3 Proven Experiments To Boost Your E-Commerce Sales
Ecommerce is an agile industry — and ecommerce analytics tools haven’t kept up. Instead of static metrics like pageviews and bounce rates, ecommerce companies need intelligent analytics and reporting that give them critical insights into a ever changing customer journey. Forget confounding shopping cart abandonment and unclear product engagement. Instead, get the insights needed to create a data-driven strategy based on how customers really use your website.Try Heap for Free
Find the channels with the highest return.Learn More »
Rather than focusing on first or last touch, Heap captures every touch to help companies understand which channels drive conversions, higher order values, and repeat customers.
Decrease friction on your website.Learn More »
Heap automatically captures experimentation variation data, device type, ad campaigns, and more so you can determine the best ways to optimize product changes and ad spend.
Optimize for LTV, not just acquisition.Learn More »
Determine the actions that great customers take and focus your marketing and product strategies around driving good behavior. Find ways to improve your products and your store, so you can transform mediocre customers to loyal repeat business.
Get more time to do what matters.Learn More »
Remove technical bottlenecks, so you can spend more time improving features and services, not building pipelines and tagging.
How customers capture and analyze user behavior data to gain a competitive edgeGet the eBook
Automatically capture every tap, click, swipe, field change and pageview in your web or mobile app without writing a single line of code or filing a single ticket. Heap’s “capture everything” philosophy means that you always have a complete and retroactive data-set.
Identify drop-off in your checkout funnel. Dive into the details into every step of customer behavior to ensure your flow is seamless. Analyze your funnel using metrics such as device, customer cohort, and attribution channel so you can improve spend and encourage the right behaviors.
Understand how different customer behaviors drive conversions and LTV. Create segments of users by filtering for their real-time behavior and historical actions. Combine user activity with user attributes like lifetime value and first-touch attribution to create complex personas in your analysis.
Our retroactive, managed ETL process means that your data teams have all the data in a clean, easy-to-use schema. That means your best minds are discovering new insights, not building pipelines and munging data.
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