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Technology · head to head

Heap vs Klipfolio

Heap logo

Heap

Technology

Product analytics for the modern product team

From
Free
Rated
-
Full reviewWebsite
Klipfolio logo

Klipfolio

Business Intelligence

Dashboard and reporting for teams

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Heap no built-in A/B testing or feature flags; requires integration with separate tools for experimentation; Klipfolio requires Formula knowledge for complex data transformations
  • They diverge on capability: Heap covers Autocapture, Klipfolio covers Pre-built Metrics.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Heap and Klipfolio actually diverge.

Attributes where Heap and Klipfolio differ
AttributeHeapKlipfolio
PlatformsWeb, iOS, AndroidWeb, Mobile
CategoryTechnologyBusiness Intelligence
Founded20132001

Identical on both: starting price (Free), pricing model (Unknown), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Heap

  • Autocapture
  • Retroactive analytics
  • Session replay
  • Funnel analysis
  • User segmentation
  • Path analysis
  • Data science
  • Virtual events

Only in Klipfolio

  • Pre-built Metrics
  • Real-time Data
  • Custom Visualizations
  • Data Modeling
  • TV Display
  • Google Analytics
  • Zendesk
  • QuickBooks

Both cover

  • Salesforce
  • HubSpot

What people use each for

The jobs each tool is most often brought in to do.

Heap

  • User behavior analysisnot Klipfolio
  • Conversion optimizationnot Klipfolio
  • Product adoptionnot Klipfolio
  • Customer journey mappingnot Klipfolio
  • A/B testing analysisnot Klipfolio

Klipfolio

  • KPI monitoringnot Heap
  • Real-time dashboardsnot Heap
  • TV dashboardsnot Heap
  • Team metricsnot Heap
  • Client reportingnot Heap

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Heap

  • No built-in A/B testing or feature flags; requires integration with separate tools for experimentation
  • Group analytics and advanced features require a sales conversation, not self-serve
  • Cloud-only deployment; no self-hosted option for data security or compliance requirements
  • Session replay lacks developer debugging tools compared to PostHog
  • Pricing for Growth and Pro plans requires direct sales contact; no transparency on how pricing scales

Klipfolio

  • Requires Formula knowledge for complex data transformations
  • Dashboard setup is time-consuming with each widget built individually
  • Performance slows with very large datasets or intricate dashboard complexity

Pricing, plan by plan

Heap

Free
  • FreeFree
    • Up to 10,000 monthly sessions
    • Basic charts
    • 6 months data history
  • Growth$undefined/custom
    • Custom session pricing
    • Sense AI assistant
    • 12 months data history
  • Pro$undefined/custom
    • Custom session pricing
    • Account analytics
    • Engagement matrix
  • Premier$undefined/custom
    • Custom session pricing
    • Data warehouse integration
    • Unlimited projects

Klipfolio

Free
  • PowerMetrics FreeFree
    • 3 users
    • 250 metric instances
    • Limited data sources
  • Klips Starter$90/month
    • 1-5 dashboards
    • Limited data sources
    • Basic customization
  • Klips Professional$350/month
    • Unlimited dashboards
    • All data connectors
    • Advanced formulas

Which should you pick?

Choose Heap if

  • You need autocapture.
  • You want to start without paying.
  • You work on Web, iOS, Android.
  • You also want retroactive analytics.
Heap review

Choose Klipfolio if

  • You need pre-built metrics.
  • You want to start without paying.
  • You work on Web, Mobile.
  • You also want real-time data.
Klipfolio review

Questions people ask

Is Heap or Klipfolio better?
Neither clearly leads. Heap starts at Free and Klipfolio at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Heap or Klipfolio?
Heap starts at Free and Klipfolio at Free.
Does Heap or Klipfolio run on more platforms?
Heap runs on Web, iOS, Android. Klipfolio runs on Web, Mobile.
Can I use Heap for free?
Both have a free tier, so you can try either at no cost before committing.
What is Heap best used for?
Heap is most often used for user behavior analysis, conversion optimization, product adoption, customer journey mapping. Of those, user behavior analysis and conversion optimization are not what Klipfolio is typically brought in for.
What can Heap do that Klipfolio cannot?
Heap covers Autocapture, Retroactive analytics, Session replay, Funnel analysis. Klipfolio covers Pre-built Metrics, Real-time Data, Custom Visualizations, Data Modeling. Both handle Salesforce, HubSpot.

Answered from the vendors’ own pages

Heap: What does Heap's autocapture feature do?

Heap's autocapture is a single code snippet that automatically captures every click, swipe, tap, pageview, and form fill on your website and apps without requiring manual event setup. Once installed, Heap captures the entire digital experience of every user on every platform with no ongoing engineering maintenance needed.

Source
Klipfolio: What is Klipfolio's pricing model?

Klipfolio offers two products: Klips (original dashboard builder) starting at $90/month, and PowerMetrics (metrics-focused) with a free plan for up to 3 users and 250 metrics. Both offer 14-day free trials.

Source
Heap: What are Heap's pricing plans and how much do they cost?

Heap offers a Free plan for up to 10,000 monthly sessions. Growth, Pro, and Premier plans use custom session-based pricing that requires contacting sales for a quote. Free includes basic charts and 6 months data history. Growth adds the Sense AI assistant. Pro adds account analytics. Premier adds data warehouse integration and dedicated customer success management.

Source
Klipfolio: How many data sources does Klipfolio support?

Klipfolio connects to over 140 data connectors including databases, APIs, spreadsheets, and SaaS applications for seamless data aggregation.

Source
Heap: Does Heap include session replay and A/B testing?

Heap includes integrated session replay showing exactly what users did on your site. However, Heap does not include built-in A/B testing or feature flags. Teams requiring these capabilities must use separate tools or integrate with third-party platforms.

Source
Klipfolio: Do I need technical skills to use Klipfolio?

Basic dashboard creation uses drag-and-drop interface, but advanced features require Excel-like formulas and some data transformation knowledge. Non-technical users often need developer help for complex visualizations.

Source
Heap: What integrations does Heap support?

Heap supports over 100 integrations connecting to business tools including marketing platforms, CRMs, and data warehouses. This allows insights to reach relevant teams and ensures data flows to other business systems automatically.

Source
Klipfolio: Can Klipfolio replace Tableau?

Klipfolio works better for smaller teams and faster setup, while Tableau offers deeper analysis and visual sophistication. Klipfolio is more cost-effective; Tableau is more powerful for enterprise analytics.

Source
Heap: Does Heap offer self-hosting or is it cloud-only?

Heap is cloud-only and does not offer self-hosted options. Organizations requiring on-premises deployment should consider alternatives like PostHog which supports self-hosting alongside its cloud product.

Source
Klipfolio: Is there a free version of Klipfolio?

PowerMetrics has a free plan supporting 3 users and 250 metric instances. Klips (the dashboard builder) offers a 14-day free trial but no permanent free tier.

Source
Heap: What is Sense and how does it help with analytics?

Sense Chat is Heap's AI assistant that enables users to access analytics without extensive technical knowledge. It allows teams to ask questions about user behavior and get answers directly without lengthy onboarding or technical expertise, making insights more accessible to non-technical stakeholders.

Source
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