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19 Must-Track Ecommerce Search Metrics & 10 Best Analytics Tools

Discover essential ecommerce search metrics to track and 10 top analytics tools to boost your online store's performance.

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19 Must-Track Ecommerce Search Metrics & 10 Best Analytics Tools
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You’ve set up your online store and loaded it with products. Maybe you’ve even gotten some traffic from social media or a little SEO. But when you look at your sales reports, you’re disappointed to see just a few conversions. What’s going wrong? Often, the culprit is a poor onsite search experience. Sure, you can create a great ecommerce search experience with a solid plan, but it’s even better to identify specific areas for improvement using ecommerce search metrics. Ecommerce search metrics, also called "search analytics," are the stats that tell you how well your site’s search function performs. By monitoring these numbers, you can uncover actionable insights to optimize your ecommerce search performance, increase conversions, and enhance the overall customer experience, leading to higher sales and growth.
One tool that can help you get started is Shopify's sales tracker from ShopHunter. This handy tool for tiktok ecommerce strategy gives you access to crucial data that will help you optimize your store’s search capabilities for a better bottom line.

What are Ecommerce Search Metrics?

Ecommerce Search Metrics
Ecommerce Search Metrics
Ecommerce search metrics measure how well your website’s search function performs. They help you understand how users interact with your search bar, providing insight into their preferences and behavior. The more relevant information you extract from ecommerce search metrics, the better you can optimize your website to improve user experience and increase sales.

Why are Ecommerce Search Metrics Important?

Ecommerce search metrics focus on user:
  • Behavior
  • Performance
  • Outcomes
They provide measurable data points about how users interact with the search functionality on your ecommerce site.
Analytics reveal the number of search queries performed, the time users spent on each search, and the number of searches that resulted in a purchase. By closely tracking these metrics, you can improve users’ search experience, drive more sales, and turn potential customers into happy ones.

40+ Stats on Ecommerce Search and KPIs

1. Ecommerce search is the gateway to your online store. More than 4.5 billion global internet users search for anything and everything online, and 87 percent of shoppers begin their product searches online.
2. Shoppers use search to address the “I-want-to-buy moment.” 64% of people use search to address the “I-want-to-buy moment.”
3. Users on retail websites go straight to the search bar. 43% of users on retail websites go directly to the search bar.
4. Ecommerce searchers are more likely to convert. Consumers who use search are 2.4 times more likely to buy. Searchers also drive more revenue, spending 2.6x more on mobile and desktop than those who don’t use search.
5. Users search for non-product content. 34% of users tried to search for non-product content.
6. A significant number of ecommerce visitors use internal site searches. Up to 30% of e-commerce visitors use internal site search, and we’ve all seen this: site searchers are 2-3x more likely to convert.
7. Relevant search results influence buyers. A relevant search influences 39% of purchasers.
8. Users bounce to competitor sites after an unsatisfactory search. 12% of users will bounce to a competitor’s site after an unsatisfactory search.
9. Churn resulting from poor search experience is unacceptably high. According to Forrester, the frustration involved in the overall product search experience results in an unacceptable level of churn and burn, to 68%.
10. Users refine searches for better results. Twenty percent of people who used the search went on to refine their searches (submit another search), and 21 percent exited the website from the search results.
11. Most sites need to improve their search performance. 61% of all sites perform below an acceptable search performance misaligned with the user’s actual search behavior and expectations (and 15% have a “broken” search query type performance).
12. Many ecommerce sites need to meet search expectations. 72% of sites completely fail site search expectations.
13. We need better ecommerce search engines. We need better e-commerce search engines.
14. When done right, site search can raise conversion rates. Conversion rates nearly doubled for people who searched on-site and found what they sought.
15. Ecommerce site search conversion rates can be up to 50% higher than average. Conversion rates through site search can be up to 50% higher than the average.
16. Advanced search capabilities double desktop conversion rates. Desktop conversion rates are 2x higher for retailers with advanced search capabilities than those with basic search capabilities.
17. Case studies show increased site search conversion rates of 43%. Case studies have shown increased conversion rates of 43% from site search optimization.
18. Search visitors convert at much higher rates than average site visitors. [Search] visitors converted at 4.63% versus the websites’ average of 2.77%, 1.8 times more effective.
19. Ecommerce search boosts revenue for a significant number of retailers. 50% of retailers said they saw an increase in revenue due to site search technology. (that was dramatically higher at 93% for companies with advanced site searches).
20. Autocomplete boosts ecommerce sales. Autocomplete can boost sales and conversions by as much as 24%.
21. Search can account for a significant percentage of ecommerce revenue. On some sites, searchers account for roughly 40% of total revenue.
22. Ecommerce search KPIs inform business strategy. 53% of retailers with advanced search capabilities have defined KPIs for site search, compared to only 13% of those with basic site search.
23. Site search KPIs can help identify revenue opportunities. In 2018, the KPIs most impacted by site search were revenue per visit (52.4%), time on site after search (51.5%), and highest bounce searches (39.8%).
24. The most common site search KPIs in 2020. The most common site search KPIs in 2020 are conversion rate from search, click-through rate from search terms, and eliminating searches that return zero results.
25. Marketing, product, and omnichannel teams should track e-commerce search KPIs. The top three functions that own site search marketing products and omnichannel should be noted. 60% of advanced search companies use these functions and tools to manage and optimize site searches without IT.
26. Personalization improves ecommerce search. 59% of online shoppers believe finding more interesting products in personalized retail stores is easier.
27. Personalized ecommerce search boosts revenue. When personalization and proprietary customer data are integrated, revenue increases by 6% to 10%.
28. Consumers prefer personalized shopping experiences. 48% of consumers spend more when their experience is personalized.
29. Customers value tailored engagement in ecommerce. 59% of customers say tailored engagement based on past interactions is critical to winning their business.
30. Personalization is a key feature of effective site search. Personalization, relevance, and filtering/faceting were the top three site search features with the biggest business benefits.
31. Ecommerce search can help build customer loyalty. 51% of consumers say they are more likely to purchase a brand if the content is personalized.
32. Mobile e-commerce search trends. In “I-want-to-buy” moments, mobile is the most used device, at 65%.
33. Mobile ecommerce apps vastly outperform mobile websites. Mobile app shoppers spend 20x more time shopping than website users.
34. Mobile users abandon sites that load too slowly. 53% of mobile users leave a website that takes longer than three seconds to load.
35. Better UX improves mobile sales. For Cdiscount, better UX increased mobile sales contribution by 50%.
36. Ecommerce search voice trends. 52% of voice-assistant users say they use voice tech several times or nearly daily, compared to 46% before the COVID outbreak.
37. Voice is becoming more common in ecommerce. Roughly 36% of consumers have smart speakers.
38. Companies are investing in voice search. 91% of companies are making significant investments in voice.
39. Voice search is delivering measurable results. 76% of surveyed companies reported achieving measurable benefits from voice and chat initiatives.
40. Voice is popular with millennials. 40% of millennials research products through voice before purchasing.
  • Ecommerce Marketing Budget
  • Ecommerce Marketing Ideas

Why are Ecommerce Metrics & KPIs Important?

Ecommerce Search Metrics
Ecommerce Search Metrics
Your ecommerce performance metrics are essential to understanding overall growth and performance. And this takes more than just looking at how many sales you make daily. You also need to look at trends and if the number is increasing. You can gauge whether your business is growing by looking at metrics like sales over time, total sales, store visits, and more. If it is, keep doing what you’re doing.
But if not, this indicates that you might need to adjust your e-commerce marketing strategy, ensure that your checkout process is user-friendly, or update the design of your e-commerce site to improve the user experience. Tracking your online store’s performance is key to understanding if something in your marketing or sales strategy simply isn’t working, allowing you to adjust and adapt for the future.
You also want to pay attention to shopping trends. When you pay attention to your metrics and which products people buy, you can simultaneously improve your overall sales forecasting. Look at popular products, find out what you need to create or order more of, and get a good idea of buying trends.
You’ll be able to figure out which months or seasons are slower than others, giving you more time to prepare sales promotions and campaigns for your slower seasons. You can also better gauge your business’s overall revenue and what to expect in upcoming months, so you’re more secure in ordering inventory or making new hires in your business.

Understand Website Engagement: Know Your Ecommerce Customers

Your ecommerce analytics can help you:
  • Understand how people interact with your online store.
  • How often are customers converting?
  • Which product pages are the most popular (and is that in line with products purchased)?
  • How much overall website traffic are you seeing?
  • Paying attention to your Shopify and Google analytics for ecommerce can also help you determine how people tend to navigate your site.
This can help you determine whether your navigation and website flow make sense or need to be changed to ensure a more seamless process.

19 Key Ecommerce Search Metrics To Track In 2024

Ecommerce Search Metrics
Ecommerce Search Metrics

1. Search Exit Rate: Understanding Buyer Behavior

Exit rate refers to the percentage of visitors who leave the page after completing a search. For example, a user might search for a T-shirt and review some of your offers. However, none of them would satisfy the user, so the user would leave your website to browse elsewhere.
It can give you insight into how relevant your e-commerce website content is to what people are searching for. A high search exit rate could indicate that people aren’t finding your helpful content, so they leave. It could lead to less traffic and conversion on your site. If your search exit rate is low, they find what they seek.
How do you calculate the search exit rate? Number of exits ÷ the number of pageviews = exit rates x 100%

2. “No Result” Rates: Why Customers Leave Your Site

“No results” or “Results not found” occur when the internal site search engines cannot find any content for which a user is searching. However, you’ll rarely see “no results” on Google, Bing, or Yahoo, but it happens during an internet search on an e-commerce website.
Very often, content or products a user searches for do exist. So why are there no results? There are many possible reasons for that:
  • Site search is not well-optimized to find the products or services
  • There is a mistake in a search query
  • A search tool does not provide an autocorrection feature
Unfortunately, after “no results,” a visitor will likely leave your website and browse for products elsewhere. That’s why it is important to monitor if such results happen. If yes, react to prevent such situations, for example, by implementing a search tool with an autocomplete and query suggestion.

3. Conversion Rates: Measuring Success

Conversion doesn’t necessarily mean buying a product in your online store. It can be, and it’s an excellent example of conversion, but it can also be:
  • signing up to a newsletter
  • making an account
  • clicking the ad
  • and all the actions that you consider valuable for your business.
Make sure to distinguish a purchase rate from a conversion rate because they can be different measurements. The higher the conversion rates, the better. This means that your content or marketing efforts are successful, and customer satisfaction may also be high.
For example, if you’ve created a newsletter and 120 people signed up for it after a month, you may think that’s a good number. However, when you see the bigger picture, meaning you see how many people saw your CTA sign up, and it was about 120,000, it means that’s only 1%. So, in that case, it’s essential to take a step back and check where I fell short.
How do you calculate conversion rates? The number of people who converted ÷ the total number of website visitors = conversion rate x 100%

4. Bounce Rates: Understanding Buyer Behavior

Some people confuse bounce rates with search exit rates. This measures how many visitors leave your website when they enter it. This means they bounce from your website because they, for instance, misclick and want to return to the Google search results.
For example, a visitor clicked on a website but immediately realized it was not the website they were looking for, so they left. They didn’t visit your other sites of yours. They didn’t browse further. And that’s the main difference. Visitors leave the same site they entered – they had a single-page session on your website.
How do you calculate the bounce rates? The number of single-page sessions ÷ number of total sessions on your website = bounce rates x 100%

5. Click-Through Rates (CTR): Analyzing Search Performance

CTR is the ratio of users who click on a specific link or CTA to the number of total users who view a particular page. This metric is essential to determining the effectiveness of your marketing efforts (like a Google Ads campaign, the traffic source is important here) in getting people to take action. For example, a user wants to buy shoes suitable for mountain running. Their search query is “mountain running shoes,” so a user can click on an ad (not an organic search) with the meta description that says they can find that specific footwear there.
If you have a low CTR, people lack interest in your offering or don’t understand my CTA (call to action phrase, for example: sign up for a free trial). To improve your results, you need to determine why this is happening so you can make changes to fix the results.
How do you calculate click-through rates? The number of clicks your ad got ÷ number of times your ad was shown = CTR x 100%

6. Average Order Value (AOV): Understanding Shopping Behavior

AOV is a metric that measures the average amount of money spent per transaction. Tracking AOV may help you make critical business decisions like ad spending, store design, or price points. For example, a lower AOV usually means customers prefer to make small purchases whenever they order.
To increase AOV, you must encourage customers to buy more products than they intended or convince them to buy more expensive goods. An excellent way to do this is to look for a tool that would allow you to show your visitors recommendations that they may find helpful: related items, similar products to those they have been searching for, but with more features. Alternatively, offer free shipping with a higher minimum purchase.
How to calculate AOV? Total revenue ÷ number of orders = average order value x 100%

7. Customer Retention Rate: Analyzing Loyalty

A company’s customer retention rate is the number of customers who continue to do business with you for a certain period. It is an essential metric for businesses because it gives insights into customers' satisfaction with your products or hits if it’s time to improve customer experience. It can help identify areas that need improvement to keep customers coming back.
When customer retention is high, it means that customers value your products or services and are a sustainable source of revenue. An example of customer retention is a subscription-based streaming service like Netflix. They offer personalized content recommendations based on a user’s viewing history. By suggesting shows and movies that align with a customer’s preferences, Netflix enhances the user’s experience, making them more likely to continue their subscription rather than switch to a competitor. This personalization fosters loyalty, keeping customers engaged and subscribed over time, leading to an astounding retention rate of 72% over six months.
How to calculate the customer retention rate? The number of conversions ÷ total number of interactions that you can track to a conversion during the same time = retention rate x 100%

8. Shopping Cart Abandonment Rate: Diagnosing Checkout Issues

Cart abandonment is when a customer adds items to the cart and starts a checkout process but then gives up and leaves the transaction incomplete. As a result, the website visitor abandons all the items they added to the cart.
For example, a user made purchases at your store, picked the right size items, added them to the cart, and headed to the checkout. Then, the online payment needed to be simpler. The user got irritated and gave up, not completing the transaction.
How do you calculate the shopping cart abandonment rate? The total number of completed transactions ÷ the number of initiated transactions = shopping cart abandonment x 100%

9. Customer Lifetime Value (CLV): Understanding Revenue Potential

It is a metric that measures the total revenue a customer generates for your e-commerce business. In other words, it allows you to predict how much money someone will spend with your company from when they become a customer until they stop buying from you.
With this information, you can estimate how long each customer will stay with you and how much they’ll spend during that period. You can start deciding where to focus your marketing efforts and which customers are worth investing in. For example, if you’ve calculated that your CLV is $100, spending $900 to acquire a customer will make you bankrupt. CLV allows you to determine how much you can spend on activities bringing in new customers.
How to calculate CLV? (Average purchase value x average number of purchases) ÷ average retention time = CLV

10. Mobile Conversion Rates: Tracking Mobile Performance

It is crucial to track your mobile conversion rates to measure your mobile experience.
For example, when you find out that your customers prefer shopping via mobile devices or the number is growing, it would mean that it’s time to make it even more convenient for a mobile user to do online shopping via your mobile app.
Or the other way around, if very few people purchase via mobile devices, you may need to check some pain points.
How do you calculate mobile conversion rates? The number of users who acted mobile ÷ the total number of users = mobile conversion rate x 100%
The metrics may help you better understand what’s happening in your current e-commerce business.
They are also key performance indicators for e-commerce. They can help you measure and track progress in various business areas, from sales and marketing to customer satisfaction and retention. By tracking your KPIs regularly, you can identify areas that need improvement and make necessary changes to keep your business moving forward.

11. Customer Retention Rate (CRR): Analyzing Loyalty

If you’re losing customers almost as quickly as you’re acquiring them, you know something is seriously wrong with your products or customer relationship strategy.
Repeat customers are the lifeblood of ecommerce businesses because it costs much less to retain happy customers than to bring new ones in. The CRR ecommerce metric tracks your ability to retain customers once you gain them.
To find CRR:
  • Subtract the number of new customers gained during a period from the number of customers at the end.
  • Divide the result by the number of customers you had at the beginning of the period, then multiply by 100.
This metric directly correlates to customer satisfaction and loyalty, so its value should be considered.

12. Customer Acquisition Cost (CAC): Measuring Cost of Growth

Customer Acquisition Cost is the total amount you spend to bring in a new customer. Some call this metric the startup killer because many new companies start with high sales/marketing spending to attract new leads, with a relatively low number of leads that will convert, which results in a very high CAC.
This metric is calculated by dividing your total sales and marketing costs for a given period by the number of new customers acquired during that period. Which sales and marketing costs do you consider? All of them.
If you start to see this metric gradually increase over time, it should be a warning sign that something is wrong with your product or your user experience.

13. Shopping Cart Abandonment Rate: Diagnosing Checkout Issues

It hurts to see potential buyers load up a shopping cart then abandon it before finalizing a purchase. There are a variety of possible reasons for why this could be happening, the most common being:
  • Unexpected additional fees or high shipping costs
  • No guest checkout option is available
  • A long checkout process that extends beyond a single page
  • Payment security concerns
  • The poorly structured user experience
High cart abandonment is generally a telltale sign that something in your checkout experience isn’t working. Track this metric to spot red flags and optimize the experience for customers.
To calculate shopping cart abandonment, divide the number of completed cart check-outs during a given period by the total number of carts loaded during that same period, and then multiply the result by 100.

14. Return On Ad Spend (ROAS): Measuring Advertising Efficiency

If you don’t know how much you’re spending to drive new revenue, you can easily spend more than you’re making— which is a recipe for disaster.
How do you track it? ROAS = Revenue From Advertising / Cost of Advertising
For example, let’s say I spent $3,000 on a PPC campaign and determined that it generated $12,000 in revenue. $12,000/$3,000 = 4. For every dollar I spend on advertising, I’m generating $4.00 in revenue.
By regularly tracking your ROAS, you can evaluate the effectiveness of your advertising and predict how much revenue future advertising will generate.

15. Channel Mix Metrics: Measuring Marketing Performance

To understand how well your marketing channels are working, you should track metrics like conversion rate, abandonment, and AOV, on a channel-by-channel basis.
Where is the good traffic coming from? When you understand this, you can begin to examine the experience for each channel and the why behind the numbers.
For example, looking at conversion rates on a per-channel basis can tell you if your marketing efforts are successful and if the shopping journey delivers on what was promised in that initial brand interaction.

16. Net Promoter Score (NPS): Measuring Customer Satisfaction

As an ecommerce manager, you need to track a metric that helps you analyze how good your fulfillment and product are. Are you delivering a strong customer experience? You could also measure this through return rate and reviews on your site, but NPS is a comprehensive way to quantify the customer experience. This metric is less tangible than others in this list, but that shouldn’t downplay its significance. The Net Promoter Score (NPS) measures how likely your customers would recommend your products or services to a friend.
The NPS is typically determined by sending out a survey to a representative sample of your customer base, asking them how likely they would recommend your brand on a scale of 1-10. Customers who respond with a 9 or 10 are referred to as promoters; those who respond with a 7 or 8 are considered neutral; anything below a 7 is viewed as a detractor. To calculate the NPS metric, simply subtract the percentage of detractors from the percentage of promoters.

17. Add to Cart Rate: Measuring Product Interest

The add-to-cart rate tracks the percentage of your site visitors who add something to their shopping carts. It’s important to remember that the add-to-cart rate solely measures adding an item to a cart, not whether or not that item was purchased.
That said, purchase metrics aren’t the only ecommerce benchmarks that can give you insights about visitors’ shopping habits. For example, the add-to-cart rate can tell you how interested people are in certain products.
  • Which items get added to carts most frequently? These are likely your most popular products.
  • Which products do customers pass over? This can indicate a pricing strategy that doesn’t align with your target market.
If you’re looking to improve your add-to-cart rate, your pricing strategy is the first place to look. Scope your competitor’s products to see how your pricing stacks up and see if tweaking my prices affects your add-to-cart rate. You should also examine the design and usability of your product detail and product listing pages.
  • Are my CTAs featured prominently?
  • Do you have high-quality images showcasing my products?
Also, consider the functionality and speed of your site. You want to be sure that when someone clicks “add to cart,” the cart loads quickly, and there’s a clear next step. Other things that may help: Consider offering free or reduced shipping or promotional deals that encourage shoppers to buy instead of browse.
How do you calculate your add-to-cart rate? It's simple: Divide your total site visitors by the number of shoppers added to the cart. Similarly, your add-to-cart conversion rate can be calculated by dividing the total converted customers by the total number of shoppers who added to cart.

18. Return Rate (or Refund Rate): Analyzing Product Quality

While it’s never the desired goal, some customers will likely return products. It’s estimated that for every $1 billion in sales opens in a new window, the average retailer incurs $165 million in merchandise returns. Your refund rate refers to the total number of purchases later returned or refunded. This is a key e-commerce metric to track because it can significantly impact overall profit (so much so that some businesses account for refund rates in their financial models).
If you have a high return rate, the first thing to look at is your quality control measures. If items arrive at customers’ doorsteps damaged, you may need to examine my supply chain more closely, change shippers, or talk to your warehouse management.

Accurate Product Descriptions and Detail Pages

Another area to investigate if you have a higher-than-normal return rate is product descriptions and detail pages. You want potential customers to understand what they’re buying and set the right expectations before purchasing. AI and augmented reality can help here. Many brands implement this technology on their digital storefronts to give shoppers a “virtual try-on” experience and reduce the chances they will return.
For example, AR allows customers to see what apparel will look like when they wear it or what home furnishings will look like in their rooms. Reports show a 25% decrease opens in a new return window from AR-guided purchases.

Balancing Refund Policies for Optimal Results

Your refund rate is a delicate balance. The incentive of a free return can often be the push a potential customer needs to click the “buy” button. Free returns and easy refunds can go a long way in increasing customer satisfaction and creating customer loyalty. All this is to say that your refund rate is a delicate balance. The key is to use your refund policy to generate sales, growth, and customer loyalty while at the same time assuring it does not come back to bite you in the end.
How to calculate your refund rate: To calculate your refund rate, divide the number of items returned by the total number of items sold, then multiply that number by 100 to get a percentage. For example, if you sold a total of 1,000 items and 200 of them were returned, your refund rate would be 20%.

19. Churn Rate: Measuring Subscription Service Success

The churn rate determines the success of a subscription service. It measures the percentage of
customers who have stopped using your service over some time.
For instance, say your subscription-based meal kit delivery service starts the year with 1,000 subscribers. By the end of the year, 200 people cancel their subscriptions, and your churn rate would be 20% (200 cancellations out of 1,000 original subscribers).
With this ecommerce insight, you can assess customer retention, determine why customers are leaving, and how to improve your service to keep them.

10 Best Analytics Tools to Track Key Ecommerce Metrics

1. ShopHunter: The Ultimate Sales Tracker

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ShopHunter's Shopify sales tracker is essential for e-commerce founders, particularly those within the Shopify ecosystem. At its core, this tool uses a custom algorithm to estimate sales for entire stores and individual products, helping users quickly validate product potential.
Key features include:
  • Sales estimates for both stores and products, offering insights into market opportunities.
  • Ad spy tool to track advertising activity across multiple stores, allowing you to spot trending products and winning marketing strategies.
Whether you're a dropshipper, a Shopify store owner, or a newcomer to e-commerce, ShopHunter simplifies product research and minimizes the risk of investing in low-performing items.
Sign up for a free trial (no credit card required) to our Shopify sales tracker tool to find your next eCom opportunity or to level up your current eCommerce store by learning from your competitors.

2. Google Analytics: The Go-To for Ecom Tracking

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Google Analytics is one of the most popular data analytics tools for eCommerce. It offers a wide variety of actionable insights for free, providing a great starting point for any eCommerce platform. It also has a feature called Google Analytics Enhanced Ecommerce that gives eCommerce business owners advanced analytics. This allows a marketing team to track traffic at each sales funnel step easily.

3. Kissmetrics: The Customer-Centric Analytics Tool

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Kissmetrics is more sophisticated than Google Analytics and perfect for eCommerce marketers who require a wide variety of metrics. Discover the average revenue per person, the visitor-to-purchase conversion rate, and the cart-to-purchase conversion rate. You can understand the behavior of individual customers while establishing which marketing channels are performing best. Using the data from Kissmetrics, you can optimize your email campaigns, A/B test your marketing strategies and improve your website bounce rate by creating pop-up boxes and notifications.

4. Optimizely: The A/B Testing Expert

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Want to create a more personalized experience for shopping success? Optimizely’s features are a good starting point. This eCommerce analytics software focuses on A/B testing and optimization to create a more authentic shopping experience. It’s like hiring an A/B testing specialist and an advanced platform.
Optimizely’s web experimentation tool offers a no-code editor that helps you set up A/B tests to improve your site content. Optimizely’s full stack tool enables you to roll out new features faster. Collect customer data to know which variations are performing best. Experiment with chatbots and checkout flows to reduce cart abandonment rates.

5. Hotjar: Visualize Your Customers

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Hotjar is a visual tool that uses heatmaps to show how users interact with your site. It helps you identify the “hot” and “cold” spots on your website and collect feedback from visitors. You can also create real-time recordings of users to help improve conversion rates and tracking.

6. Crazy Egg: The Heat Map Tool on Steroids

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Crazy Egg started as a heat maps tool but quickly grew to a top-rated Shopify app with everything you need to improve the conversion rate on your site.
  • Crazy Egg Discover where customer engagement is happening on your website and what’s being overlooked (heat maps)
  • See visitor website clicks in varying colors to determine their traffic referral source (Crazy Egg Confetti).
This gives you a deeper look at critical customer behavior on your website. Determine if my CTA buttons are in the right places (scroll maps): If you want to know if your CTA buttons are in the correct place, use the scroll map tool to find out.

7. Glew.io: The Reporting Powerhouse

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Glew is a better tool for larger eCommerce stores with 10-25 different marketing channels. It’s good at aggregating all your business data into easy-to-use dashboards. Glew.io also improves your audience segmentation for email marketing campaigns and advertising. You can even view advanced reports on your audience by pulling data from social media ads.

8. Supermetrics: A Simpler Option

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Supermetrics is a simpler version of Glew that helps you seamlessly import all your eCommerce data and display it in customizable reports. The tool takes your data from:
  • Social media ads
  • Shopify
  • Online marketplaces
  • Email tools
  • SEO tools
You can then analyze which marketing campaigns are contributing to your revenue. You can set up your data to refresh automatically and schedule emails to send you reports continually. If you want to optimize my marketing materials more, Supermetrics is handy eCommerce software for your ongoing marketing campaigns.

9. Woopra: The Customer Journey Analytics Tool

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Woopra provides customer journey reports to optimize every part of the customer experience. The tool helps reduce the average abandonment rate for shopping carts and improve customer retention. With Woopra, you can get into the nitty-gritty of every part of the customer journey.
Throughout the sales funnel, you can see how long my average customer takes to purchase or abandon my site. I can analyze various parts of the process, like adding payment or completing a purchase, to determine which part requires improvement.

10. Matomo: The Open Source Google Analytics Alternative

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Matomo is an excellent alternative to Google Analytics if you have the tech chops. This tool's advantage is that you can control your data and protect your users’ privacy. Matomo seamlessly integrates with e-commerce platforms such as WooCommerce and Shopify.
You can easily view eCommerce KPIs, including your average order value and conversion rate. You can also set up an automation that will send you reports each time a user abandons their shopping carts. It also provides detailed sales reports categorized by geolocation, marketing channel, and product.
  • Google Ads for Ecommerce
  • Ecommerce Video Ads
  • Ecommerce Ads
  • E-Commerce Social Media Advertising
  • Competitor Ads
  • Analytics Tools for Ecommerce
  • How to Make TikTok Ads
  • Ecommerce Advertising Platforms
  • Ecommerce Ad Intelligence
  • Facebook Ads for Ecommerce
  • PPC Competitor Analysis Tools

How Often Should I Check My Ecommerce Metrics?

Ecommerce Search Metrics
Ecommerce Search Metrics
The simple answer to how often you should track your e-commerce metrics is regularly, but there’s no definitive one-size-fits-all answer.

Weekly

If you’re just starting, it’s best to track metrics every seven days because you’ll be able to see your store growing. However, the downside is that doing it too often will be time-consuming and might produce a data overload.

Monthly

This is the sweet spot for tracking e-commerce metrics. It provides enough time for meaningful changes but not so much that you’ll lose sight of your progress.

Quarterly

If you feel you have a handle on things and don’t need to perform tracking as frequently, every three months might be a good option. Just be sure to revisit your metrics more often if things go downhill.
The time between each check will vary depending on many factors:
For example, if you’ve just changed your website or launched a new marketing campaign, tracking metrics more frequently is sensible to see whether the changes are making a difference. In contrast, if your online store has been running smoothly, you might only need to check the data every few weeks or months.

Best Practices for Improving Ecommerce Search Metrics

Autocomplete: A Simple Fix for Misspelled Searches

Autocomplete helps improve the search experience by making it easier for visitors to find relevant products quickly. When someone starts typing in a query, autocomplete will suggest related search terms and phrases based on what other internet users have searched for. This tool can be handy for those who are unsure what to look for or explore different options. Autocomplete also helps deal with:
  • Typos
  • Misspellings
  • Synonyms
  • Diacritics
It saves time by eliminating the need to type out a long search term in a search bar. Visitors who use your e-commerce site’s search feature want to find relevant results quickly. Autocomplete can help you achieve that goal.
Filters are excellent because they help buyers to find products much faster. Thanks to a search function like advanced filtering UI or dynamic filters, online shoppers can easily find everything and get relevant results immediately. Using filters in e-commerce is like having a trusty sidekick. They’re not the show's star, but they make the whole experience better for everyone involved.

Voice Search: E-Commerce Search for the Modern Age

Voice search is becoming more popular for several reasons, not the least of which is its convenience. Instead of typing out a query, users can simply speak their search into the device’s microphone and get results immediately. This method of searching is especially convenient if your customers search for something while they’re on the go. Voice search is quickly becoming the preferred method of searching for many people.
With Recommender, you can effortlessly create recommendations for your e-commerce store. Thanks to artificial intelligence support, our tool prioritizes only relevant results based on customers’ online behavior and individual preferences. This way, you can improve your AOV rates and increase conversion rates.

E-Commerce Search Software: Invest in a Robust Internal Tool

Not all e-commerce search engines are created equal. The tool you use needs to get you insights into your search volume, search performance, and other aspects that you find essential for your business.

Sign Up for a Free Trial (no credit card required) to Our Shopify Sales Tracker to Find Your Next eCom Opportunity Today!

The Shopify sales tracker from ShopHunter takes a unique approach to estimating sales for online stores and products. At its core, the tool uses a custom algorithm to provide sales estimates for Shopify stores and products. This helps eCommerce entrepreneurs quickly validate product potential and make informed business decisions.
Beyond basic sales tracking, ShopHunter's sales tracker features an ad spy tool that monitors store advertising activity. This combination lets users spot trending products and successful marketing strategies early on. ShopHunter aims to streamline product research and reduce the risk of investing in low-performing items whether you're a:
  • Dropshipper
  • Shopify store owner
  • Someone looking to enter the eCommerce space,

How ShopHunter's Sales Tracker Works

To use ShopHunter's sales tracker, eCommerce entrepreneurs first enter a Shopify store or product page into the tool. The dashboard then populates an overview of the estimated sales, including total sales over time and sales by the last month.
For even more detail, users can click through the dashboard to access information on:
  • Sales over time
  • Sales by the last month
  • Additional ads running for the store or product
This allows users to quickly validate product potential and uncover existing marketing strategies to help inform their own.

Benefits of Using ShopHunter's Sales Tracker

ShopHunter's sales tracker helps eCommerce entrepreneurs validate product potential before investing time and money into a new business venture. By providing detailed estimates of store and product sales, the tool helps users make informed decisions about what to sell in their Shopify stores. The additional data on existing advertising strategies can also help jumpstart a new store's marketing efforts.
  • Best TikTok Ads
  • AutoDS vs ZenDrop
  • Google Ads Spy
  • Ads Spy Tool Free
  • Ecommerce Marketing Tools
  • Facebook Ads Spy Tool
  • Track Competitors Display Ads
  • AutoDS Alternatives
  • TikTok Ad Spy
  • Ad Intelligence Tools
  • Best Ecommerce Analytics Tools

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