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Keeping Up With the Kardashians, or Building Disjoint Audiences on Facebook

This post begins with a simple question: to what extent do the Facebook fans of Kim, Kourtney, and Khloe Kardashian overlap, and to what extent are they disjoint?

Below is a simple Venn diagram of the size of each sister’s fan base on Facebook.

 

 

As you can see, Kim is the moderately more popular sister, and users are far more likely to be fans of all of the sisters than any single pair of them.… Read More »

Most Valuable Zynga Gamers Play Multiple Games


How is a “Like” Different from Real Usage Behavior? XA.net conducted an analysis of Zynga users using both public and our own proprietary data sources.  We split our analysis into two parts: engaged, high-value users who actively post from Zynga applications, and users who have simple ‘Liked’ Zynga applications.    In the graphic above, we show the likelihood of a user posting from or liking an app or page given that such user has posted from or liked Cityville.  Note the tendency of Zynga’s audience to divide their attention among multiple Zynga franchises.  The contrasting scale of each analysis—stronger similarities in the ‘Like’ column to the right, and lower similarities among the high-value users in the left column—indicates an important dynamic in Facebook object engagement.  It is very easy to express affinity for a brand, application, or page, and audiences built by looking simply at such affinity tend show significant overlap.  Engaged, high-value users, on the other hand, are more particular about the Facebook objects with which they engage and less likely to dilute their attention among diverse, potentially competitive franchises.… Read More »

Manage All Your Ads in One Dashboard

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  • Customize and sort by any metric
  • Preview, pause or adjust ads instantly, all on 1 screen

 

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Proprietary Audience Analysis

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  • Deep insights (geo, affinities, etc) into any fan base, delivered via our exclusive SocialPredict™ engine
  • Target your competitors’ fans and customers based on likes & interests
  • Reach undiscovered, less expensive and scalable audiences

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Auto Bid Optimization

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  • Set performance goals (cost-per-conversion, per-fan, per-install)
  • optim.al constantly adjusts your bids across multiple ad campaigns, based on your goals
  • Under-performing ads are automatically paused based on performance thresholds you define

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Dynamic Keyword Insertion

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  • Automatically create unique sets of ads that reference individual targeting items in the copy or the URL
  • Insert multiple keywords for every target in your ad campaign

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Precise Targeting Options

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  • Full integration with Facebook’s precise interest, topic-level, and broad category targeting
  • optim.al’s exclusive SocialPredict™ database expands upon Facebook’s precise interest suggestions

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Dayparting & Hourly Reporting

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  • Hourly reports show your campaigns’ most effective times of day and days of the week
  • optim.al automatically pauses and restarts your ads at these ideal intervals, increasing spend on the best performing days


 … Read More »

Proprietary Audience Analysis

Deep insights (geo, affinities, etc) into any fan base, delivered via our exclusive SocialPredict™ engine

Target your competitors’ fans and customers based on likes & interests

Reach undiscovered, less expensive and scalable audiences

 … Read More »

Dynamic Keyword Insertion

Automatically create unique sets of ads that reference individual targeting items in the copy or the URL

Insert multiple keywords for every target in your ad campaign

 … Read More »