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Writer's pictureSlashData Team

Understanding how developers engage with authentication services

Updated: Nov 14

The challenge

The Product Strategy and Pricing team of a leading identity management provider was looking to improve their product strategy in a way that included a price structure to attract wider audiences, increase competitiveness, and grow conversions from free to paid tiers. 


The approach

SlashData worked closely with the Client to understand their research objectives, and designed a 25-question survey that best answered the Client’s business questions. Then, SlashData gathered responses from 300+ developers with experience in utilising authentication APIs in their applications. The respondents were sourced through SlashData’s own developer community, as well as through vetted third-party survey panels. The sample collected covered the geographies and specific developer profiles requested by the Client. 


The result

The data collected from SlashData’s survey answered the Client's key questions: 

  • What use cases are developers targeting with competitive authentication services?

  • What features led them to choose their primary solution?

  • What would make them move to another offering?

  • How important are free plans to authentication service users?

  • What would make them switch from a free to a paid authentication API tier?


As a result, the Client was able to identify key features vs competitors and gained a better understanding of how developers interact with authentication services. 


Why SlashData?

SlashData, acting as a full-service market research partner, helped the Client go from a high-level research brief to actual data that provided answers to critical business questions in just 30 days. Tapping into its own developer community and selected third-party sample providers, SlashData distributed an online survey that reached respondents who precisely matched the Client’s target audience. The survey was hosted on SlashData’s proprietary survey platform, which enables in-depth data cleansing through the advanced metadata it collects.


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