Tradly MemoryCompare · Product analytics
Heap captures everything. Tradly Memory captures what matters.
Heap's automatic event capture is powerful for retroactive analysis. Tradly Memory keeps the behavioral capture and adds what Heap leaves out: per-visitor intent, customer memory, recommendations, and agent access.
The gap
Auto-capture solves 'what happened', not 'what next'
Heap's pitch is that event tracking is retroactive: define an event today and it's already in your data. The catch is that 'everything' becomes a data swamp that takes a data team to query.
Heap auto-captures interactions — clicks, form fills, page views, rage clicks — so product teams can analyze anything without adding tracking code first. That retroactive flexibility is genuinely useful if you're building features and need to revisit old behavior.
The trade-off shows up once you want to act: Heap tells you what happened to aggregates, not what each visitor intends. It has no customer memory, no native recommendations, and no way to hand a support agent the context of the person in front of them. And at SaaS scale, billed-by-event pricing plus a raw auto-capture flood gets expensive fast.
Head to head
Heap vs. Tradly Memory
| What you get | Heap | Tradly Memory |
|---|---|---|
| Automatic event capture | Yes | Yes |
| Raw data without engineering | Yes | Yes |
| Per-visitor intent profiles | No | Yes |
| Customer memory across sessions | No | Yes |
| Product recommendations | No | Yes |
| Feeds AI agents / MCP | No | Yes |
| Privacy-first tenant isolation | No | Yes |
Where it falls short
Three things Heap can't do for you
1. Turn events into intent
Heap tells you a user clicked, searched, and abandoned. It won't synthesize that into "high purchase intent, compare pricing before checkout" — which is the answer your marketing and support teams actually need.
2. Remember a person
Auto-capture is great at counts and flows. Without customer memory, a returning shopper looks like a first-time visitor to every downstream tool.
3. Hand context to your agents
AI assistants need scoped, per-visitor answers. Heap's event explorer is built for analysts, not for agent queries — there's no MCP surface to ask "who is this visitor and what do they want?"
The difference
An event log vs. a memory layer
Heap: an event log
Millions of raw events, queryable — but only if you can write the query.
Tradly Memory: a memory layer
Events become per-visitor intent you can act on, recommend from, and hand to agents.
Capture everything that matters
Get retroactive-style capture with a memory layer built on it — intent, recommendations, and agent access without the event-log tax.
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