actions:

  • Use keywords based on real search intent
  • Create content around questions and problems your audience is trying to solve
  • Ensure fast load speeds and mobile responsiveness
  • Apply structured headings and internal links
  • Add schema markup for articles, FAQs, and products where relevant

Example:
If you’re an accountant in the UK, use search terms like “file tax return 2025”, “HMRC deadlines”, or “UK tax advice”.

2. Add AEO – Answer Engine Optimisation

Help your content appear as quick answers in AI tools and voice assistants.

Key actions:

  • Write clear, direct answers near the top of your pages
  • Add a question-and-answer section using common queries
  • Keep the tone conversational and easy to read aloud
  • Use FAQ schema so search engines can feature your answers
  • Keep responses under 50 words when possible

Example:
Q: What is the UK tax deadline for 2025?
A: The deadline for online Self Assessment tax returns is 31 January 2025.

3. Apply GEO – Generative Engine Optimisation

Optimise your content to be cited by generative AI tools like ChatGPT and Perplexity.

Key actions:

  • Include original statistics, facts, or practical tips
  • Reference your brand or website in important statements
  • Link to trusted sources when quoting external data
  • Write content that’s clear, factual, and easy to reference

Example:
According to GreenBuildHomes.co.uk, installing solar panels in the UK can save homeowners up to ÂŁ500 per year on energy bills.

This makes it easy for AI tools to recognise and reference your site.

4. Improve User Experience with AXO

AI Experience Optimisation is about making your website more helpful, interactive, and intelligent — encouraging users to stay longer and convert.

Key actions:

  • Add a chatbot or virtual assistant to guide users
  • Create interactive tools like checklists, quizzes or calculators
  • Suggest related content or products based on user behaviour
  • Collect feedback and use it to refine your AI tools and site content

Example:
An AI assistant might ask:
“Are you employed or self-employed? I can guide you through your tax steps for 2025.”

Practical Example: Eco-Home Advice Website

If you run a site focused on eco-friendly home upgrades:

  • SEO: Target keywords such as “eco home improvements UK 2025”
  • AEO: Answer FAQs like “What is the Green Home Grant?”
  • GEO: Publish data or case studies that AI tools can quote
  • AXO: Add a quiz to help users identify the best upgrades for their home

By applying all four techniques, you’re improving visibility across traditional and AI search channels — while offering a better user experience.

Your 2025 Visibility Checklist

To prepare your site for the year ahead:

  • Review SEO basics: speed, mobile usability, keywords, structure
  • Add direct, question-based answers for AEO
  • Include original insights for GEO referencing
  • Introduce AI-powered tools for smarter user interaction
  • Make your content easy to quote, link to, and understand
  • Always focus on being helpful, clear, and user-driven

Be Found, Be Featured, Be Trusted

Success in 2025 is about more than just rankings. To grow online, your business needs to:

  • Be visible in traditional search
  • Be featured in AI-generated answers
  • Be cited by tools like ChatGPT
  • Be trusted by users for providing value and clarity

At Kiwi Commerce, we help businesses optimise for the full spectrum of search and AI discovery — with strategies designed for the future of the web.

Ready to Take the Next Step?

Whether you’re a startup, freelancer, or established brand, we’re here to help you boost visibility and grow your digital presence.

Contact Kiwi Commerce today to get started.

In today’s always-connected world, smartphones and tablets are more essential than ever. But one common frustration continues to plague users: screen damage. Now, Apple is set to revolutionise durability once again—this time with a pioneering innovation known as Liquid Glass.

As a brand at the forefront of e-commerce performance and innovation, we at Kiwi Commerce are always tuned in to developments like these, which may influence future product design, manufacturing standards, and consumer expectations.

What Exactly Is Liquid Glass?

Liquid Glass is a nanotechnology-based coating made from silicon dioxide (SiO₂)—a natural compound found in quartz. When applied, it forms an ultra-thin, invisible layer that bonds with surfaces like glass or metal. The result? A near-invisible shield that boosts protection against scratches, minor impacts, and even microbial build-up.

Unlike bulky screen protectors or plastic films, Liquid Glass enhances durability without affecting clarity or touch responsiveness.

How Apple Might Implement Liquid Glass

Apple has always been a leader in material innovation—from ceramic shields to sapphire lenses. Now, it appears they’re exploring Liquid Glass to elevate the toughness of iPhones and iPads even further.

Reports suggest Apple may use Liquid Glass in two ways:

  • As a surface coating applied during manufacturing
  • Or embedded directly into the glass fabrication process

Either method could drastically improve drop resistance, reduce microabrasions, and extend the life of your device—all while preserving sleek design and user experience.

Key Advantages of Liquid Glass

Here’s why Liquid Glass is attracting attention in tech circles:

Scratch Resistance
Forms a strong, glass-like surface that helps protect against keys, coins, and general wear.

Antibacterial Properties
Its surface naturally resists bacterial adhesion, helping to keep devices more hygienic.

Eco-Friendly Alternative
Reduces dependency on disposable plastic screen protectors—great for sustainability.

Invisible & Responsive
No interference with screen clarity or touch sensitivity—just seamless protection.

What This Means for the Future of Device Design

Apple’s interest in Liquid Glass could signal a broader shift across the tech industry. If widely adopted, we could see:

  • Longer-lasting consumer electronics
  • Reduced e-waste and screen protector usage
  • More sustainable product development practices

It’s not just a win for consumers—it’s a step forward for manufacturers seeking durability without compromise.

Final Thoughts from Kiwi Commerce

At Kiwi Commerce, we thrive on innovation—whether it’s building Magento solutions or tracking material science breakthroughs that reshape the way we interact with technology. Apple’s foray into Liquid Glass technology is more than just a rumour—it’s a glimpse into a tougher, smarter, and more sustainable tech future.

Stay tuned—we’ll be keeping a close eye on how this technology develops, and what it could mean for the broader digital commerce landscape.

Want future-proof performance for your Magento store?
Partner with Kiwi Commerce and stay ahead of the curve—from the backend to the user experience.

Low website traffic can feel like shouting into the void — especially when you’ve invested time, budget, and creativity into building a site that should be performing.

Whether you’re running an eCommerce store struggling to get product visibility or a B2B service business with underperforming landing pages, the underlying issue is often the same: your site isn’t getting found — or isn’t resonating when it is.

At Kiwi Commerce, we help businesses fix that by going far beyond basic SEO. In this guide, we’re sharing advanced SEO techniques that are working right now for real brands — in both eCommerce and B2B service industries.

First, Identify the Root Cause

Before implementing any fixes, it’s critical to understand why your traffic is low. Here are some high-impact areas to audit:

  • Is your site targeting the right search intent?
  • Are technical SEO errors blocking crawlers?
  • Are your pages slow, unresponsive, or poorly structured?
  • Is your content deep enough to rank — or too thin to matter?
  • Are you relying on outdated keyword strategies?
  • Is your backlink profile competitive?

Pro tip: Tools like Ahrefs, SEMrush, Screaming Frog, and Google Search Console offer rich data to diagnose these issues.

Advanced SEO Fixes for Business & eCommerce Sites

Now, let’s dig into the strategic SEO techniques that make a measurable difference — whether you’re offering services, selling products, or both.

1. Intent-Driven Keyword Mapping Across the Funnel

What it is: Aligning pages with search intent across the entire user journey — from awareness to decision.

For service businesses:
Map keywords like:

  • “Best HR automation tools” → Informational blog
  • “HR automation agency UK” → Service page
  • “Request HR software demo” → Conversion landing page

For eCommerce:
Target both high-volume and hyper-specific long-tail keywords:

  • “Men’s waterproof trail shoes UK”
  • “Next-day delivery hiking boots”

Advanced tip: Build an internal keyword matrix that categorises queries by:

  • Intent (informational, navigational, transactional)
  • Funnel stage (awareness, consideration, decision)
  • Page type (blog, category, product, service)

2. Entity-Based SEO & Semantic Optimisation

Google is evolving from keywords to entities — people, places, products, and concepts.

What to do:

  • Build content clusters around core topics and connect them using internal linking.
  • Use semantic variations and structured data to reinforce context (e.g. “PPC audit”, “paid search analysis”, “Google Ads strategy”).
  • Optimise your About page and author bios — especially for B2B. Google looks for E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness).

Tools:
InLinks, SurferSEO, and Clearscope help you semantically optimise for topical relevance.

3. UX & Conversion-Focused SEO (Rank + Retain)

Ranking means little if users bounce.

For eCommerce:

  • Reduce friction in checkout — speed, trust signals, guest checkout options.
  • Place high-impact CTAs above the fold (“Buy Now”, “Back in Stock”, “Only 2 Left”).
  • Add product FAQs and video demos to reduce bounce rate and support SEO.

For service providers:

  • Use interactive tools (e.g. ROI calculators, pricing estimators) on service pages.
  • Embed lead-generation forms naturally within long-form content.
  • Add “quick wins” as downloadable assets (guides, templates, checklists) to capture leads mid-funnel.

4. Zero-Click SEO & Featured Snippet Targeting

People aren’t always clicking anymore — but that doesn’t mean you can’t win visibility.

What to do:

  • Optimise for featured snippets by answering questions directly in <p> tags or lists.
  • Add FAQ schema to get rich results in SERPs.
  • Create glossary or knowledge base pages to rank for high-volume, low-click queries.

Example:
A service page on “eCommerce strategy” could also rank for “What is an eCommerce growth strategy?” with a well-structured paragraph and schema.

5. Programmatic SEO for Scalable Content Growth

If you offer lots of variations — products, locations, industries — programmatic SEO can unlock massive visibility.

How it works:

  • Use a CMS or headless setup to create thousands of pages dynamically.
  • For B2B: “PPC for [industry]” → Finance, Healthcare, SaaS, etc.
  • For eCommerce: “Shoes for [activity]” → Trail running, indoor, casual.

Bonus: Use dynamic internal linking strategies and canonical tags to avoid duplicate content penalties.

6. Content Refresh Strategy (Update vs Rewrite)

Google favours fresh and relevant content — especially for YMYL (Your Money or Your Life) topics.

What to do:

  • Re-optimise older pages that are slipping in rankings.
  • Update statistics, screenshots, and links.
  • Expand thin content with FAQs, case studies, or testimonials.

Pro tip: Prioritise pages ranking between positions 5–20 — these are often one step away from page one.

7. Backlink Engineering: Building Real Authority

Forget directory spam or shady outreach. Build links that Google respects:

For service businesses:

  • Publish in-depth case studies and promote them to industry blogs.
  • Answer journalist queries through platforms like HARO or Featured.
  • Host webinars and collaborate on whitepapers.

For eCommerce:

  • Build “link-worthy” content like buying guides, trend reports, or ethical sourcing stories.
  • Partner with micro-influencers or affiliates who link back to product categories.

Don’t forget: Internal linking is just as crucial. Link strategically between high and medium authority pages to pass equity and boost discoverability.

8. Technical Excellence = SEO Advantage

Technical issues drag down even the best content.

Must-do fixes:

  • Remove crawl blocks in robots.txt or noindex tags.
  • Use canonical tags correctly (especially in product variants or service categories).
  • Compress images and enable lazy loading.
  • Use Hreflang for international stores or multilingual services.

Tools like Screaming Frog, Sitebulb, and Google Search Console should be part of your regular technical SEO audits.

Final Word from Kiwi Commerce

Fixing low traffic isn’t about chasing Google’s latest shiny update — it’s about building a search engine-ready, user-friendly, and growth-focused digital ecosystem.

Whether you’re running a service-based business looking to drive high-quality leads, or you manage an eCommerce brand fighting for visibility in a crowded market — the key is alignment. Your content, your structure, your authority, and your experience must all point in the same direction.

At Kiwi Commerce, we deliver data-led SEO strategies that aren’t just theoretical — they’re working for our clients right now.

In today’s digital-first retail landscape, data is more than just numbers—it’s the lifeblood of modern e-commerce. At Kiwi Commerce, we believe that harnessing the power of big data can transform how businesses understand, engage, and retain their customers.

What Is Big Data?

Big data refers to vast volumes of structured and unstructured data generated from online interactions, transactions, devices, and platforms. In e-commerce, this includes everything from website traffic and purchase history to customer reviews and social media activity.

But it’s not just about the size of the data—it’s about how effectively businesses can analyse it to uncover valuable insights and take informed action.

Why Big Data Matters in E-Commerce

  1. Enhanced Customer Experience
    Big data enables personalised shopping experiences by helping retailers understand individual preferences and behaviours. From recommending relevant products to tailoring email marketing campaigns, data-driven personalisation drives customer satisfaction and loyalty.
  2. Improved Inventory Management
    Analysing purchasing patterns and seasonal trends allows businesses to forecast demand more accurately. This reduces overstocking, minimises stockouts, and ensures products are available when and where customers need them.
  3. Smarter Pricing Strategies
    Through real-time market analysis and competitor benchmarking, big data supports dynamic pricing models that adjust based on demand, inventory levels, and consumer behaviour—maximising both sales and profit margins.
  4. Better Targeted Marketing
    Customer segmentation powered by data analysis helps you create more targeted and effective marketing campaigns. By reaching the right audience with the right message, brands can improve engagement rates and return on ad spend.
  5. Fraud Detection & Prevention
    Big data helps detect unusual transaction patterns that may indicate fraud. By flagging these activities early, businesses can protect themselves and their customers more effectively.

How to Leverage Customer Insights at Kiwi Commerce

At Kiwi Commerce, we specialise in data-driven e-commerce solutions that help brands unlock the full potential of their customer data. Here’s how we can help you leverage big data:

  • Advanced Analytics Integration: We integrate robust analytics tools with your online store, enabling real-time tracking of customer journeys, behaviours, and sales trends.
  • Custom Reporting Dashboards: Visualise your most important metrics with customised dashboards that provide actionable insights tailored to your business goals.
  • Personalisation Engines: Implement AI-powered personalisation engines that adapt content, product recommendations, and marketing offers to individual user preferences.
  • Data-Backed Optimisation: From website UX enhancements to A/B testing strategies, we use data to inform every optimisation decision we make.

The Future Is Data-Driven

The future of e-commerce belongs to those who can make sense of the data they collect. With customer expectations higher than ever, using big data to deliver timely, relevant, and meaningful experiences is no longer optional—it’s essential.

At Kiwi Commerce, we’re here to guide you every step of the way on your data transformation journey. Whether you’re just beginning to explore the power of analytics or looking to scale your data capabilities, our team is ready to help you turn insights into impact.


In both the service industry and online retail, success hinges on one simple question: What do you want your customer to do next? The answer lies in your Call to Action — that crucial moment where interest turns into engagement, and clicks turn into conversions.

At Kiwi Commerce, we’ve helped brands across the UK optimise their websites, digital campaigns, and customer journeys. Whether you’re running a thriving eCommerce store or a B2B service business, strategic CTAs (Calls to Action) are one of the most powerful tools in your marketing toolkit.

Let’s break down why they matter — and how to use them effectively

What Exactly Is a Call to Action?

A Call to Action (CTA) is a prompt that guides users towards a specific goal — making a purchase, requesting a quote, downloading a resource, or subscribing to a service.

In simple terms, a CTA tells your audience what to do next.

Depending on your business, it might look like:

For eCommerce / Retailers
🛒 “Add to Basket”
🎁 “Claim Your Discount”
🚚 “Get Free Shipping Today”

For Service-Based Businesses
📞 “Book a Free Consultation”
đŸ“© “Contact Our Team”
📄 “Download the Case Study”

CTAs appear everywhere — buttons, banners, emails, pop-ups, product pages, landing pages, social media
 and each one plays a vital role in moving users down the funnel.

Why CTAs Are Critical to Your Business (Service & Retail)

Whether you’re selling shoes or selling services, CTAs can:

1. Increase Conversions

A strong CTA is the difference between a bounce and a booking, a scroll and a sale. It guides users to act quickly and clearly.

2. Guide the Customer Journey

Don’t leave your customers guessing. CTAs help shape their journey across your site, from discovery to decision-making. Think “Explore Services” on a B2B homepage or “Shop the Look” in fashion retail.

3. Reinforce Brand Tone

Your CTA language says a lot about your brand. A bold “Let’s Do This” can position your business as proactive and modern, while a refined “Enquire Now” offers a more premium, professional tone.

4. Create Urgency

CTAs with urgency — “Last Chance to Save”, “Limited Offer”, or “Only 3 Left in Stock” — can nudge users toward instant action.

How CTAs Differ Between Business Services & Shopping

In eCommerce (Shopping)

CTAs are typically transactional, quick, and focused on moving users toward a purchase.

  • “Buy Now”
  • “Get It Before It’s Gone”
  • “Add to Wishlist”

Placement is key here — CTAs must be visible on product pages, category pages, and even post-purchase (e.g. “Shop More Deals”).

In Business Services

CTAs are often educational or consultative, designed to build trust and lead generation.

  • “Speak to an Expert”
  • “See How It Works”
  • “Download Our Brochure”

Here, CTAs should be sprinkled across landing pages, blog posts, case studies, and service pages to drive form submissions, calls, or enquiries.

Our POV at Kiwi Commerce

Having worked across both sectors — retail and B2B — we’ve seen the impact a well-crafted CTA can make.

For one B2C fashion brand, we replaced a generic “View More” button with “See What’s Trending” and saw a 24% uplift in clicks to product pages.

For a B2B client offering bespoke software solutions, we introduced a multi-step CTA journey:

  1. “Explore Solutions”
  2. “Download the Guide”
  3. “Book a Strategy Call”

The result? A 37% increase in lead quality and a shorter sales cycle.

What Makes a Great CTA?

Here are the CTA best practices we recommend — across all industries:

💬 Use Clear, Compelling Language

Use action-driven verbs and value-led words:

  • “Get Started Free”
  • “Boost Your Performance”
  • “Grab 10% Off Today”

Understand Your Audience Intent

Some users are ready to buy, others are just browsing. Offer primary and secondary CTAs:

  • “Buy Now” vs “Learn More”
  • “Book a Demo” vs “Watch a Video First”

Design for Attention

Use contrasting colours, whitespace, and concise copy to make CTAs pop. Placement matters — above the fold, sticky buttons, and exit-intent pop-ups all work well.

Test, Optimise, Repeat

CTA effectiveness varies between audiences and platforms. Run A/B tests to see what drives the best engagement — text, colours, button size, position, even emojis!

Final Thoughts

Whether you’re selling a product or offering a premium service, CTAs are more than just buttons. They’re micro-moments of persuasion that shape your customer’s next move.

At Kiwi Commerce, we specialise in creating seamless user journeys — with CTAs that convert, whether you’re in retail, SaaS, or a service-based business. Our approach blends UX design, data analysis, and conversion strategy to make every CTA count.

📣 Ready to elevate your calls to action and turn more clicks into customers? Let’s have a conversation.
👉 Get in touch with Kiwi Commerce

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