8.9
Spot Score
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Starts from $950/Month, also offers free forever plan
Indicative has resonated positively with users due to its user-friendly drag-and-drop SQL interface, making data analysis a breeze without the need for coding. The presentation of complex data is simplified, easing the analysis process. With features like event segment flow and customizable dashboards, users appreciate the platform's flexibility and intuitive ...Read more
Intuitive drag-and-drop SQL tool for easy analysis of user segments and funnels without coding.
Presentation of data makes complex information less intimidating.
Great flexibility and ease of use, suitable for non-developers.
Powerful tool for creating useful dashboards and metrics.
Falls short compared to other tools like Amplitude in certain aspects.
Limited capabilities in terms of features and customization.
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Showing 41-50 out of 140
AU
Anonymous User
03/08/22
"Indicative focuses on providing easy tools to do inference immediately"
What do you like best about Indicative? Indicative's target users can include business stakeholders in building inference tools. Closer to the people that values the analytic reports.
AU
Anonymous User
03/04/22
"The easiest way to create funnels and analyse data!"
What do you like best about Indicative? It is very easy to create funnels and analyse data in indicative which provides actionables. You can very easily understand user pain points and dropoffs and accordingly it helps us structure our product roadmap. Life saver for PMs
AU
Anonymous User
03/04/22
"The easiest way to create funnels and analyse data!"
What do you like best about Indicative? It is very easy to create funnels and analyse data in indicative which provides actionables. You can very easily understand user pain points and dropoffs and accordingly it helps us structure our product roadmap. Life saver for PMs
AU
Anonymous User
03/03/22
"Great tool that fills a gap in the market, linking open source logging with product analytics"
What do you like best about Indicative? Indicative enables us to use open source logging tooling that avoids vendor lock-in, while providing product analytics that matches the best tools out there.
AU
Anonymous User
03/03/22
"Great tool that fills a gap in the market, linking open source logging with product analytics"
What do you like best about Indicative? Indicative enables us to use open source logging tooling that avoids vendor lock-in, while providing product analytics that matches the best tools out there.
FS
Fabio S
03/03/22
"A versatile tool for product analytics and more"
What do you like best about Indicative? We started to use it at the end of last year, but now, we adopted it in many company areas. The robustness and versatility impressed the data team. It was possible to do even more than we planned.
JB
JK B
11/18/21
"Easier to implement and start understanding data than others"
What do you like best about Indicative? Instant data. It's easy to implement. As a Marketer without developer assistance, it was easy for me to start implementing Indicative via GTM.
JB
JK B
11/18/21
"Easier to implement and start understanding data than others"
What do you like best about Indicative? Instant data. It's easy to implement. As a Marketer without developer assistance, it was easy for me to start implementing Indicative via GTM.
PG
Peter G
11/03/21
"Intuitive, powerful & quick, with a few glitches"
What do you like best about Indicative? Within less than an hour, I could create robust analyses that led to real business insight. The tools were right where I expected them and worked exactly the way I thought they would. It was blazing fast, too -- though we don't yet feed too much information into the app (primarily detailed telemetry and purchase info from ~3000 weekly active users). We have Amplitude and Tableau set up on the same dataset. Still, I don't even touch them anymore unless ...
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AG
Ashwin G
11/02/21
"Unique experience"
What do you like best about Indicative? The funnels are unique, the analytics capabilities are amazing. What do you dislike about Indicative?
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].