How to grow your ecommerce store on Shopify

Shopify is one of the biggest names in global ecommerce, generating more than $1.6 trillion in sales since it launched in 2006 and currently accounting for more than 14% of the US ecommerce market. 

Shopify provides the essential infrastructure for millions of shops in hundreds of countries—but for many businesses and entrepreneurs, the real question is, “What happens next?”

Growing your ecommerce business isn’t just about getting more traffic to your store. It’s about optimizing the experience after users land, so they explore your site, make a purchase, and come back. 

This requires looking beyond the numbers (like visitor traffic) to understand the behavior behind them—like moments of frustration, looping journeys, or unconvincing product detail pages—and proactively address the pain points preventing users from converting.

In this guide, we share a five-step framework to help you analyze your Shopify store, identify blockers and opportunities, and optimize the digital experience from beginning to end.

Key insights

• Traffic to your store may reveal how well your initial acquisition efforts are working, but if users are met with friction rather than a streamlined, consistent customer experience (CX), that traffic won’t convert—leaving revenue on the table

• AI-powered analytics uncovers patterns, issues, and opportunities that manual reviews would otherwise miss, enabling teams to take immediate, data-driven action instead of spending time analyzing dashboards

• Return visits aren't just as important as first-time journeys—they're often more valuable. Watch what users do after buying and on return visits to find additional opportunities for cross-selling, upselling, and building long-term loyalty

1. Set the foundations for meaningful growth

Real growth shows up in outcomes, not just traffic. Establish your baseline by monitoring ecommerce analytics like:

• Conversion rate: the percentage of visits that end in a purchase

• Revenue per visitor: the average amount of money generated by each person who visits your store

• Average order value (AOV): the average amount of money spent per purchase

• Repeat purchase rate: the percentage of customers who make more than one purchase from your store during a given period

• Customer lifetime value (CLV): the total revenue you expect from a customer over the entire relationship 

These KPIs reflect whether fundamental aspects of your ecommerce offering are working as intended. Ask yourself:

• Is the value proposition clear?

• Is product information accurate and trustworthy?

• Is your store layout easy to navigate?

• Is the brand experience consistent from beginning to end?

These are the elements that build consumer trust, drive repeat purchases, and fuel sustainable growth.

Pro tip: the Contentsquare Shopify Partner App brings Contentsquare behavioral insights to your Shopify store, giving you complete visibility across the customer journey. Get rich experience insights to deeply understand user behavior, contextualize performance beyond quantitative numbers, and make targeted improvements that drive growth. 

2. Understand the complete Shopify user journey

Knowing which user journeys lead to conversions—and which ones don’t—helps you discover what’s working, fix what’s not, and encourage more users to take the most valuable paths.

Analyze user journeys from acquisition to post-purchase to see which behaviors or pages are associated with purchase decisions. Map out your journey as a conversion funnel and pinpoint the stages where users exit. For example, your ideal path might look like:

Landing page → category pages → product detail pages (PDPs) → cart → checkout → thank you page

But how many users actually follow that progression? 

Work backwards from exits to uncover common sources of user friction at each step, such as

• Unclear navigation: menus, filters, or site structure that make it difficult for users to find what they’re looking for

• Poor search results: search results that don’t surface the right pages due to technical issues, mislabelling, or missing content

• Slow pages: long loading times that cause users to exit before engaging with your site

• Broken elements: buttons, links, filters, or embedded content (like videos) that don’t work as expected

• Unexpected costs: shipping costs or taxes that are only revealed at the last minute, raising the overall price and leading to cart abandonment

Once you see where the leaks are in your funnel, you can address them and guide more prospects to conversion.

Pro tip: don’t rely on quantitative metrics alone—combine them with behavioral evidence to understand not just what happened, but why. 

Use Contentsquare’s Journey Analysis to see the paths users take from entry to exit, including journeys that end in conversions or exits. Map your highest-value path as a funnel, and use the Funnel Analysis capability to identify bottlenecks and drop-offs at each step.

Drill in deeper by comparing segments such as:

• New and returning visitors

• Mobile and desktop users

• Users from different traffic sources (like organic search vs. paid ads)

This lets you compare performance across segments to understand how behavior varies by audience, helping you uncover specific issues you might otherwise miss, like bugs that only appear on mobile.

3. Improve product discovery and merchandising

Shoppers can’t buy what they can’t see. A seamless Shopify experience should help them find what they’re looking for quickly, while also maximizing opportunities to surface other relevant products they might be interested in. 

Start by assessing whether your site architecture supports or hinders users’ ability to browse and find what they need:

• Do you have clear category and collection pages that let shoppers quickly jump to what they’re looking for?

• Does your site search return relevant products and potential alternatives, even when queries are vague or misspelled?

• Do you provide filters and sorting to help users narrow their search and prioritize based on their most important criteria (like size and price)?

Once users find a product, what happens next?

• Do they engage with product images and click through photo carousels?

• Do they expand product descriptions to get more information?

• Do they read user reviews?

• Do they explore similar products or ‘Frequently bought with’ suggestions?

Identify low-performing products by comparing exposure metrics (like page views) with engagement and conversion data (like clicks, add-to-carts, and purchases). A lower conversion rate may signal that:

• The product doesn’t match user search intent or align with what they expected from the listing page

• The photos or copy don’t resonate with the target audience

• Users need more information or social proof before they’re ready to buy

Remember: shopping behavior varies by device. The Contentsquare 2026 Digital Experience Benchmarks Report found that the conversion rate on desktop is around 70% higher than on mobile (3.4% vs. 2%). Smaller screens and on-the-go usage may affect how users browse and engage, so segment your analysis by device to get more accurate data and optimize accordingly.

Pro tip: use Contentsquare’s Merchandising capability to quickly identify products and listings that capture attention but fail to convert. Then, make data-driven improvements to product placements, optimize campaigns to increase ROI, and drive more revenue.

Our merchandising team uses Contentsquare to look at the customer’s experience on the site and test, learn, and play around with what could be the optimal model to improve conversion and acquisition.

Matt Spowart

Head of Digital Enablement & Brand Optimization

4. Optimize the path to purchase

Checkout optimization isn’t just about removing steps. It’s also about answering customer questions at the right moment, proactively anticipating their needs, and reducing uncertainty.

Consider the fundamentals of your checkout process:

• Calls to action (CTAs): are CTAs clear, intuitive, and responsive when users engage with them (like a button that changes color to indicate it’s been clicked)?

• Cart design: can users easily check and edit what’s in their cart?

• Guest checkout and express payment options: do shoppers need to create an account before making a purchase?

• Shipping, returns, and delivery information: do users need to search for additional information about shipping costs, delivery timelines, and returns policies, or is it included by default?

• Trust signals: how do you ensure users feel confident sharing their credit card and personal information with your business?

Then, act on what you find to streamline the path to purchase. For example:

• Analyze heatmaps and session replays to see which parts of your checkout flow users interact with and which parts they miss—like product descriptions that shoppers don’t scroll down to or CTA buttons they overlook—and make layout, copy, and process changes to improve the user experience (UX) 

• Use journey analysis and segmentation to discover which behaviors are associated with higher AOV, such as reading reviews or engaging with user-generated content (UGC), then incorporate these elements into your product pages (like adding an aggregated star rating as a trust signal)

• Get ahead of the reasons potential customers exit to reduce checkout abandonment. For example, fix technical issues that erode trust (like broken buttons), remove the need to create an account (like adding a guest checkout to speed up the process), or set clear expectations (like including projected delivery dates).

Pro tip: Shopify Plus merchants can use Contentsquare’s Zoning and Heatmaps to analyze engagement with specific page elements, like product images, reviews, and CTAs, to see exactly how each one performs. Jump into Session Replay to watch exactly what happened and how it impacted the checkout experience—then use these insights to prioritize the most impactful changes.

5. Build a continuous improvement process

Once you’ve established your baseline and know which metrics are associated with growth, use a combination of quantitative and qualitative data to continuously test and improve.

Establish a simple, practical, data-driven strategy:

1. Identify high-impact opportunities using experience data and AI-powered analytics

2. Form a hypothesis (such as, “Including UGC on more product pages will increase conversion rates”)

3. Make the change

4. Test or compare performance, using before and after metrics or A/B testing 

5. Measure the result and roll successful changes out across your Shopify store

For the best outcomes, keep cross-functional teams—like ecommerce, UX, product, marketing, merchandising, and engineering—aligned around the same goals and priorities. Shared dashboards and weekly reports give teams a single source of truth, making it easier to prioritize effectively, allocate resources, and adapt quickly. This is especially important as you prepare your ecommerce store for peak season and other high-traffic periods. 

Pro tip: ask Sense, Contentsquare’s built-in AI, to identify high-impact opportunities and connect them to potential revenue or conversion impact, so you can make data-driven decisions and prioritize what to do next based on estimated uplift, not hunches.

Drive meaningful ecommerce growth

Growth isn’t a one-time goal—it’s a continuous one. Real ecommerce growth happens when businesses analyze user behavior and act on their findings to deliver exceptional customer experiences at every touchpoint.

That’s why making experience intelligence a fundamental part of your ecommerce CRO strategy is one of the most powerful ways to grow your ecommerce business. With concrete, contextualized data, you can make informed decisions about your store’s CX, prioritize changes based on revenue impact, and build the foundation for long-term success.

FAQs about growing your Shopify ecommerce store