Software · head to head
Akita vs Heap
The short version
- Only Heap has a free tier, so it costs nothing to try first.
- Each has a real cost: Akita starts at $49 a month with no free tier, only a 14 day trial; Heap no built-in A/B testing or feature flags; requires integration with separate tools for experimentation
- They diverge on capability: Akita covers Health scores, Heap covers Autocapture.
Where they differ
Only the attributes on which Akita and Heap actually diverge.
Identical on both: user rating (Not yet rated), category (Unknown).
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 Akita
- Health scores
- Customer segments
- Lifecycle stages
- Alerts
- Custom metrics
- Intercom
- Stripe
- Web support
Only in Heap
- Autocapture
- Retroactive analytics
- Session replay
- Funnel analysis
- User segmentation
- Path analysis
- Data science
- Virtual events
Both cover
- Salesforce
- HubSpot
What people use each for
The jobs each tool is most often brought in to do.
Akita
- Centralising customer data and product activity for a customer success teamnot Heap
- Building health scores to flag at-risk accountsnot Heap
- Segmenting customers and triggering automated playbooksnot Heap
- Identifying expansion revenue opportunitiesnot Heap
- Task and workflow management for CSMsnot Heap
Heap
- User behavior analysisnot Akita
- Conversion optimizationnot Akita
- Product adoptionnot Akita
- Customer journey mappingnot Akita
- A/B testing analysisnot Akita
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Akita
- Starts at $49 a month with no free tier, only a 14 day trial
- Tier breakdown above the entry price is not published
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
Pricing, plan by plan
Akita
$160/month- Starter$160/month
- Health scores
- Basic integrations
- Alerts
- Professional$400/month
- Unlimited integrations
- Custom metrics
- API
Heap
Free- FreeFree
- Up to 10,000 monthly sessions
- Basic charts
- 6 months data history
- Growth$null/custom
- Custom session pricing
- Sense AI assistant
- 12 months data history
- Pro$null/custom
- Custom session pricing
- Account analytics
- Engagement matrix
- Premier$null/custom
- Custom session pricing
- Data warehouse integration
- Unlimited projects
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.
Questions people ask
- Is Akita or Heap better?
- Neither clearly leads. Akita starts at $160/month and Heap at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Akita or Heap?
- Heap has a free tier; the other does not. Paid plans start at $160/month for Akita and Free for Heap.
- Does Akita or Heap run on more platforms?
- Akita runs on Web. Heap runs on Web, iOS, Android.
- Can I use Heap for free?
- Yes. Heap has a free tier, so you can try it without paying. Akita starts at $160/month.
- What is Akita best used for?
- Akita is most often used for centralising customer data and product activity for a customer success team, building health scores to flag at-risk accounts, segmenting customers and triggering automated playbooks, identifying expansion revenue opportunities. Of those, centralising customer data and product activity for a customer success team and building health scores to flag at-risk accounts are not what Heap is typically brought in for.
- What can Akita do that Heap cannot?
- Akita covers Health scores, Customer segments, Lifecycle stages, Alerts. Heap covers Autocapture, Retroactive analytics, Session replay, Funnel analysis. 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.
SourceHeap: 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.
SourceHeap: 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.
SourceHeap: 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.
SourceHeap: 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.
SourceHeap: 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.
SourceRelated pages
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