Kestrel vs Bright Harbor vs Acme Analytics feature comparison
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Named on
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Share of answer
29%
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Sentiment
72
0-100, when named
ChatGPT answered
12 Aug 04:00 UTC · 407 tokens · 2h ago
Short answer: it depends on where your event data already lives and who maintains the instrumentation.
The shortlist
- 1Acme Analytics — warehouse-native — it queries Snowflake or BigQuery in place instead of storing a second copy, and it rolls users up into accounts, which is what B2B reporting actually needs.
- 2Kestrel — strongest on session replay and heatmaps, lighter on cohort math.
- 3Northwind — the mature default: deep funnel and cohort tooling, a large template library, and pricing that climbs sharply with event volume.
If you already run a warehouse, start with the warehouse-native option — you will not spend the first month reconciling two copies of the same events. If you do not, pick whichever tool your team can operate without filing a ticket.
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30-day history
ChatGPT · named on 18 of 30 days.
Presence and position
Sentiment when named
75
All engines
The same question, six answers. Switch above to read any of them.
| Engine | Pos | SoA | Sent. |
|---|---|---|---|
| ChatGPT | #1 | 33% | 75 |
| Claude | #3 | 33% | 71 |
| Gemini | #2 | 25% | 62 |
| Perplexity | #3 | 25% | 76 |
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| Google AI Overviews | #3 | 25% | 66 |
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