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One of the best for demand analytics
July 26, 2022

One of the best for demand analytics

Tejas Rane | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Parrot Analytics

In our product Affiliate Corner, we wanted to have in-depth analytics of user behaviour. Wanted to see how the demand is faring as per the features we have built. This was a particularly important aspect as we wanted the metrics to present it for potential fundraising. We were looking for a demand analytics tool and came across Parrot Analytics. This was the tool, that perfectly fit our use cases at a whole new level. We were able to capture a lot of data that could really unlock a whole new level of monetization and insights we could have never thought about.
  • In-depth Demand Analytics of core features.
  • Proper recommendations of features.
  • Popularity tracking of the core data that we have and mapping with users.
  • Audience behaviour dataset can be improved.
  • Demand tracking for features can have more metrics to get even more granular.
  • Data analysis of users that uses our core features
  • Discovering new trends and insights that we never knew before
  • We were able to capture data metrics by almost 25% more as compared to another analytics tool we previously used.
  • Recommendations of new data grew by at least 15%.

Do you think Parrot Analytics delivers good value for the price?

Yes

Are you happy with Parrot Analytics's feature set?

Yes

Did Parrot Analytics live up to sales and marketing promises?

Yes

Did implementation of Parrot Analytics go as expected?

Yes

Would you buy Parrot Analytics again?

Yes

It is well suited for products where there are a lot of users at scale performing and interacting with the platform. Also where businesses need to take informed decisions based on mass users performing actions at scale. Therefore demand analytics tools like Parrot can be a real boon for such businesses. It is less appropriate for those who are not having users at that scale. Scale is very important I believe and analytics can be even more powerful once we have a lot of data on our hands.