Datazoom vs. Parrot Analytics

The engagement rate will guide you to understand the type of content that the public wants, it helps to understand how the audience accesses the video content, even from what type of devices, uses video KPIs to calculate ROI, a comprehensive picture is presented of what consumers see, interact with and prefer in general.

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

• Hundreds of metrics can be extracted at each step of the video.
• Knowing the view rate of videos will help marketers.

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 CTA can make or break your marketing efforts.
• Overly obvious metrics are just the main problem.

Incentivized

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

Incentivized

It saves you time in an amazing way, They allow you to have the information stored and organized to your liking, You will multiply the possibilities of evaluating the performance, the possibility of exporting the information to share them, The data of the videos helps marketers to generate sales and income, modern company, with good ideas.

Incentivized

• Helps determine the best time and day to post video content.
• The tool provides the functions you need to take advantage of the data.

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