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Which apps do the fastest-growing Shopify stores use?
Are you looking for the best tools to scale your e-commerce business? Today, we’re giving you a behind-the-scenes look at our agency’s work and recommending the top apps for tackling the key pillars of e-commerce business growth.
Technology, data and customer loyalty are the areas that a successful e-commerce business in 2026 should focus on in order to continue growing. Here are our recommendations for tried-and-tested tools!
The same question keeps coming up in client conversations: what should we invest in so we're not regretting it in two or three years? Our answer is always the same: technology, data, and brand. This article puts that answer into a concrete framework – with the specific tools we recommend to Shopify clients in each area. It's not a playbook for everyone: the right stack always depends on scale, industry, and stage of growth. But it is the list we typically start the conversation with.
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Before the tools, it's worth explaining why this particular list exists. These seven apps weren't chosen from a ranking. They were chosen because they map to three areas we believe are worth investing in.
Technology either slows you down or gets out of your way. Shopify as a foundation gives a real advantage here – the platform shows up in new sales channels before most merchants are thinking about them: Facebook, TikTok, Roblox, now Agentic Commerce. The tools we add on top should have the same mindset.
Data – two kinds. Product data: an organised layer that lets you move quickly into new sales channels. Sales and marketing data: data you can trust and make decisions from, rather than just going on gut instinct.
Brand is no longer a nice-to-have. Merchants selling other brands' products are watching margins shrink and Chinese competition arrive. The only argument left is price – unless you have a brand. In the context of Agentic Commerce, this matters more than ever: the difference between a customer typing "best air fryer under £50" into Gemini and one typing "best Philips air fryer" is the difference between commoditisation and loyalty.
Base is a multichannel sales management platform. Clients often treat it as their primary daily dashboard – not the Shopify store itself. Order fulfilment, returns processing, courier connections, financial and accounting tool integrations, and inventory synchronisation across all sales channels all run through Base.
For Polish merchants on Shopify, it was a must-have for years for a simple reason: when Shopify had gaps in the Polish market, Base already had the integrations. Today, as TikTok Shop launches in Poland, Base is ready.
The tool is also moving into PIM and RPA territory. If you sell on any marketplace – Allegro, Amazon, or others – Base is non-negotiable.
Plytix is a SaaS PIM: manage product information from one place, in a browser, without a months-long implementation. This is a fundamentally different approach from classic enterprise PIM software, where the implementation itself is a major investment before you see any value.
With Plytix, you connect it, configure it, and start using it. The tool includes AI for generating product descriptions and images, and integrates with the channels you want to feed with data. The support team is genuinely client-focused – which is not a given in this software category.
Why a PIM at all: for brands entering new sales channels (marketplaces, new markets, Agentic Commerce), an organised product data layer is a prerequisite for scaling without friction.
The most common data problem in e-commerce: everyone collects it, few people trust it. Comparing Shopify data against GA4 typically reveals 5–20% gaps in sessions, orders, and channel attribution. That's not an analytics problem – it's a decision-making problem.
Littledata collects data server-side and client-side simultaneously, giving accuracy close to 100%. But that's just the start: more accurate data flows into Meta and Google ad engines, which can then match audiences better. The algorithm learns from better data – the result is better campaign performance, not just better reporting.
Littledata includes a built-in AI monitor showing effectiveness and the revenue lift from improved audience matching. The entry threshold is lower than Triple Whale or Polar Analytics, which makes it the right first step for stores in earlier stages of scaling.
Brand is not a logo – it's what a customer feels and what makes them come back. Love Loyalty is a customer loyalty app with one specific insight that sets it apart: loyalty points shown where they actually influence a purchase decision – on the product page, in the cart, on the customer account. A customer browsing a product sees immediately how many points they can apply and how much they can reduce the price.
That sounds obvious, but a surprising number of larger loyalty apps don't do it. Beyond points: memberships, tiers, discount thresholds, POS integration, B2B loyalty.
Product reviews are social proof at the very start of the purchase journey – particularly important for brands a new customer doesn't yet know. Judge.me collects reviews from customers and displays them on product pages. Customers write detailed reviews describing their experience, not just star ratings.
Judge.me is built natively for Shopify, which means better integration than tools coming from outside the ecosystem. It supports Shopify Markets – if you run a store across multiple countries and languages, review management works consistently.
An additional dimension: detailed customer reviews describing specific use cases are exactly the kind of content LLMs cite as authentic user sentiment.
Gorgias started as a helpdesk: consolidating customer communications from all channels (store, Facebook, WhatsApp, email) into a single view with full context – order history, cart contents, previous returns, loyalty tier.
Today Gorgias has moved into conversational commerce: it adds an AI sales assistant trained on store data. For a fashion brand, if it sees a product in the cart, it can suggest completing the look. It also works from images.
A critical feature: real-time notifications to human agents when a customer needs to be handed over. A customer who feels they're talking to a bot when their situation needs a human is one of the fastest ways to lose that customer. Gorgias handles the handover in real time.
Klaviyo doesn't fit neatly into any one of the three pillars – it works across all of them. It's the marketing automation tool that won its category for one reason: it has the same mindset as Shopify and Base – it shows up where customers are before that becomes obvious. Email, SMS, WhatsApp, push notifications, reviews, CRM.
Deep Shopify integration means running separate campaigns for different markets from one place. That's rare in this category. Klaviyo also integrates with the full stack described here: Littledata, Love Loyalty, Gorgias – the tools know about each other.
Clients we work with typically reach 30% revenue attribution to Klaviyo. We have clients at 40, 50, 60%.
No. The right tools depend on scale, industry, and stage of growth. A small store without marketplace sales doesn't need Base. A brand without a loyalty programme doesn't start with Love Loyalty. This list is a starting point for a conversation – not a universal prescription.
All three address the e-commerce data accuracy problem. Triple Whale and Polar Analytics are more comprehensive analytics platforms with a higher entry threshold – both in price and implementation complexity. Littledata focuses primarily on data accuracy and its distribution to advertising platforms. For stores in earlier scaling stages, it's usually the better first decision.
Base is moving into PIM territory, but its core function is order and channel management. Plytix is a dedicated product information management tool – deeper data enrichment capabilities, AI for descriptions, simultaneous distribution to multiple channels. For brands with large or complex product catalogues, it's a separate layer that earns its place.
In home and decor, the most relevant tools are: Judge.me (reviews describing how products are used in context), Gorgias (customer service for products that require buying guidance), Klaviyo (segmentation and retention campaigns for high-AOV customers), and Plytix (product data management for large catalogues with many variants).