Tradly MemoryCompare · Product analytics
Heap captures everything. Tradly Memory captures what matters.
The gap
Auto-capture solves 'what happened', not 'what next'
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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