Casual inference/attribution for Instagram API advertising data

I have collected data from various Instagram API endpoints such as Insights API
I wish to measure the effectiveness of organic Instagram Influencer posts for clients. Influencers will be hired for an event, such as a new restaurant opening. Influencers will post about the event, get impressions, likes, comments, etc but there is no direct tie to the effect on the brand/restaurant. Given they are organic posts Facebook does not measure click or view-through attribution, making conversion metrics difficult to analyze. (if we were using paid ads FB has measurement products for conversion events.
I wish to use something like Judea Pearls causal inference to build a model using non-connected data.
Ideally, we will see how all posts for a given campaign performed. We have data for the brand going back 1 year such as impressions, likes, mentions, conversions, etc.
Please have experience with media analytics, and ideally causal inference.
About the recuiter
Member since May 20, 2018
Aidan Swindells
from Sacatepequez, Guatemala

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