Socialbakers +

EdgeRank Checker

Facebook’s News Feed

Main Facebook experience

1,500 available objects

High competition

We study & analyze the news feed

EdgeRank Checker

Key Study : Organic Reach Decrease

Key Study : Hashtags Impact

● Size

● Category

● Post Frequency

Studying the Influence of the Algorithm

● Historic Engagement Levels

● Historic Reach Levels

● Historic Negative Feedback

● Content Type Distributions

With this data, we can further extrapolate more important information.

What we know about any given Facebook Page:

Studying the Influence of the Algorithm

The input goes into this black box that we'll call "the algorithm," this is our variable X.

Facebook then gives us an output, which is your Insights API data.

We view this as our input.

Input * X = Output

Measure the impact of the algorithm

Use large shifts in the data to analyze changes

Keep track of over time

Studying the Influence of the Algorithm

SB + ERCIn-depth news feed analysis is now available

This approach and logic to the News Feed is now accessible to the Socialbakers family!

The ERC Product

● Actionable Insights

● Deep Learning for Recommendation Engine

● Post Grading

● Negative Feedback Analyzer

Actionable Insights

Deep Learning for Recommendation Engine

Post Grading

Negative Feedback Analyzer

What Does SB Do For ERC?

Significantly Improve Backend

Increase Site Speeds

Ability to Truly Scale

New API Opportunities

The Future

The key is to understand what causes us to interact with a piece

of digital content.

● Facebook’s API provides the richest data set to begin to analyze these tendencies

● Interaction Optimization will become Platform Agnostic

The Future

Q & A@chadwittman