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Joined November 2021
We use #rlang for all our Data Science/Analysis work. If you want to work with #rstats in a business context and be part of a cutting edge data science product, check out our roles: recast.crew.work/jobs (easy apply with your CV/resume) #hiring #hiringnow #Rjobs
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Our Account Management team is #hiringremote within North America. If you've got early stage experience in account and project management, please apply: recast.crew.work/jobs/636c14…
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Come join us! We're #hiring for multiple roles: recast.crew.work/jobs
2022 has been a wild year in the venture markets. Many people have said that it's one of the worst times to raise venture money they've ever seen. And yet. I'm very stoked to announce that Recast recently closed our seed funding round led by @LererHippeau.
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2022 has been a wild year in the venture markets. Many people have said that it's one of the worst times to raise venture money they've ever seen. And yet. I'm very stoked to announce that Recast recently closed our seed funding round led by @LererHippeau.
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Read this thread for the bull case on @getrecast
Both Facebook and Google tell me that they are pivoting away from attribution modelling towards econometrics for evaluating effectiveness. Potentially, this has big implications.
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We're #hiring for our team! If you love programming in #rlang then check out our Senior Software Engineer and Marketing Data Analyst roles. Apply here - recast.crew.work/jobs
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Recast fixes this
tonight’s rabbit hole: if you spent $100k on ads in july, you can expect new customer revenue in august to be higher than if you spent $0 on ads in july. right? some ppl see in july and don’t buy until august Yet, you attribute your july spend to only ur july cohort CAC
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Anyone know how we can sponsor an @RLadiesGlobal or chapter event? Recast has a ton of #rlang jobs open and we'd love to be able to get involved with that community.
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Sometimes the best attribution is no attribution. In this article for @getrecast, our founder @nickboyce argues the case for anchoring paid media reporting on blended metrics and overlaying platform-attributed conversions to visualise divergences. 👉 buff.ly/3e4Glza
"Invest in durable solutions." Couldn't have said it better ourselves! 2022 is going to be the year marketing measurement really changes -- most won't be ready.
“The amount of user level data available for measurement will continue to decline. Maybe you need to park that identity based strategy for a year and focus on panels, aggregate data modeling and (outcomes). Invest in durable solutions” Dan Taylor, VP, Global Ads, Google #IP2022
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Great info on the Bayesian model from Co-Founder, Michael Kaminsky
At @getrecast people often ask us about what "Bayesian" means and why it's so important for doing marketing mix modeling correctly. Talk of bayes theorem and priors and posteriors might be helpful for statitisticians, but today I'll try to give a more intuitive explanation. 1/7
At @getrecast people often ask us about what "Bayesian" means and why it's so important for doing marketing mix modeling correctly. Talk of bayes theorem and priors and posteriors might be helpful for statitisticians, but today I'll try to give a more intuitive explanation. 1/7
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Check out the Three Pillars of Media Measurement by Co-Founder Thomas Vladeck getrecast.com/the-three-pill…
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