Kantar Research Services vs. Parrot Analytics

Really relevant for testing new product launches with customers. Often NPD fails to find the sweet spot of differentiation and impact (commercial or customer impact) and having the insights to test along the journey makes teams more agile and more motivated to trial new things without sinking over cost where you move from a concept to reality. Also helpful for studying different types of marketing impacts for longer-term campaigns on customer perceptions which are important measures of success beyond the commercial.

Incentivized

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.

Incentivized

• There studies provide brand insights in the most particular way.
• They also help in media planning & measuring their effectiveness.
• Helps in building brands.

Incentivized

• In-depth Demand Analytics of core features.
• Proper recommendations of features.
• Popularity tracking of the core data that we have and mapping with users.

Incentivized

• The platform can be confusing to navigate at times; UX could be simplified.
• Ability to utilize more competitive datasets would be helpful.
• Sometimes takes a while to return data and build out full insights.

Incentivized

• Audience behaviour dataset can be improved.
• Demand tracking for features can have more metrics to get even more granular.

Incentivized

Easy to use, better pricing, deeper understanding.

Incentivized

• From my position, it's having a positive impact on the people involved in planning customer-led projects - more innovation that is bolder, more confidence we are focussing on the right areas, less time trying to sign things off or dissect where things went wrong, or convincing leadership teams to keep the the testing.

Incentivized

• 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%.

Incentivized