The average marketer spends 10+ hours per week aggregating data from all their cross-channel campaigns. Improvado.io has set out to change that. This ground-breaking tool allows marketers to aggregate all their data into a single point of truth, in real time-- Saving organizations time and money, and making marketers smarter. They already have over 80+ integrations with every marketing channel you can imagine: 1. Facebook 2. Adwords 3. Linkedin 4. Pinterest 5. Snapchat 6. Google Analytics 7. Adwords 8. Outbrain 9. Taboola 10. Adroll 11. Yahoo 12. Twitter 13. Stripe 14. Mixpanel 15. Intercom 16. Mailchimp 17. Shopify 18. Marketo 19.Appsflyer and so many more...
A great article by Matt Gershoff that covers risk, reward, opportunity costs, and just generally interesting thoughts on experimentation. Basically, "if you just want to pick between A and B, do you really need to run standard significance tests at a 90% or 95% confidence levels?" Short answer, no. The article covers the logic as well as math behind why (and when) to just "go-with-it" (maybe even flipping a coin). Why is this article (and approach) helpful? Because it can help with what type of approach to take based on the problem.
Data science is the field of applying advanced mathematical and statistical techniques to large sets of data to uncover insights that can improve the performance of different parts of a business. Data science is used in growth to uncover commonalities between types of users that are either successful or unsuccessful with a product. Marketers and growth teams use data science findings to improve the performance of their product, user acquisition funnel, user retention and more. These are the best articles on how to use data science to grow your business. From how to analyze data using R, pandas for Python, regression, model building, SQL and more, you'll learn how to apply data science concepts to growth.
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