Product Teams
You need to build products users need, not just “good” ideas. But when it comes down to it, do you struggle to understand what your users are doing & why?
Measure and understand all user behavior anytime, anywhere — even when your users surprise you.
When there are tracking gaps, overlooked insights, or incomplete journeys, surprises can be catastrophic. Make sure you have everything you need to turn surprises into strategy.
Get every click, view, and form fill captured automatically, then easily paint a picture of the full user journey in all its complexity using features like Heap Illuminate, Journeys, and Session Replay.
With Heap, no stone is left unturned. See and take advantage of every opportunity rather than letting the unexpected become your downfall.
We almost take it for granted now that every new feature that goes out has analytics on it so we can quickly see if people use it or not. That’s something we couldn’t take for granted a couple of years ago.
VP of Product
Quickly identify where to focus your efforts to drive impact so you ensure every decision drives outcomes.
Heap’s data science layer automatically scans your entire dataset and shows you missed steps, alternate paths to conversion, and areas with significant friction.
Bonus: React in real-time to not only what your users do, but why they’re doing it.
Heap was built to provide best-in-class data so users can generate deep insights into how people use your website or product. Heap tells you why things happen, shows you what’s working and what isn’t, and directs you to the root causes of key customer behaviors.
Heap’s data science features guide your analytics in real time by highlighting behaviors you may have missed and making suggestions about where to focus your analyses.
With features like funnels, journeys, influence of touchpoints and time-based analytics, Heap can set up automatic queries to answer questions like the following:
ㅤ• Did a feature change after a specific date?
ㅤ• Which accounts have the best per-user conversion rate for a particular feature?
ㅤ• How does the use of a particular feature influence conversion and drop-off rates? ⠀
ㅤ• What are the most common paths that users take after landing or before purchasing?
ㅤ• How does my experiment affect the conversion rate?
ㅤ• How has my purchase funnel changed since last month?
ㅤ• Do users returning after a break convert at a higher rate than new users?
Heap’s complete data foundation and analytics features let users paint a complete picture of the customer experience, and guides teams to understand what components of their digital experience are keeping users engaged, improving retention or causing churn.
Heap’s data science layer automatically scans your dataset to show you missed steps, alternate paths to conversion, and areas with significant friction.
Heap offers Session Replay integrated into our analytics suite. For any user event you’re interested in, Heap can pull up endless sessions cued to that exact event. This is a significant advance over stand-alone session replay tools, which require you to search through hundreds of recordings to find what you're looking for.
Heap’s new Journeys feature lets you analyze multi-funnel nonlinear user experiences, with multiple branches and optional steps. Heap also offers traditional funnels, path analysis, advanced retention, time based usage analysis and influence analysis.
Heap provides the most complete data capture on the market. Our Autocapture snippet and SDK which automatically capture every user view, click, swipe, and form fill with a single snippet of code.
This is achieved without maintaining manual tags and without forcing teams to expend hundreds of hours managing data dictionaries, writing code, and reacting to endless tagging changes.
Forrester found that Autocapture alone produced a 40% labor reduction per product innovation.
To this autocaptured dataset Heap adds custom tracking and server-side events, which gives customers the most complete and manageable data set available on the market.
Heap collects all this data from the moment teams install the snippet. This gives teams the power to analyze data retroactively, and see all every behavior from every user from the moment of installation forward.
Heap provides a network of over 40 integrations, providing both data-in and data-out connections to products like Snowflake, AWS S3, Redshift, Salesforce, Optimizely, Hubspot, Marketo, Shopify and many more.
Heap’s autocaptured data provides teams the data they need to perfect use cases spanning A/B testing, personalization, ad targeting, NPS surveys, marketing campaigns and more.
Many Heap customers push Heap’s gapless data set into data warehouses like Snowflake, Redshift, and AWS S3 to drive more complex data science use cases and personalization.
G2 Crowd recognizes Heap as a leader in Product Analytics, Digital Analytics Software, eCommerce Analytics, Mobile App Analytics, and Mobile App Optimization Software.
Awards are based on user satisfaction scores, employee growth, and digital presence.
