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Did you know 3 out of 5 websites bury their Add to Cart (CTA) button?
This one small mistake can drastically impact:

  • Your Add to Cart rate
  • Your overall conversion rate
  • And ultimately, your revenue and profits

But this doesn’t mean you should plaster the CTA at the top of your product page. Instead, it should be placed strategically, right when your visitor is ready to take action. A well-timed, well-placed CTA can significantly enhance user experience and conversion outcomes.

Let’s explore how optimising the Cart Page and Checkout UX can supercharge your results using Cetaphil’s product page as a reference.

Whether you use Shopify, Magento, or the HyvÀ theme, these optimisation strategies apply seamlessly to your store.

10 Proven Changes That Drive Conversions

Using a before-and-after design example of Cetaphil’s product detail page, here’s how to optimise for higher conversions:

1. Purpose Above Product Name
Place the problem your product solves just above the product name. For example, “Dry Skin | Acne-Prone Skin”. This instantly tells the visitor if the product is relevant.

2. Add a 1–2 Line Summary
Just under the product name, include a benefit-driven summary. This warms the user up and gets them interested.

3. Price Justification with Clarity
Show product quantity, unit size (e.g., 125ml), and price per unit. This makes your pricing look more transparent and trustworthy.

4. Showcase Results Visually
Overlay key results or numbers from clinical studies on the product image — like “95% saw clearer skin”.

5. Use Image Thumbnails
Include thumbnails showing product benefits, ingredients, and usage — not just pack shots.

6. Bullet Summary of Benefits
Before the Add to Cart button, add quick, scannable bullet points summarising top benefits (e.g., “Reduces fine lines”, “Deep cleans gently”).

7. Upsell Smartly
Offer quantity options and show potential savings (e.g., “Save 10% on 250ml”). This encourages customers to buy more and boosts average order value.

8. Delivery Promise Near CTA
Place shipping time and delivery rates just around or under the Add to Cart area. This builds trust and urgency.

9. Icons for Product/Brand USPs
Visual elements like icons for “Free Shipping”, “Paraben Free”, “Easy Returns” add credibility and simplify complex info.

10. Cross-Sell with Relevance
Use a “Complete Your Routine” section to offer relevant add-ons. This makes it easier for users to shop more without hunting for related products.

Bonus UX/UI Enhancements

Aside from these 10 core CRO principles, the proposed version of the PDP also:

  • Added a cart icon in the header to reduce friction
  • Included a free shipping info bar to remove hesitation
  • Reduced image height for quicker scrolling on mobile

Final Thoughts

Small UX decisions like when and where you show your Add to Cart button can make a massive difference. It’s not just about placing it above the fold it’s about contextual timing and psychological readiness.

When you guide users through their buying journey step-by-step and build trust with clarity, social proof, and relevance, your conversions will naturally increase. That’s exactly what Kiwicommerce helps you achieve optimizing your store experience for higher engagement and better results.

 

The rise of Composable Commerce has reshaped how businesses think about building their digital commerce platforms. By combining specialist tools a CMS here, a PIM there, a custom checkout solution brands can create tailored systems designed for agility and speed.

At first glance, this shift might seem to leave platforms like Magento 2 behind.

But that’s far from the case.

Magento 2 continues to power some of the world’s most complex, high-performing, and customisable online stores and its relevance is only growing.

So why does Magento 2 still matter in a world moving towards composability?

What is Composable Commerce?

Composable Commerce is the approach of constructing an eCommerce ecosystem using a collection of specialised, best-in-class tools. For example, a business might choose:

  • Shopify for checkout,
  • Contentful as a CMS,
  • Akeneo for product information management,
  • Algolia to power search.

This approach offers flexibility, fast iteration, and the potential for better performance — particularly for large-scale operations.

However, it also comes with greater technical overhead: integrating and managing multiple vendors, ensuring compatibility, maintaining security, and often, higher ongoing costs. It’s powerful, but not necessarily the most practical solution for every business.

Where Magento 2 Excels

1. Comprehensive Core, Endless Flexibility

Magento 2 provides a full-featured, robust eCommerce platform out of the box. Businesses can launch and grow without needing to assemble a patchwork of services just to get online.

Yet, it’s also incredibly adaptable. Whether you’re running a boutique D2C brand or a large-scale global operation, Magento 2 allows for deep customisation, seamless integrations, and the ability to scale at your own pace.

2. Headless-Ready, But Not Required

Composable systems often rely on headless architecture — decoupling the frontend and backend to allow for faster and more flexible user experiences. Magento 2 supports headless builds, including modern frameworks like HyvĂ€, which dramatically improve frontend speed and performance.

That said, Magento doesn’t force you down the headless route. If a traditional monolithic approach suits your business better, Magento supports that too. The platform is about adapting to your business model, not the other way around.

3. Trusted Ecosystem with a Global Community

Magento is backed by one of the world’s largest and most experienced open-source communities. Thousands of developers contribute to the platform, and its ecosystem includes thousands of extensions, integrations, and support partners.

This maturity and depth mean you’re never short of expertise — whether you’re working with a UK-based agency or managing development in-house.

4. Full Control and Long-Term Ownership

Magento Open Source gives you complete ownership over your platform:

  • You’re not locked into a particular vendor,
  • You have full control over hosting and infrastructure,
  • Your data, security, and compliance processes remain entirely yours to manage.

In today’s climate, where data protection and platform independence are increasingly critical, this is a significant advantage.

Composable or Customisable – Which Do You Need?

Composable Commerce offers incredible freedom — but it’s not without complexity. For enterprises with large technical teams, it might be the right approach.

But for many businesses, Magento 2 offers a more balanced solution: a flexible, powerful platform that doesn’t require extensive vendor management or a completely custom stack just to operate effectively.

Magento 2 in 2025: Flexible, Scalable, Reliable

From niche retailers managing a few hundred products to global brands handling thousands of SKUs across multiple territories, Magento 2 continues to deliver performance, adaptability, and control.

The eCommerce world is evolving, and Magento 2 is evolving with it — not being left behind.

Final Thoughts

Composable Commerce and Magento 2 share the same fundamental values: flexibility, autonomy, and future-ready architecture.

The key difference? Magento 2 allows businesses to embrace that flexibility without overcomplicating their tech stack. With the right development partner and strategy in place, Magento 2 doesn’t just support your online store it powers your entire growth journey.

At KiwiCommerce, we’re here to help you unlock the full potential of Magento 2 and turn your vision into measurable success.

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.

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.

Klarna has officially deprecated its legacy Web SDK, a move that directly impacts Magento merchants using Klarna’s On-Site Messaging (OSM) to display financing options and promotional banners. This change is part of Klarna’s broader strategy to improve performance, enhance security, and ensure regulatory compliance across its integrations.

In this article, we explain why Klarna has retired the Web SDK, how it affects your Magento store, and what steps you should take to migrate to the new version.

Why Klarna Retired the Legacy Web SDK

The decision to deprecate the legacy SDK was driven by growing limitations in its functionality, performance, and compliance. The key issues included:

  • Limited Customisation: Outdated and inflexible styling and placement options.
  • Performance Challenges: Legacy scripts slowed down page load times and could cause rendering issues.
  • Privacy Compliance Risks: The SDK lacked support for modern GDPR and cookie consent frameworks.
  • Poor Mobile Adaptability: The old integration did not perform well on responsive or mobile-first layouts.
  • End of Support: Klarna will end support for the legacy SDK by the end of 2024.

Merchants continuing to use the outdated SDK may experience broken functionality and face compliance issues, particularly with data protection regulations.

Benefits of the New Klarna On-Site Messaging SDK

Klarna’s updated SDK (version 5 and above) is a complete rebuild, offering improved flexibility, better performance, and full compliance with current privacy standards. Key benefits include:

  • Faster Load Times: Asynchronous loading minimises impact on site performance.
  • Responsive Design: Fully supports mobile and tablet devices with modern layouts.
  • Simplified Integration: Uses declarative HTML attributes such as data-key and data-purchase-amount.
  • GDPR Compatibility: Easily integrates with consent management platforms to respect user privacy preferences.
  • Advanced Reporting: Enables more accurate tracking of impressions and customer engagement.

The new SDK is now the standard across all Klarna On-Site Messaging implementations and is actively supported by Klarna’s technical team.

How Magento Merchants Are Affected

If your Magento store still relies on Klarna’s legacy Web SDK, the following issues may arise:

  • Klarna promotional messages may not render correctly across product, basket, and checkout pages.
  • Without proper consent integration, your site may fall short of GDPR compliance.
  • New Klarna features and updates will not be available without the latest SDK.
  • Existing Klarna Magento modules using the legacy SDK will become obsolete and may stop functioning.

To continue offering a compliant and seamless Klarna experience, Magento stores must update to a supported version of the Klarna module.

How to Migrate to the New Klarna SDK on Magento

Migrating to the latest SDK is a straightforward process when handled correctly. Follow the steps below to ensure a successful transition:

Step 1: Update the Klarna Magento Module

Update to the latest Klarna On-Site Messaging module using Composer:

composer require klarna/module-onsitemessaging
bin/magento setup:upgrade
bin/magento cache:flush

This ensures your store is using the newest version of the Klarna module that supports SDK version 5 and above.

Step 2: Verify Messaging and Cookie Consent Integration

After updating the module:

  • Confirm that Klarna messages appear correctly on all relevant pages.
  • Use the Klarna Merchant Portal to verify tracking and impressions.
  • Ensure cookie consent mechanisms block Klarna scripts until user consent is granted.
  • If you use a custom Magento frontend, your developers may need to adjust templates to accommodate the new markup structure.

Need Help with Klarna SDK Migration?

While the migration process is relatively simple, Magento merchants may require development support to:

  • Update custom templates or themes
  • Configure cookie consent tools for GDPR compliance
  • Validate performance and message rendering across devices
  • Audit existing Klarna integrations for compatibility

The team at KiwiCommerce offers expert assistance with Klarna SDK migrations, GDPR validation, and Magento module updates. We help ensure your store remains compliant, high-performing, and ready for future Klarna enhancements.

Conclusion

Klarna’s retirement of the legacy Web SDK marks an important transition for Magento merchants. Updating to the latest Klarna On-Site Messaging SDK is essential to maintain functionality, compliance, and access to new features.

We strongly recommend upgrading your integration well before the end-of-2024 support deadline to avoid potential disruptions.

If you are unsure whether your Magento store is using the outdated SDK, or need support implementing the new one, contact the KiwiCommerce team for a consultation.

In today’s fast-moving digital world, building applications that are scalable, flexible, and easy to maintain is more important than ever. That’s where Microservices Architecture comes into play — a modern approach to software development that breaks applications into small, independent services.

At Kiw Commerce, we believe in making complex technology accessible. This guide will walk you through the basics of microservices, how they work, real-world examples, common tools, and helpful visual concepts.

What Are Microservices?

Microservices is an architectural style that structures an application as a collection of loosely coupled services. Each service is independently deployable, responsible for a specific function, and communicates with other services via APIs.

Key Difference from Monoliths

  • Monolithic architecture: All features are built into a single codebase.
  • Microservices architecture: Features are broken into separate modules (services), each running independently.

Visual Tip:
Imagine a side-by-side image:

  • Left: One large block labelled “Monolithic App” with modules (User, Product, Cart, Payment) inside.
  • Right: Smaller blocks (e.g., User Service, Product Service) connected via arrows — representing microservices.

 Key Components of Microservices Architecture

  1. Individual Services
    Each microservice handles a single business function — like user authentication or payment processing.
  2. APIs for Communication
    Services talk using REST APIs, gRPC, or message queues.
  3. Independent Databases
    Each service can maintain its own database, improving modularity and fault isolation.
  4. Containerisation
    Tools like Docker and Kubernetes allow developers to deploy and scale services independently.

Visual Tip:
A system diagram with:

  • An API Gateway in the centre.
  • Connected to services (Auth, Cart, Product).
  • Each with its own database.

How Do Microservices Communicate?

Microservices communicate in two main ways:

  • Synchronous: Via HTTP (REST) or gRPC — real-time, direct interaction.
  • Asynchronous: Using message brokers like Kafka or RabbitMQ — useful for event-driven systems.

Visual Tip:

visual tips


Two panels:

  • Left: REST communication between services.
  • Right: Services exchanging messages through a central broker.

 Benefits of Microservices

  • Scalability
    Scale only the parts of your app that need more resources (e.g., payments during sales).
  • Faster Deployments
    Teams can update or deploy services independently without affecting the entire app.
  • Resilience
    If one service fails, the rest continue running smoothly.
  • Tech Flexibility
    Teams can choose different technologies for different services (Node.js for one, Python for another).

Challenges of Microservices

While powerful, microservices come with their own set of challenges:

  • Higher Complexity
    More services mean more dependencies and interactions to manage.
  • Data Consistency
    Managing transactions across multiple services can be tricky.
  • DevOps-Driven
    Requires strong CI/CD pipelines, logging, monitoring, and container orchestration.

Visual Tip:
A circular diagram showing:

  • Develop → Build → Deploy → Monitor → Scale → Repeat
    Each phase showing a different microservice (e.g., Cart, Order, User).

Real-World Examples

Here’s how leading companies use microservices:

  • Netflix: Runs hundreds of services handling everything from video delivery to user preferences.
  • Amazon: Powers services like product search, recommendation engine, and payment processing.
  • Uber: Booking, payments, location tracking — each runs as a separate service.

Common Tools Used in Microservices

  • Docker – Packages each service into a lightweight container.
  • Kubernetes – Automates deployment, scaling, and management of containers.
  • API Gateway – Manages all incoming traffic to your services.
  • Service Mesh (e.g., Istio) – Adds observability, security, and traffic control.

Visual Tip:


A vertical stack:

  • Base: Docker
  • Layer above: Kubernetes
  • Then: API Gateway
  • Top: Monitoring with tools like Prometheus or Grafana

Final Thoughts from Kiw Commerce

Microservices architecture can seem complex at first, but once understood, it offers unbeatable advantages in scalability, agility, and resilience.

At Kiw Commerce, we’re passionate about helping businesses unlock the potential of modern software architecture. Whether you’re starting fresh or looking to transition from a monolith, microservices provide a future-proof solution for growth.

In today’s fast-paced eCommerce environment, customers expect instant and accurate search results. If users can’t find the right product within seconds, they’re likely to leave your site and shop elsewhere.

To address this, Adobe Commerce (Magento 2) offers Live Search powered by Adobe Sensei, an AI-driven tool that significantly improves product discovery and conversion. In this guide, we’ll explain what Adobe Sensei Live Search is, how to set it up, and why it’s a game-changer for Magento store owners.

What Is Adobe Sensei Live Search?

Live Search is an AI-powered search extension available for Adobe Commerce (Magento 2). It uses machine learning through Adobe Sensei to deliver highly relevant search results, even when customer queries are vague or imprecise.

Key benefits include:

  • Real-time search suggestions
  • Personalised product rankings
  • Behaviour-based learning
  • Context-aware results using natural language processing

Please note: Live Search is available only for Adobe Commerce (Magento 2.4.x or later). It is not supported on Magento Open Source.

Why Magento Merchants Should Use Adobe Sensei

AI-powered search helps improve site usability and boosts conversion by enabling:

  • Faster product discovery
  • Higher engagement and time-on-site
  • Reduced bounce rates
  • Improved merchandising through search analytics

By analysing search trends and click behaviour, Adobe Sensei continually refines results — meaning your customers get more relevant product suggestions as the system learns.

Requirements to Get Started

Before installing Live Search, ensure you have the following:

  • Magento 2.4.x or newer
  • Adobe Commerce subscription
  • Admin access to your Magento backend
  • API credentials from Adobe Developer Console

How to Set Up Adobe Sensei Live Search in Magento 2

Step 1: Install the Live Search Module

Run the following Composer command via CLI:

bash

CopyEdit

composer require magento/live-search

bin/magento setup:upgrade

bin/magento cache:flush

Then enable the module and clear the cache.

Step 2: Connect API Credentials

Log into your Magento Admin and navigate to:
Stores > Configuration > Catalog > Live Search

Enter the required Adobe Commerce API keys to connect your store to Adobe Sensei.

Step 3: Configure Search Settings

Once connected, you can tailor your store’s search experience:

  • Define filters (facets) like size, brand, or colour
  • Boost or bury products based on business goals
  • Add synonyms (e.g., “trainers” and “sneakers”) to match regional vocabulary

How Adobe Sensei Enhances Search Using AI

Adobe Sensei uses advanced machine learning models to analyse customer interactions and optimise the search experience in real time. Features include:

  • Predictive search suggestions
  • Natural language understanding (e.g., “waterproof jackets for autumn”)
  • Popularity-based ranking
  • Continuous learning from customer click and search behaviour

These features help users discover products more quickly — even when their queries are incomplete or unclear.

Key Benefits of Using Live Search with Adobe Sensei

Implementing AI-driven Live Search on your Magento 2 store can deliver measurable business improvements:

BenefitImpact
Higher conversion ratesHelps customers find products faster
Enhanced user experienceImproves relevance and engagement
Lower bounce ratesKeeps visitors on-site longer
Actionable insightsLearn what customers search for and optimise stock
Reduced manual effortAutomate merchandising and relevance tuning

Final Thoughts

Upgrading your store’s search capabilities with Adobe Sensei Live Search is one of the most impactful changes you can make to your Magento 2 site. It not only improves the customer journey but also provides deep insights into buyer intent and behaviour.

If you’re already using Adobe Commerce, enabling Live Search is straightforward — and the long-term gains in performance, personalisation, and conversion are well worth the effort.

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

The Smart Way to Grow Your Online Store Organically

In today’s ultra-competitive eCommerce landscape, simply listing your products online isn’t enough. If your products aren’t ranking well on Google, you’re missing out on a huge share of potential traffic — and revenue.

At Kiwi Commerce, we specialise in helping brands grow their online visibility through intelligent, data-led SEO strategies. Whether you’re launching a new store or trying to boost sales for an established catalogue, this guide covers everything you need to know about SEO for eCommerce — and how to get your products ranking higher on Google.

Why SEO Matters in E-Commerce

Paid advertising is powerful — but it’s not sustainable alone. Organic search remains one of the highest-converting traffic channels for eCommerce. A strong SEO foundation ensures your products are discoverable by people who are actively searching for them, with the intent to buy.

Benefits of effective SEO for eCommerce:

  • Increased visibility and consistent traffic
  • Higher quality, purchase-ready visitors
  • Reduced reliance on paid ads
  • Better overall site performance and user experience

1. Start with Keyword Intent, Not Just Volume

It’s tempting to go after high-volume keywords, but for product SEO, intent is more important. Focus on what people are really looking for — and where they are in the buying journey.

Examples:

  • “Black leather Chelsea boots UK” → Transactional, high intent
  • “Best walking shoes for flat feet” → Informational, mid-funnel
  • “Where to buy women’s trail shoes” → Navigational, decision-stage

Top tip: Use tools like Google Search Console, Ahrefs or Ubersuggest to identify long-tail, purchase-driven search terms your audience is actually using.

2. Optimise Product Pages for Search and Conversion

Each product page is a chance to rank and convert. Avoid using boilerplate content or manufacturer descriptions.

Key areas to optimise:

  • Page titles: Include brand, product type, key features (e.g. “Men’s Waterproof Hiking Jacket – Lightweight & Breathable”)
  • Meta descriptions: Sell the value, include a CTA
  • H1 and subheadings: Use clear, keyword-rich headings
  • Alt tags: Describe product images for SEO and accessibility
  • Internal linking: Link to relevant categories, related products, or guides

Don’t forget to write unique product descriptions that highlight benefits, specs, and use cases. Add social proof (e.g. reviews, ratings) and FAQs to increase time on page and trust.

3. Use Structured Data (Schema Markup)

Adding product schema markup helps Google better understand your pages and display rich results, such as prices, availability, and reviews, directly in the search listings.

Benefits:

  • Boosts click-through rates
  • Helps you appear in product carousels
  • Increases visibility on Google Shopping tabs

At Kiwi Commerce, we implement structured data for our clients using best-practice JSON-LD to ensure accuracy and scalability.

4. Category Pages = SEO Goldmines

Category (or collection) pages often drive more traffic than individual products, when optimised well.

What to include:

  • A well-written intro paragraph above the product grid (with relevant keywords)
  • Filters and facets that are crawlable (avoid JavaScript-only filtering)
  • Internal links to top products and related categories
  • Canonical tags to prevent duplicate content issues from sorting/filtering

Bonus tip: Add buyer guides or “best of” lists linked to category pages to build topical authority.

5. Technical SEO: Speed, Mobile, and Indexing

If your site’s slow or difficult to use, it won’t rank — no matter how good your content is.

Core areas to optimise:

  • Page load speed: Compress images, use lazy loading, and leverage CDN
  • Mobile experience: Ensure responsive design and clear CTAs
  • Crawlability: Use clean URLS, avoid duplicate content, and fix broken links
  • Indexing: Submit XML sitemaps and monitor Google Search Console regularly

At Kiwi Commerce, we conduct in-depth technical audits to ensure your eCommerce site is built on solid SEO foundations.


6. Don’t Ignore Blog Content

Blog content may seem secondary in eCommerce, but it’s an SEO powerhouse.

Content ideas:

  • Product comparison posts (e.g. “Leather vs Faux Leather: Which is Best for Winter Boots?”)
  • Style or buying guides (e.g. “How to Choose the Right Gym Trainers for Your Workout”)
  • Answer search queries (e.g. “Are Waterproof Jackets Waterproof?”)

Strategy: Use blogs to internally link to category and product pages. This improves authority, user flow, and indexing.

7. Backlink Building for Online Stores

While backlinks are important for all websites, eCommerce brands need tailored strategies.

Effective link-building tactics:

  • Collaborate with bloggers or influencers for product reviews
  • Publish original data, sustainability efforts, or trend forecasts
  • Reclaim mentions and broken links
  • Get listed in shopping directories or industry roundups

We focus on building natural, brand-relevant links that increase your domain authority without risking penalties.

Final Thoughts from Kiwi Commerce

Ranking your products on Google isn’t about shortcuts — it’s about building a long-term strategy that puts your customers first. That means understanding what they’re searching for, creating content that matches that intent, and giving them a seamless experience from search to checkout.

At Kiwi Commerce, we help ambitious brands turn organic traffic into measurable growth. From technical SEO audits to content strategy and performance monitoring, we’re your partner in scalable eCommerce success.

Want your products to rank higher — and sell more?

Let’s talk.
We’ll show you how to optimise your store for better rankings, more traffic, and higher conversions.
👉 Contact the team at Kiwi Commerce

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