Comparison

Heap vs Triple Whale in 2026: General product analytics vs DTC ecommerce attribution

One autocaptures every interaction inside any digital product. The other is built specifically for Shopify brands trying to fix ROAS numbers that iOS 14 broke.

Updated July 3, 2026
Heap
Triple Whale
Key takeaways
  • Heap autocaptures generic product usage events (clicks, pageviews, form submissions) across web and mobile; Triple Whale is purpose-built for ecommerce attribution, aggregating ad spend, Shopify revenue, and cross-channel ROAS.
  • Triple Whale's Triple Pixel restores first-party purchase attribution that iOS 14 App Tracking Transparency degraded on Meta and Google; Heap has no equivalent ad-attribution feature.
  • Triple Whale has a genuinely usable Free tier plus GMV-based paid pricing starting at $219/month; Heap's Free tier is capped at 10,000 sessions and every paid tier requires a sales conversation.
  • Heap Illuminate automatically surfaces which user behaviors correlate with conversion or retention across any product; Triple Whale's Marketing Mix Modeling estimates each ad channel's incremental revenue contribution, a narrower but ecommerce-specific version of the same idea.
  • Heap has native iOS and Android SDKs for mobile app tracking; Triple Whale is Shopify-native and does not offer a comparable mobile app analytics SDK.
  • Neither tool offers white-label delivery: Triple Whale explicitly has none, and Heap does not list white-label as a capability on any tier.

Heap and Triple Whale share the Analytics & Reporting category, but they were built for different jobs and different buyers. Heap autocaptures every click and pageview across any web or mobile product, then lets teams define new metrics retroactively without having planned for them. Triple Whale is a purpose-built ecommerce analytics platform for Shopify-native DTC brands, centered on first-party attribution via the Triple Pixel and a conversational AI layer, Moby, that answers questions about ad spend and revenue in plain English. A SaaS product team debugging onboarding drop-off and a DTC founder trying to trust their Meta ROAS numbers again are solving completely different problems, even though both tools would technically show up under "analytics."

The tools at a glance

ToolStarting priceBest for
Heap$0SaaS and digital product teams that need full behavioral tracking across web and mobile without having planned every event in advance, and growth teams building funnels or cohorts retroactively.
Triple WhaleFreeDTC brand founders and paid media buyers on Shopify who need first-party attribution to replace unreliable platform-reported ROAS, and growth leads who need Marketing Mix Modeling for channel budget decisions.

Heap

Autocapture product analytics that records every user interaction automatically, so you never miss data from before you knew what to track.

Full review →
Heap screenshot

Heap installs as a single script and immediately begins autocapturing every click, pageview, and form interaction, with no event taxonomy required before you start collecting data. Teams can define new metrics retroactively against that historical dataset, which matters most for SaaS and digital products where the question you need answered today was never explicitly instrumented yesterday.

Heap Illuminate applies data science across the full behavioral dataset to surface which user paths correlate most strongly with conversion or retention, without requiring an analyst to build a hypothesis-driven funnel first. Native iOS and Android SDKs extend the same autocapture model to mobile apps.

Heap is now owned by Contentsquare, which adds session replay and heatmaps as paid add-ons and a shared Sense AI assistant. The friction point for evaluation is pricing: only the Free tier (capped at 10,000 monthly sessions) is public, and Growth, Pro, and Premier all require a sales call before you see a number.

Pricing
Feature
Free
$0
Growth
Contact sales
Pro
Contact sales
Premier
Contact sales
Monthly sessionsUp to 10kCustomCustomCustom
Autocapture and retroactive eventsYesYesYesYes
Heap IlluminateNoNoNoNo
Sense AI assistantNoYesYesYes
Data warehouse sync (Heap Connect)NoNoAdd-onYes
Best for: SaaS and digital product teams that need full behavioral tracking across web and mobile without having planned every event in advance, and growth teams building funnels or cohorts retroactively.

Triple Whale

eCommerce analytics platform with multi-touch attribution, AI-powered insights, and real-time cross-channel dashboards

Full review →
Triple Whale screenshot

Triple Whale exists to solve one specific problem: DTC brands running paid media on Meta, Google, and TikTok stopped trusting platform-reported ROAS after Apple's iOS 14 App Tracking Transparency changes broke browser-level attribution. The proprietary Triple Pixel captures purchase events server-side using first-party Shopify data, giving brands an attribution source that is not dependent on what each ad platform claims about itself.

Moby, Triple Whale's AI assistant built on Claude, ChatGPT, and Gemini, lets non-technical operators ask plain-English questions about blended ROAS, CAC, or creative performance and get direct answers. Marketing Mix Modeling, available on higher tiers, estimates each channel's incremental contribution to revenue, accounting for factors last-click attribution misses.

The platform is priced on GMV, meaning costs rise as a store's revenue grows, and the deepest features (MMM, custom SQL) sit on the Automate and Enterprise tiers. Triple Whale is built for Shopify-native stores; other ecommerce platforms get partial support, and there is no white-label option for agencies managing multiple client brands.

Pricing
Feature
Free
Free
Foundation
$219/month (base GMV)
Automate
$749/month (base GMV)
Enterprise
Custom pricing
Triple Pixel attributionYesYesYesYes
Moby AI assistantLimitedYesYesYes
Creative analyticsNoYesYesYes
Marketing Mix ModelingNoNoYesYes
Custom SQL dashboardsNoNoYesYes
Best for: DTC brand founders and paid media buyers on Shopify who need first-party attribution to replace unreliable platform-reported ROAS, and growth leads who need Marketing Mix Modeling for channel budget decisions.

Head-to-head feature comparison

Feature
Heap
Triple Whale
Built forGeneral web and mobile product analyticsDTC ecommerce attribution and reporting
Autocapture / no-code instrumentationYesNo
Ad platform attribution (Meta, Google, TikTok)NoYes (Triple Pixel)
Conversational AI query assistantYes (Sense Chat)Yes (Moby AI)
Mobile SDK (iOS / Android)YesNo
Custom SQL accessNo (Heap Connect syncs to warehouse instead)Yes (Automate and Enterprise)
White-label deliveryNoNo
Free tierYes (10k sessions/mo)Yes
Pricing transparencyFree tier only, paid plans require salesFree tier public, paid tiers scale with GMV
Starting price$0Free / $219/mo at base GMV

Which should you choose?

DTC brands needing first-party attribution after iOS 14 tracking lossTriple Whale
SaaS product teams tracking in-app user behavior and onboarding funnelsHeap
Ecommerce growth leads planning channel budget with Marketing Mix ModelingTriple Whale
Mobile-first products needing iOS and Android event trackingHeap
Teams that want to see real pricing without a sales callTriple Whale
Data teams wanting raw behavioral events synced to a warehouseHeap

These two tools almost never compete for the same budget decision. Triple Whale is scoped tightly to Shopify-native DTC brands running paid social, where the Triple Pixel and Moby solve a problem Heap was never built to touch: platform-reported ROAS you can no longer trust. Heap is scoped to general product usage tracking across any web or mobile app, a job Triple Whale does not attempt. The only teams likely to genuinely weigh one against the other are DTC brands with an in-house app who are trying to decide whether their engineering budget goes toward ad attribution or product usage tracking first.

Bottom line

Pick Triple Whale if you run a Shopify store spending real money on Meta, Google, or TikTok ads and need attribution data you can trust more than what each platform reports about itself. Pick Heap if your priority is understanding how users behave inside a web or mobile product, especially when you need to answer questions about behavior you never explicitly instrumented. Most teams will not choose between these two so much as recognize they solve entirely separate problems.

Frequently asked questions

Is Triple Whale a replacement for Heap, or the other way around?

Neither replaces the other. Triple Whale is built specifically for DTC ecommerce attribution and ad spend reporting on Shopify. Heap is a general-purpose product analytics tool for tracking user behavior inside any web or mobile app. A Shopify brand with its own mobile app might reasonably use both.

Which tool is better for fixing broken Meta and Google ROAS numbers?

Triple Whale, without much competition here. Its Triple Pixel captures purchase events server-side using first-party Shopify data specifically to bypass the browser tracking restrictions that iOS 14 App Tracking Transparency introduced. Heap has no ad-platform attribution feature at all; it tracks in-product behavior, not ad spend.

Does Heap work for ecommerce brands the way Triple Whale does?

Heap can track user behavior on an ecommerce website, but it has no Shopify-native integration, no ad-attribution pixel, and no GMV-based pricing model built for DTC brands. Triple Whale was purpose-built for that use case; Heap would require significant custom setup to approximate what Triple Whale does out of the box.

How does pricing compare between Heap and Triple Whale?

Triple Whale has a genuinely free tier and publishes starting prices for paid tiers ($219/month for Foundation, $749/month for Automate, both scaling with store GMV). Heap also has a free tier capped at 10,000 sessions, but every paid tier beyond that requires a sales conversation with no public pricing.

Can agencies white-label either tool for client reporting?

No. Triple Whale explicitly has no white-label option on any tier, and Heap does not list white-label delivery as a capability either. Agencies needing white-label analytics reporting for ecommerce or product clients will need a separate reporting layer regardless of which tool they choose.

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