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Casual inference/attribution for Instagram API advertising data - Posted By Museb Akbani on Sep 5, 2021

Posted at - Sep 5, 2021

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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 Pearl's 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 recuiterMember since Mar 14, 2020 Museb Akbani
from Tamil Nadu, India

Skills & Expertise Required

Data Science Data Modeling Analytics 

Candidate shortlisted and hiredHiring open till - Oct 5, 2021

Work from Anywhere
40 hrs / week
Hourly Type
Remote Job
$19.33
Cost

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