This is an excellent, short introduction to the changes Facebook has made to lookalike audience generation. The big benefit is that they’ve added real functionality to make the creation of tiered lookalikes (ex: 0-1%, 1-3%, 4-5% etc) much faster.
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Mobile Apps Unlocked 2016
Mobile Apps Unlocked (MAU) is Grow.co’s flagship mobile summit, a two day acquisition and retention retreat that brings together a powerhouse group of professionals who not only have deep experience in mobile growth marketing, but share compelling, actionable content both on and off the stage. In this, our third year, we are excited to build on the growth of our community and bring you a lineup of excellent speakers, attendees and sponsors.View Event →
Mobile Apps Unlocked 2016 // New York City
For the past three years, Grow.co has brought together together the leaders in mobile acquisition and retention for Mobile Apps Unlocked—a two day summit in Las Vegas where we share awesome content and actionable insights that can help you accelerate your mobile growth.
Thanks to the incredible response and growth in attendance, we're adding two new MAU events for 2016 in New York and San Francisco!View Event →
This post is old news (published Nov 13) but it was the best summary of some of the latest Apple search algo tweaks I could find. For those not buried in these data on a daily basis, the basic gist here is that search results are becoming more extensive, more relevant, and less tied to such an extreme as KWs in app titles and predefined KW lists.
Google announced this week that content that appears only in app is now being indexed and can appear in search results whereas previously they were only indexing app content that also had a web content equivalent. Right now this in place for a select group of partners. They’ve also introduced a mechanism for a user to “stream” an app without actually requiring a download at all. If you want to read Google’s official post on this you can check it out here.
Product & Design
This is a pretty interesting post from an analyst at TransferWise explaining some of their organizational design/team structure for analysts. Long story short—they’ve found success in embedding analysts into each team (ex: performance marketing) versus having a separate BI team. Fair warning, this reads a bit like a recruiting ad for TransferWise but it is still pretty interesting.
Facebook recently made some relatively significant changes to the bidding and optimization options for ad sets. To some extent these are definitional changes and are meant to just be easier to understand but there are some actual potentially meaningful implications here that could be tested. For example, in this post Jon discusses A/B testing optimizing for link clinks while being charged for impressions VS. optimizing for link clicks while being charged for clicks (he found the former to be slightly more efficient in his testing).
Robbie Richards, a reasonably well known figure in the SEO world, wrote this excellent case study on his SEO strategy + implementation for a site focused on the drone space. I highly, highly recommend you check this out if you are looking for SEO inspiration. I particularly appreciate how direct/simple his approach is… effective KW research which leads to focused content creation which leads to link building efforts. Really great stuff.