Check out the current state of #attribution proposals and how Hybrid Theory measures #marketing effectiveness without leveraging inconsistent models such as "last-click attribution"
Levels of #Burnout are especially present for #IT professionals who are always making themselves available. Leaders can help by making work more meaningful and connecting with employees on a personal level. Thanks, @mserrate! @4enterprisers
https://t.co/o6lfaQQJoF
I really hope that while moving away from 3P cookies we are able to measure what it really matters & not just the last click activity.
Otherwise we will need to rely on techniques such as Marketing Mix Modelling and conversion lift to effectively measure marketing investments
Current state of measurement proposals without 3P cookies in #AdTech:
📈Event-Level Reporting: Associate an ad click with conversion data.
• Safari (Apple) proposed Private-Click-Measurement
• Chrome (Google) has proposed “Event-Level Reports” in their Attribution Reporting API
All of them comes with different trade-offs between privacy & utility. Finding the right balance is what makes it difficult to reach consensus.
Most of them support last touch attribution only, and as we know, aside from not being accurate it generates incentive problems
#ApacheSpark 3.0 greatly simplifies writing Python user-defined functions through type hints, and makes it easier for your functions to process data efficiently in batches via Pandas and Apache Arrow. Check out how to use them: https://t.co/f72BhSpJl6
We are very excited to announce that we have open-sourced Metaflow, our human-friendly Python library for Data Science! We worked together with @awscloud to ensure that the open-source release is easily usable outside @Netflix. Learn more at https://t.co/cSyzVlA9ny
All these datasets have the same statistical properties.
Including the dinosaur.
A reminder to be careful with means, variances and correlations - they can be deceptive.