Learn how in the US, WordDive’s CPA dropped from nearly 500€ to under 30€ in only 14 months




Tampere, Finland

Most popular app:


Learn more about Intelligence


WordDive is a language learning app that uses AI to teach spoken English, detecting pronunciation mistakes and providing personalized feedback. With its HQ in Finland, WordDive supports users in the  US, Germany and Sweden. Its mission is to create an outstanding app for learning real-life English language. The app offers material from beginner to advanced levels in English, including content and exercises for writing, reading, listening and speaking.

The Challenge

WordDive’s ultimate goals are to offer a service that allows users to speak real-life English, even in complex situations. With that at the forefront of the company’s purpose, WordDive is also concentrated on achieving profitable growth while scaling. 

The three key targets guiding the business strategy were:

  • Decreasing CPA (cost per acquisition*)
  • Increasing of CLV (customer lifetime value)
  • Identifying the correct markets for growth

The app is a fundamental channel to reach these goals and is, therefore, the primary focus and vehicle for growth. 

In order to achieve these goals, WordDive harnessed Intelligence to better understand the competitive landscape and the wider market, specifically in regards to customer acquisition and product feature comparisons. 

Using Intelligence to guide its strategy, WordDive’s goal was to create a unique customer value for its users by taking its speaking technology from beta to production.

The Solution

Using’s Intelligence platform, WordDive was able to analyze their biggest competitors, the wider language learning industry, along with the behavioral trends of the WordDive app’s users. The team also analyzed other industries. For example, understanding trends in the mobile games sector helped them to understand how users stay engaged in a game, motivated to pursue the next level. Alongside this analysis, the team also experimented with testing advertising and product features.

“Implementing sentence and conversation modes and free trial model contributed enormously to reaching our CPA target.”

WordDive’s marketing, product development and visual design teams regularly rely on Intelligence data.

“While six people on the team use Intelligence weekly, other team members often delve into the insights ad hoc to support strategic decisions with real-time insights. For example, team members might want to know what CRM is getting the best traction in the market.”

The data was exported to excel and compared with analyses of the app’s own insights. Almost all of the metrics available with intelligence - in particular,  revenue and retention estimates, advertising and market sizes - were used by WordDive’s marketing team and shared with wider teams to guide product development decisions. 

The Results

By understanding both industry-specific and wider more holistic trends, WordDive has built a strategic roadmap for the next few years, from 2019 to 2022. Another key finding includes understanding that current market size is not a limit for future growth and evolution. 

“The true winners in the app economy can achieve similar revenue per month that their app’s entire category made in one month the previous year.”

Free trials have proven to be a really successful entry for new users, specifically in the utility app market in the last 2 years.

Since analyzing the customer acquisition and retention strategies of direct competitors and multiple apps from other categories, WordDive subsequently decreased its CPA in the US from 485€ to 28€ in only 14 months  (August 2018 - October 2019). Payment conversion in the US also increased from 0.1% to 6.6 % within the same timeframe. 

*To note: Decreasing CPA refers to the decrease in the cost per acquisition of a paying customer

More Customer Stories


LinkedIn uses App Annie to increase user engagement


Learn how EWORLD uses Intelligence to guide overseas expansion


How etermax leverages to detect new players, monitor genre performance and generate 3x more feature development opportunities