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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.

 

At KiwiCommerce, we specialise in helping businesses unlock the full potential of their
online stores through advanced Shopify Development. One of the biggest game-changers
in eCommerce today is headless Shopify, a modern approach that allows businesses to
create lightning-fast, highly customisable, and scalable online stores.

Traditional Shopify themes combine the front-end (what customers see) with the back-end
(where all management happens). While this setup is easy to manage, it limits
customisation, speed, and overall flexibility. Headless Shopify solves this by separating the
front-end from Shopify’s powerful back-end, allowing for greater control over design,
performance, and customer experience.

How Headless Shopify Works
Here’s a simple breakdown of how headless Shopify operates:

  1. Custom Front-End Design: Build your website using modern frameworks like
    React, Next.js, or Vue.js to create interactive and engaging experiences.
  2. API Integration: Your front-end communicates with Shopify’s back-end through
    APIs, managing products, orders, customers, and payments in real time.
  3. Content Management: Use a headless CMS like Contentful or Sanity to manage
    marketing content, blogs, and landing pages.
  4. Omnichannel Experience: The same back-end powers websites, mobile apps, and
    other digital touchpoints seamlessly.
  5. Dynamic Updates: Front-end changes can be implemented without affecting the
    back-end, allowing faster testing and updates for marketing campaigns or seasonal
    promotions.

By decoupling the front-end, headless Shopify allows for complete freedom in creating user
experiences while still leveraging Shopify’s robust commerce engine.

6 Major Benefits of Headless Shopify

  1. Full Customisation
    With headless Shopify, you can design every aspect of your store exactly how you want.
    From dynamic product pages to personalised user journeys, your store can truly reflect your brand.
  2. Lightning-Fast Performance
    Decoupling the front-end ensures your website loads quickly, even during peak traffic. Faster sites improve user experience, reduce bounce rates, and boost SEO performance.
  3. Omnichannel Flexibility
    Headless Shopify allows consistent shopping experiences across websites, mobile apps,marketplaces, and more all while Shopify handles inventory and order management centrally.
  4. Future-Proof Scalability
    Integrate new technologies, platforms, or digital channels without needing a complete
    redesign. Headless Shopify prepares your store for long-term growth.
  5. Advanced Personalisation
    Control your front-end fully to deliver advanced personalisation, including tailored product recommendations, region-specific content, and targeted promotions.
  6. Improved Security and Reliability
    By separating the front-end from the back-end, stores are less vulnerable to front-end issues affecting overall operations. This reduces downtime and ensures a smooth shopping experience for your customers.

Is Headless Shopify Right for Your Business?
Headless commerce requires technical expertise and an upfront investment, but for
businesses seeking highly customisable, scalable, and lightning-fast stores, it’s a
game-changing solution.
At KiwiCommerce, our Shopify development team can help you implement headless
Shopify, creating a store that’s fast, flexible, secure, and fully tailored to your business needs

 

Search Engine Optimisation (SEO) for Magento 2 has evolved significantly in 2025. While traditional elements like metadata, canonical tags, and XML sitemaps are still critical, Google’s increased focus on Core Web Vitals, AI-driven search algorithms, and semantic indexing means merchants need to adapt quickly.

This comprehensive checklist, created for Kiwi Commerce, reflects the most important SEO updates for Magento 2 stores in 2025, covering everything from technical health and structured data to multilingual SEO and content strategy.

1. Core Web Vitals (CWV) – Now Non-Negotiable

Google made CWV a ranking factor in 2021, but in 2025, failing CWV can severely limit your visibility.

  • Largest Contentful Paint (LCP):
    • Target: < 2.5s
    • Fix: Optimise banners, use lazy loading for product images, leverage Fastly CDN.
  • Interaction to Next Paint (INP)(replacing FID in March 2025):
    • Target: < 200ms
    • Fix: Minimise JavaScript execution, delay third-party scripts (chat, reviews).
  • Cumulative Layout Shift (CLS):
    • Target: < 0.1
    • Fix: Reserve space for fonts/images; avoid layout shifts on page load.

✅ Magento Tip: Consider switching to a lightweight frontend such as Hyvä Themes or optimise Luma with bundling, minification, and critical CSS strategies.

2. Canonical Tags & URL Strategy

Duplicate content is a common Magento SEO issue due to layered navigation, category filtering, and pagination.

đź’ˇ Best Practices:

  • Use rel=”canonical” to point to the cleanest product/category URL.
  • Use Magento’s built-in canonical tag options (Stores > Config > Catalog > Search Engine Optimizations).
  • Avoid indexing filter or sort URLs (?dir=asc, ?order=price) via robots.txt or meta robots noindex.

âś… Pro Tip:

Use Google Search Console or Screaming Frog to identify and resolve multiple canonicals pointing to the same content.

3. Structured Data & Rich Snippets (Schema Markup)

Google relies heavily on structured data to understand your Magento site.

Add:

  • Product schema (name, SKU, price, availability, image)
  • Review schema (aggregate ratings)
  • BreadcrumbList schema
  • FAQPage schema (especially for blog/help centre content)

Tools:

  • Magento extensions: Amasty SEO Toolkit, MageWorx SEO Suite
  • JSON-LD generators or custom blocks
  • Test with Google’s Rich Results Test and Schema.org Validator

âś… Bonus: Add schema to your homepage (Organization/Website) to improve brand recognition.

4. Multilingual & Multi-Region SEO

If your Magento store uses multiple domains or store views (.co.uk, .com, .fr), hreflang implementation is critical.

Checklist:

  • Use hreflang tags to signal correct language/region versions (e.g., en-GB, en-US, fr-FR)
  • Always include a x-default value for fallback
  • Ensure URLs are consistent and do not redirect based on IP without user choice (use country selector)

Magento Setup:

  • Use store codes in URLs or different domains per store view.
  • Configure Stores > Configuration > Web > URL Options properly for consistency.

5. Pagination & Infinite Scroll SEO

Magento 2 supports pagination out of the box — but how it’s implemented matters for SEO.

Recommendation:

  • Use rel=”prev” and rel=”next” (deprecated by Google, but still useful for other engines)
  • Ensure paginated pages have self-referencing canonical URLs
  • Avoid blocking pagination with noindex, unless you use infinite scroll with AJAX

âś… If using AJAX loading, consider prerendering or progressive enhancement to ensure crawlers can access content.

6. Semantic SEO & AI Optimisation

Google now understands search intent using AI models like MUM and Gemini.

Content Strategy for 2025:

  • Focus on topical clusters, not single keywords
  • Use semantic variants in product and category descriptions
  • Include FAQs, “Who is this for?”, and “Why buy this?” sections
  • Create helpful blog content that answers real customer questions

đź›  Tools:

  • Use ChatGPT or Claude to expand or reword product copy semantically
  • SurferSEO / NeuronWriter for semantic scoring

7. Indexing, Crawling & Robots.txt

Magento-specific robots.txt tips:

Disallow: /customer/

Disallow: /checkout/

Disallow: /catalogsearch/

Disallow: /*?dir=

Disallow: /*?order=

Disallow: /*?p=

  • Ensure robots.txt is NOT blocking media, JS, or CSS unless needed
  • Submit updated sitemaps in GSC after changes
  • Use meta robots tag for layered/facet URLs instead of global blocking

8. Sitemap Best Practices

Magento auto-generates sitemaps, but many sites forget to optimise them.

Checklist:

  • Enable Product, Category, and CMS Page sitemaps separately
  • Include only indexable pages
  • Set frequency and priority correctly (e.g., homepage: daily, 1.0)
  • Submit to Google Search Console and Bing Webmaster Tools

9. Voice Search & Conversational Content

Voice search is growing, especially on mobile.

Optimise by:

  • Adding FAQs using FAQPage schema
  • Writing in natural language (not robotic keyword stuffing)
  • Structuring answers clearly under subheadings

Examples:

“What is the best tumble dryer under £300?”
“How do I choose the right size TV?”

⚡ 10. Image Optimisation & WebP Support

Fast-loading images are a key part of both SEO and UX.

Magento Tips:

  • Use WebP via image optimisation extensions or server-level conversion
  • Lazy-load non-viewport images
  • Compress using tools like TinyPNG or ImageMagick

Conclusion

Magento 2 SEO in 2025 is no longer about stuffing keywords into product descriptions. It’s about technical excellence, semantic precision, and performance-first experiences. Follow this checklist, created by Kiwi Commerce, to future-proof your SEO and stay ahead of competitors in search rankings.

 

Good product photos are the first thing people notice when they land on your online store.
They can decide in seconds whether to stay and shop or leave.
The problem? Brands need new visuals all the time for websites, ads, emails, and social
posts. Photo shoots take time, cost money, and can’t always keep up.
This is where AI comes in. With the right tools, you can create product images faster, try out
new styles, and keep your content fresh without always running back to the studio.

What AI Can Do
AI tools can help in two main ways:

  1. Train with your product – You upload pictures of your product, and AI learns how it
    looks. After that, you can create endless new images in different settings.
  2. Change backgrounds and settings – Take a plain product shot and place it in a
    lifestyle scene, with realistic lighting and props.
    Both are useful – but AI still struggles with tiny text (like labels) and shiny objects.

One Rule to Remember
AI works best with good photos. If you give it clear, high-quality product images, the results
will look sharp. If not, the output may look off.
So think of AI as a boost, not a full replacement for photography.
Where AI Images Help Most
● Product listings → keep them fresh for seasons or sales
● Social media → endless new content ideas
● Ads → quick variations for campaigns
● Website → update landing pages without re-shoots

How to Make AI Work for Your Product Photos

  1. Start with clear images – High-quality photos give AI the best results.
  2. Play with angles and lighting – More perspectives = more realistic outputs.
  3. Think lifestyle, not just product – Show it in settings your audience relates to.
  4. Mix backgrounds and props – Adds variety without extra shoots.
  5. Check the details – AI can miss text or reflections; always review.
  6. Use AI to boost, not replace – Keep core photos and use AI for fresh variations.

    Final Thoughts
    AI won’t replace traditional photos completely – but it gives brands speed, creativity, and flexibility.
    Use both together and you’ll save time, keep your visuals strong, and stay ahead in the market.
    👉 If you’d like to see how AI product imagery can work for your brand, let’s connect.
    The team at KiwiCommerce is here to help. Let’s connect and bring your ideas to life!

Adobe Optimizer (powered by Adobe Target) enables A/B testing, multivariate
testing, and AI-driven personalisation in Magento 2 (Adobe Commerce). It integrates
seamlessly to deliver targeted content, optimize conversions, and test UX elements
without disrupting core operations.
Key Capabilities
âž” A/B/n Testing: Compare page variants.
âž” Automated Personalisation: AI-driven content targeting.
âž” Visual Experience Composer (VEC): Edit pages visually.
âž” Server-Side Delivery: Reduce client-side flicker.
âž” Magento Data Layer: Leverage cart and checkout data for targeted
advertising.
Prerequisites
Before integrating Adobe Optimizer with Magento 2:

  • Adobe Experience Cloud Setup
    âž” Ensure your organisation has an active Adobe Experience Cloud
    account.
    âž” Access to Adobe Launch (Tag Manager).
    âž” Adobe Optimizer workspace and API credentials.
  • Magento 2 Requirements
    âž” Adobe Commerce (Magento 2.4. x)
    âž” Access to Magento Admin and developer tools (CLI, code access).
    âž” Frontend theme access (for injecting scripts).

Core Architecture
Adobe Optimizer operates through a hybrid architecture combining:
âž” Client-Side (AT.js): For DOM manipulation and quick implementation
âž” Server-Side (Node.js/PHP SDK): For zero-flicker experiences
âž” Edge Network: Global CDN for low-latency decision-making

Architectural Flow

Setup & Configuration
Step 1: Install Adobe Commerce Extension
composer require magento/target-rule
bin/magento module:enable Magento_TargetRule
bin/magento setup:upgrade

Step 2: Configure Credentials
{
“client_code”: “your_adobe_client_code”,
“organization_id”: “IMS_ORG_ID”,
“workspace”: “default”,
“server_side”: true // Enable server-side delivery
}

Step 3: Inject Target SDK in Theme
Edit app/design/frontend///requirejs-config.js:
var config = {
paths: {
‘adobe-target’: ‘https://assets.adobedtm.com/activation’
},
shim: {
‘adobe-target’: { ‘exports’: ‘adobeData’ }
}
};

Creating an A/B Test: Code Example
Scenario: Test two checkout button colours.
Step 1: Define Activities in Adobe Target UI
âž” Create Experience A (Green Button) & Experience B (Blue Button).

Step 2: Add Target Logic in Magento Template
File:
app/design/frontend///Magento_Checkout/templates/cart
.phtml

helper(‘Magento\TargetRule\Helper\Data’)->isEnabled()): ?> Proceed to Checkout

Step 3: Server-Side Rendering (Advanced)
Use Magento’s PagePlugin to inject content:
// Plugin to modify block output
class RenderTargetContent
{
public function afterToHtml(
\Magento\Checkout\Block\Cart $subject,
$result
) {
$targetContent =
$this->targetService->applyContent(‘checkout-btn-test’);
return str_replace(‘btn-default’, $targetContent,
$result);
}
}

Tracking & Metrics
âž” Conversion Goals: Track via Magento events:
âž” View Reports: Real-time analytics in Adobe Target dashboard.
document.querySelector(‘#checkout-button’).addEventListener(‘click
‘, function() {
adobe.target.trackEvent({
mbox: ‘checkout-click’,
conversion: true
});
});

Best Practices
âž” Avoid Flicker: Use server-side delivery or pre-hiding snippets.
âž” Leverage Magento Context: Pass SKU, category, and cart value to Target:
adobe.target.getOffer({
params: {
“cartTotal”: “getCartTotal() ?>”,
“customerGroup”: “getCustomerGroup() ?>”
}
});
âž” Cache Considerations: Exclude personalised blocks from full-page cache.
âž” QA with AT.js Debugger: Use Chrome extension for validation.

Key Performance Indicators

Metric Baseline Target Measurement
Personalization ROI 0.1 5:1 Adobe Analytics
Time-to-Decision 300ms <50ms Chrome DevTools Offer Cache Hit Rate 0% >85% Target Reports
Test Velocity 2/month 10/week Activity Log
Lift Significance N/A >95% Stats Engine

Troubleshooting
âž” Common Error: Offers not rendering?
â—† Verify IMS credentials in Admin.
â—† Check the browser console for adobe.target errors.
âž” Missing Data Layer: Ensure Magento\TargetRule\Block\Data is included
in the layout.

Conclusion
Adobe Optimizer transforms Magento 2 into a testing/personalisation powerhouse.
By combining server-side logic with client-side flexibility, developers can deploy
experiments without compromising performance. Start with simple A/B tests, then
scale to AI-driven personalisation using Magento’s rich e-commerce data layer.

If you’re running a Magento 2 store, you’ve likely heard whispers (or loud shouts) about Hyvä – the new kid on the block that’s shaking up how Magento storefronts are built. But what exactly is Hyvä? And is it the right fit for your business?

In this blog, we’ll break down what Hyvä is, how it compares to other Magento frontends, and whether it’s worth the investment in 2025.

🤔 What is Hyvä?

Hyvä is a modern frontend theme for Magento 2. It’s fast, lightweight, and developer-friendly, built with simplicity and performance in mind. It replaces the bloated and ageing Luma theme, giving your store a much-needed speed boost and cleaner codebase.

🧱 How is Hyvä Different from Luma or PWA?

Feature Luma (default) Hyvä PWA
Speed Slow Very fast Fast (with good setup)
Complexity High Simple Very high
Developer Cost Moderate Lower long-term High
Time to Launch Medium Fast Long
Best For Small stores or legacy Most B2C/B2B stores Large, mobile-first apps

🚀 Why Store Owners Love Hyvä

  • Page speed scores skyrocket – reducing bounce rate and improving SEO
  • Lower development costs – fewer bugs, easier to maintain
  • Faster go-live – get your redesign launched quicker
  • Great UX – clean design, easier to customise
  • Growing community – 1,500+ stores and counting

🛑 When Hyvä May Not Be the Right Fit

  • You want a headless or app-like experience (then PWA might be better)
  • You rely heavily on third-party extensions that don’t support Hyvä yet
  • You’re using Magento Open Source with outdated infrastructure

💸 Is Hyvä Worth the Investment?

In short: Yes – for most Magento 2 stores.

If you want a faster store, happier customers, better SEO, and lower dev headaches, Hyvä is likely a smart long-term investment. It’s especially appealing to mid-sized merchants who want the benefits of modern tech without the cost of full PWA builds.

đź§  Final Thoughts

Hyvä is not just a theme it’s a shift in how Magento storefronts are built. While it’s not perfect for every store, it hits the sweet spot between performance and simplicity for most merchants in 2025.

Thinking of upgrading your Magento 2 frontend? Hyvä might be the breath of fresh air your store needs.

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.

 

The digital commerce industry has grown at an unprecedented pace over the past decade, and in 2025, it shows no signs of slowing down. As businesses race to capture attention in a crowded online marketplace, one factor has proven to be a true game-changer: UI (User Interface) and UX (User Experience) design. No matter how great a product or service may be, if customers find it difficult to navigate the website, feel frustrated during checkout, or do not enjoy the shopping experience, they are likely to abandon their cart.

The Evolution of UI/UX in E-Commerce

A decade ago, UI/UX Design was often seen as a secondary aspect of e-commerce development. Businesses focused more on product quality, pricing, and advertising campaigns, often neglecting the user journey on their digital platforms. Fast forward to 2025, and the situation has completely changed. With growing competition and higher customer expectations, UI/UX has emerged as the differentiator that determines whether a visitor becomes a paying customer—or leaves for a competitor’s site.

Why UI/UX Matters More Than Ever

The average customer today has endless choices at their fingertips. A single frustrating moment—whether it’s a confusing menu, hidden product information, or a complex checkout process—can result in immediate cart abandonment.

UI: Creating the First Impression

User Interface design is all about how your platform looks and feels. It includes visual elements such as colors, typography, images, and layout. A clean and modern UI can communicate professionalism and credibility, while a cluttered or outdated design can drive users away instantly.

UX: Ensuring a Smooth Journey

While UI makes the platform look appealing, UX ensures that it functions effortlessly. UX involves understanding the customer’s behavior, needs, and emotions while interacting with the platform. From intuitive navigation to simplified checkout processes, good UX design minimizes friction and maximizes satisfaction.

Key Trends Shaping UI/UX in 2025

  • Personalization at Scale – AI and machine learning enable tailored experiences for each customer.
  • Voice & Gesture Navigation – Smart devices now allow voice commands and gesture-based shopping.
  • Augmented & Virtual Reality – Virtual try-ons and 3D product models improve purchase confidence.
  • Mobile-First and Minimalist Design – Clean layouts ensure smooth mobile shopping experiences.
  • Seamless Checkout Processes – One-click checkouts and multiple payment options reduce cart abandonment.
  • Dark Mode & Accessibility Features – Inclusive design expands reach to diverse customer groups.

Business Impact of Good UI/UX

  • Increased Conversions – Smooth user journeys boost sales.
  • Lower Bounce Rates – Engaging interfaces keep visitors longer.
  • Improved Customer Loyalty – Great experiences lead to repeat purchases.
  • Stronger Brand Perception – A professional design builds trust.
  • Word-of-Mouth Marketing – Happy customers recommend brands to others.

Case Studies: Brands Winning with UI/UX in 2025

  • Amazon – Predictive analytics and seamless checkout remain industry benchmarks.
  • Nike – AR try-on features and customization keep users engaged.
  • Small Businesses – Leveraging Shopify and Magento with custom UI/UX boosts growth.

Challenges in UI/UX for E-Commerce

Despite the benefits, designing effective UI/UX comes with challenges. Balancing aesthetics with functionality, catering to diverse customer preferences, and keeping up with rapidly evolving technology can be daunting. Moreover, businesses must address issues of security, data privacy, and inclusivity while still delivering seamless experiences.

Future of UI/UX in E-Commerce

Looking ahead, UI/UX will only grow in importance. Emerging technologies like AI-powered design tools, biometric authentication, and hyper-personalized shopping assistants will redefine the customer journey. The future lies in adaptive ecosystems that respond to user needs in real-time.

Conclusion

In 2025, the success of an e-commerce business is inseparable from the quality of its UI and UX. Together, they form the backbone of customer interaction, shaping how people perceive, engage with, and ultimately purchase from online stores. Companies that invest in user-centered design are not just enhancing their websites; they are building long-term trust, loyalty, and profitability.

At Kiwicommerce, we specialise in creating seamless, conversion-driven UI/UX experiences that help e-commerce brands thrive in the competitive digital marketplace. Ready to elevate your shop’s design and performance? Get in touch with us today and start your journey towards smarter, more profitable e-commerce.

 

In today’s fast-paced digital world, applications need to process massive amounts of data, handle millions
of requests, and scale seamlessly. One of the unsung heroes that makes this possible is the Message
Queue (MQ).

At Kiwicommerce, our Magento development services integrate seamlessly with MQ technology, helping eCommerce stores manage large order volumes, synchronize inventory in real time, and deliver a smooth shopping experience even during peak traffic.

What is a Message Queue?
A message queue is a communication method that allows different parts of a system (or even different
applications) to talk to each other asynchronously. Instead of sending requests directly, one system puts a
“message” into a queue, and another system picks it up whenever it’s ready.

Think of it as a post office:
You drop a letter (message) in the mailbox (queue).
The recipient (consumer) collects it when they’re ready.
This way, you don’t have to wait until they’re free you just trust the mailbox to hold it safely.

Why Use a Message Queue?
✅ Asynchronous Processing – Tasks don’t have to finish instantly. ✅ Decoupling – Producers and consumers are independent. ✅ Scalability – Add more consumers to handle high traffic.
✅ Reliability – Messages aren’t lost if a system crashes.

How Does a Message Queue Work?

  1. Producer – sends a message to the queue.
  2. Queue – stores the message temporarily.
  3. Consumer – retrieves and processes the message.

Popular Message Queue Systems
RabbitMQ – widely used, feature-rich, and open-source.
Apache Kafka – designed for high-throughput event streaming.
Amazon SQS – fully managed queueing service on AWS.
Azure Service Bus – Microsoft’s enterprise-grade queueing system.

Real-World Use Cases
E-commerce: Handling orders and inventory updates.
Banking: Processing transactions securely.
Social Media: Delivering notifications and messages.
IoT: Managing millions of sensor readings from devices.

Technical Examples
🔹 Example 2: Kafka with Node.js
Producer (producer.js):
const { Kafka } = require(“kafkajs”);
const kafka = new Kafka({
clientId: “my-app”,
brokers: [“localhost:9092”],
});
const producer = kafka.producer();
const run = async () => {
await producer.connect();
await producer.send({
topic: “test-topic”,
messages: [{ value: “Hello Kafka!” }],
});
console.log(“âś… Message sent to Kafka”);
await producer.disconnect();
};
run().catch(console.error);
Consumer (consumer.js):
const { Kafka } = require(“kafkajs”);
const kafka = new Kafka({
clientId: “my-app”,
brokers: [“localhost:9092”],
});
const consumer = kafka.consumer({ groupId: “test-group” });
const run = async () => {
await consumer.connect();
await consumer.subscribe({ topic: “test-topic”, fromBeginning: true });
await consumer.run({
eachMessage: async ({ topic, partition, message }) => {
console.log(đź“© Received: ${message.value.toString()});
},
});
};
run().catch(console.error);

Final Thoughts
Message queues are a crucial part of modern software architecture, especially in systems that need to
handle large amounts of data, high traffic, or multiple services working together.

Whether you’re building a simple app with RabbitMQ or managing real-time event streams with
Kafka, message queues help you create systems that are scalable, reliable, and efficient.

Discover how Kiwicommerce can help scale your business connect with us.

Hyvä UI 2.5 has transformed the way Kiwicommerce moves from design to development. By using its ready-made components, we’re able to design and launch Magento stores faster, with fewer revisions and a smoother process overall.

Who Is This Blog For?

This blog is for both designers and eCommerce managers. Here’s how Hyvä 2.5 makes life easier:

  • For Designers: Hyvä’s Figma UI bridges the gap between design and development. Designers can see what’s included in the theme, identify areas for customisation, and apply brand styling quickly. This means faster prototypes, smoother approvals, and an easier handover to developers.
  • For eCommerce Managers: With Hyvä adding more built-in features, projects move faster and need less basic setup. This saves time and cost, helps stores launch quicker, and makes them easier to maintain in the long run.

Why Hyvä Matters

Magento 2 is a powerful eCommerce platform, but its default theme, Luma, has always been slow and rigid. It often needed extra work just to get the basics right.

Hyvä is different. It’s not just another theme; it is a complete turnaround of how Magento storefronts are designed and built. By combining Tailwind CSS with pre-built components, Hyvä speeds up both design and development while cutting down on unnecessary fixes and tweaks.

What’s New in Hyvä 2.5

The latest version introduces a range of updates to make storefront design faster and more flexible.

New components include:

  • Sticky Add-to-Cart button
  • Mobile Menu A & B
  • Breadcrumbs A
  • Pagination A
  • Scroll to Top
  • Search Form A (now supporting SmileElasticsuit)

It also adds more mobile-first elements (XS size: 376px), so designs are responsive across all screen sizes from small mobiles to large desktops.

Smarter Mobile Menus

Navigation is key to any online store. Hyvä 2.5 now includes two built-in mobile menu options:

  • Mobile Menu A (Scroll Menu): All items in one scrollable list, with an optional search bar and sticky button for quick actions like Cart or Contact.
  • Mobile Menu B (Tab Menu): Divides content into three tabs, ideal for complex categories or brands with storytelling content. It also includes a search bar and a sticky button.

Both options make it simple to set up user-friendly navigation without heavy customisation.

Figma Companions – A Useful New Resource

Hyvä has also introduced Figma Companions extra design tools to make life easier for designers.

The first release is Hyvä Payment Methods, which includes 120+ card logos in five styles (light, dark, clean, outline, and mono). This saves time on repetitive design tasks and ensures consistency across the site.

Why Magento’s Default UI Holds Stores Back

The old Luma theme created many challenges:

  • Rigid layouts for product and category pages
  • Inconsistent typography and spacing
  • Cluttered checkout and account pages
  • Slower performance due to heavy code

Hyvä solves these problems with a modern, flexible, and performance-focused design system allowing teams to spend more time on brand and UX improvements instead of patching outdated layouts.

Easier Client Sign-Off with Hyvä UI in Figma

One of the biggest benefits of Hyvä’s Figma UI Kit is how it improves the client approval process:

  • Pre-Built Components: Clients can see what’s available and decide if styling alone is enough or if custom designs are needed.
  • Live Collaboration: Feedback can be added directly in Figma for quicker iterations.
  • Shareable Prototypes: Easy to share with wider teams and stakeholders.
  • Interactive Previews: Clients can test how the store will work before development begins.
  • Smooth Developer Handoff: Clear notes and annotations reduce confusion and speed up development.

This gives designers a solid foundation and ensures projects move forward without delays.

Faster, Smoother Magento UX

In eCommerce, speed is critical. A delay of just one second can reduce conversions by up to 7-8%. Hyvä addresses this by:

  • Delivering faster page loads
  • Using lightweight, efficient UI components
  • Loading only the scripts and styles required
  • Reducing reliance on heavy JavaScript

The result? A lean, high-performance storefront that customers enjoy using.

The Future of Magento UX

Hyvä UI 2.5 makes Magento stores faster, more flexible, and easier to manage. It fixes many of the issues with Luma, reduces time spent on basic setup, and allows teams to focus on delivering a high-quality user experience.

This is just the beginning Hyvä is continuing to evolve, adding new features and improvements that make it a serious competitor to Shopify while keeping the flexibility that Magento is known for.

We’re excited to see what comes next and look forward to sharing our upcoming projects in the luxury D2C space that showcase the full potential of Hyvä.

Looking for expert help with your Hyvä design and build? Get in touch with Kiwicommerce today.

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

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 Hyvä 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.

 

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