Build vs. Buy: Implementing the Right Experimentation Solution
This resource is published by Optimizely
To build and deliver products that customers love, product teams at leading enterprises such as Uber, Netflix and Airbnb are focusing on experimentation as a critical business process. These teams are empowered to A/B test each new feature and gain valuable insights before rolling it out widely.
After seeing what these companies accomplish with experimentation, you may be considering whether to build your own testing framework, integrate an open source solution, or invest in a commercial experimentation platform like Optimizely Full Stack.
Download this whitepaper to discover:
- The key questions product teams must ask before choosing to build or buy
- The most common requirements that enterprise teams have for experimentation
- How to avoid key mistakes and plan for success when building an internal system
Marketing Analytics , Marketing Technology, Market Research, Marketing Data , Marketing Campaigns, Cross Channel, Customer Data, Market Research, Marketing Insights, Marketing Metrics, Peer Influence, Marketing Strategy, Customer Analytics , Customer Relationship, Consumer Analytics, Data Mining, Digital Marketing , Online Marketing, Data-Driven Marketing , Targeting, Display Advertising , B2B, Marketing Innovation, Collaboration, Adaptation, Technology , Marketing Technology, Modern Marketing, Segmentation