Attrifast vs Heap
Heap captures everything.
Can you find your revenue in it?
Heap's autocapture records 50+ events per pageload — clicks, scrolls, hovers, form interactions, rage clicks. That sounds powerful until you're wading through thousands of events trying to answer one question: which channels actually drive revenue? Attrifast skips the firehose and answers that question directly.
Free to start. No sales call required.
The signal-to-noise problem
Heap captures roughly 50+ events per pageload. When your question is "where does revenue come from," about 95% of those events are noise. Here's what that looks like in practice.
Highlighted in blue: the 2 events that might relate to revenue intent. The rest is interaction noise.
Every event captured has a direct line to revenue. No filtering required.
Heap requires you to define "virtual events," build funnels, and cross-reference dashboards to get this answer.Attrifast shows it on the default dashboard, day one.
The autocapture paradox
More data doesn't mean better answers. It often means more work to find the answer you actually need.
You still have to define what matters
Heap captures everything retroactively — which sounds like a superpower. But you still need to create "virtual events" to organize the data into meaningful signals. That curation work doesn't disappear; it just moves downstream.
Attrifast: revenue-relevant events are defined for you from day one.
Query complexity scales with data volume
With 50+ events per session across thousands of visitors, Heap dashboards get slow and fragmented fast. Founders report spending hours setting up the right filters just to answer "which UTM source drove conversions last month."
Attrifast: that answer is the default view, not a custom query.
Autocapture can't capture Stripe revenue
Heap tracks clicks and page events — browser-side behavior. It has no native integration with Stripe webhooks or Shopify order events, so it cannot tell you which marketing channel led to a $297 purchase.
Attrifast connects visit data to payment data at the server level.
Pricing opacity compounds the problem
Heap doesn't publish pricing on their website. Customers report paying $3,600–$100k+/year depending on session volume and add-ons. Session replay is a separate $5k+/year line item.
Attrifast: $0 free tier, $29/mo Pro. Listed on the website.
Side-by-side comparison
Heap is the right tool when product behavior analytics is the goal. For revenue attribution, it's the wrong abstraction.
When Heap actually makes sense
Honest assessment: Heap is genuinely useful for specific teams and problems. Here's when it's worth the cost and complexity.
Retroactive product analytics
Heap's biggest differentiator: you can define events after the fact. If you didn't instrument a click today, you can still analyze it tomorrow. Invaluable for product teams who ask questions they didn't anticipate.
Deep user journey mapping
If your goal is understanding the path users take through a complex SaaS product — which features lead to activation, which friction points cause drop-off — Heap's event model is well-suited for that analysis.
Session replay for UX research
The session replay add-on lets you watch individual user sessions to identify UX confusion. Useful for design teams iterating on a product interface. Less useful if you just want to know which ad brought a sale.
Teams with dedicated analysts
Heap rewards teams who invest time in it. If you have a data or product analyst whose job is building dashboards and defining event taxonomies, Heap's depth pays off. Solo founders rarely have that resource.
The bottom line: if your core question is "which marketing channels drive Stripe revenue," Heap is the wrong tool — not because it's bad, but because it's optimized for a completely different question. You'd spend weeks configuring it to answer something Attrifast shows you on day one.
Less data. Better revenue answers.
Stop drowning in autocaptured events. See exactly which channels drive Stripe revenue.
Cut through the noise →Loved by 500+ users