Sentiment
Scored on the 86 answers that named Acme Analytics. Answers that did not name you are excluded, not counted as neutral.
Sentiment index
75
Positive
58%
Neutral
34%
Negative
8%
Sentiment mix over time
Share of answers naming you that read positive, neutral or negative.
By engine
Warmth differs sharply by engine.
| Engine | Index | Mix |
|---|---|---|
| ChatGPT | 73 | |
| Claude | 73 | |
| Gemini | 73 | |
| Perplexity | 73 | |
| Grok | 73 | |
| Google AI Overviews | 74 |
Warmest mentions (80)
The sentence the engine actually wrote. Your brand highlighted.
Acme 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.
Acme 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.
honest reviews" are Acme Analytics, Northwind, Lumen Stack.
## Options to consider - Acme 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.
Acme 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.
From what's publicly available, Acme Analytics reviews well among teams that already run a data warehouse, and less well among teams that wanted something turnkey.
Nothing negative captured
No answer in the current window described you negatively. That is worth checking again after the next run rather than celebrating.
Worth a look as well: Acme 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.
The tools that come up most often for "tools to measure activation rate for a plg product" are Northwind, Lumen Stack, Acme Analytics.
The tools that come up most often for "how much does product analytics cost per month for 1m events" are Kestrel, Bright Harbor, Acme Analytics.
Acme Analytics — warehouse-native, so it fits teams that already pipe events into BigQuery or Snowflake and want one copy of the truth.