How Datazip Scaled Topmate's Analytics That Drove Customer Engagement

How Datazip Scaled Topmate's Analytics That Drove Customer Engagement

Topmate: A way to monetize the network for the creators.

Topmate enables professionals to handle requests for personal advice or guidance effortlessly by allowing others to initiate a one-on-one interaction while maintaining total control over every aspect of the process.

The idea was to simplify personalized interactions by providing avenues for everyone to share their knowledge and wisdom with their followers. It allowed people to connect with them in the most simplified and seamless manner.

Let's start from the beginning.

What was happening at Topmate?

Topmate offered 1:1 conversations to users to get personalized advice or guidance from professionals. Users initially came into these sessions excited to learn more from experts. They could ask questions toward the end of these sessions and get them answered.

As a result, the Active User Percentage and Number of professionals became essential metrics for Topmate. The Active User Percentage indicates the percentage of users logging into the app and engaging with the experts.

Along with requirements of internal analytics, what team Topmate saw after a couple of months, the experts wanted to see the key metrics of their engagement with their audiences. As a result, Topmate's team had to brainstorm ways to get creators access to their data in the coming days.

One such strategy was to use embedded analytics on the data collected via Mixpanel and Backend (postgres).

Thus, a new product feature was born, albeit with a new challenge.

Challenge: Increasing Active User Percentage and Engagement

While Topmate had found a way to pique user interest and engagement, another challenge loomed. Topmate had to extract data from Mixpanel and combine it with internal data. But, the scalable data platform requirement was a severe problem.

With rate limits on the Mixpanel and the extensive data scale, that too without a platform to unify the data presented an issue. A lack of scalability and reliability in the data pipelines meant some failed while dashboards were getting slow.

As a result, Topmate started seeing a dip in their confidence and visibility of user behavior and engagement metrics.

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They certainly could ask their in-house engineering team to bring reliability and scalability to these data pipelines, but working with a small engineering team meant no time or bandwidth to address this new hurdle.

That's when Topmate decided to try out Datazip.

How Datazip became Topmate's right hand?

Topmate came to Datazip with this real-time challenge. After brainstorming, we worked with the brand to unify the data from multiple sources. Moreover, we added value by streamlining the ongoing process.

Here's how:

  • Datazip provided direct connectors to sources like Mixpanel and Postgres and turned them into reliable data sources.

  • Datazip supplied a managed data warehouse for storing the data from multiple sources, making it a scalable single source of truth.

  • Datazip, with its inbuilt BI, Open APIs, and RBAC, armed the Topmate team with a gateway to access the data from anywhere in their ecosystem.

  • Datazip religiously offered the best support as it was critical for Topmate's team and experts to get visibility on the data.

As a result, Datazip became a single source of truth for Topmate.

Datazip delivered unexpected results!

Datazip was a life saviour for us. Easy to setup, highly scalable and solved all of our data related problems of combining different data sources and analysing them with ease. Kudos to the team.
-Dinesh Singh, Tech @ topmate.io

With a consistent and streamlined understanding of its customer behavior, Topmate saw an uptick in its platform's active user percentage. The factors impacting this included consistency in data pipelines, quick dashboards, and access to data to boost user engagement and value delivery.

Datazip worked with team Topmate on quick turnaround timelines without compromising the quality of deliverables. Team Topmate was immensely pleased with the reliability and scalability of the whole data platform.

Moreover, user understanding from these data sources caused the ripple effect of better product strategy, benefitting Topmate.

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