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Indicative - Web Analytics Software

Indicative Reviews in September 2026: User Ratings, Pros & Cons

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4.38

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Indicative Reviews & Ratings

4.38

Very Good

Based on 120 ratings & 140 reviews

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Rating Distribution

Excellent

(88)

Very Good

(48)

Good

(2)

Poor

(2)

Terrible

(0)

Spotsaas Editor’s POV

Indicative's drag-and-drop SQL interface lets non-technical users build queries without coding, and the platform simplifies complex data visualization through customizable dashboards and event segment flows. However, query performance can lag on large datasets—verify response times with your actual data volume during a demo. The platform excels at user behavior ...Read more

Indicative pros and cons

  • Simple drag-and-drop SQL tool for 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.

  • Effective 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 131-140 out of 140

UI

User in Computer Games

09/13/17

4.5 out of 5

"Affordable and practical solution"

What do you like best? The customer service. Everyone I have interacted with has been super helpful, even if it's not the answer I want to hear

AU

Anonymous User

09/13/17

4.5 out of 5

"Affordable and practical solution"

What do you like best about Indicative? The customer service. Everyone I have interacted with has been super helpful, even if it's not the answer I want to hear What do you dislike about Indicative?

RS

Rihards S

09/12/17

5 out of 5

"Fastest tool for quick data analysis"

What do you like best about Indicative? Speed of metrics, similar queries in our redshift database take a lot longer. Ability to see all the properties to segment by and quickly build queries without writing sql. Funnel charts are beutiful and no other app can do them more elegantly.

AU

Anonymous User

09/06/17

3.5 out of 5

"Digital Marketing Manager"

What do you like best about Indicative? Mobile attribution, visual way of using queries, ease of use, chart options, segmentation options What do you dislike about Indicative?

AU

Anonymous User

09/06/17

5 out of 5

"Intuitive way to analyze your data flow"

What do you like best about Indicative? I love how easy it is to visually set up a funnel. As a visual person, I can more quickly analyze possible funnel alternatives quickly. I actually look forward to setting up funnels and testing out different hypotheses.

UD

Undīne D

09/06/17

3.5 out of 5

"Easy to compare metrics "

What do you like best about Indicative? How simple the process is to see data and how the data can be visualistes What do you dislike about Indicative?

AU

Anonymous User

09/06/17

5 out of 5

"I love how easy it is to quickly get insights"

What do you like best about Indicative? I love that it feels like putting a simple Excel formula or SQL query together. It's very approachable without much technical knowledge. It takes very little time to teach a colleague how to start leveraging Indicative.

UI

User in Internet

09/06/17

5 out of 5

"I love how easy it is to quickly get insights"

What do you like best? I love that it feels like putting a simple Excel formula or SQL query together. It's very approachable without much technical knowledge. It takes very little time to teach a colleague how to start leveraging Indicative.

UI

User in Internet

09/06/17

3.5 out of 5

"Digital Marketing Manager"

What do you like best? Mobile attribution, visual way of using queries, ease of use, chart options, segmentation options

UI

User in E-Learning

09/06/17

5 out of 5

"Intuitive way to analyze your data flow"

What do you like best? I love how easy it is to visually set up a funnel. As a visual person, I can more quickly analyze possible funnel alternatives quickly. I actually look forward to setting up funnels and testing out different hypotheses.

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].