OfferFit

We are very excited today here at OfferFit! Welcome Jessica Vogol!! 🚀 🙌

It's the dirty little secret that everybody knows: the tech sector still struggles to diversify its workforce. At OfferFit, we've found that intentional sourcing and structured interviews can make a big difference. Read on to learn the work we've done to build a diverse and inclusive team!

If personalization makes you think "next best offer," you're leaving a lot of value on the table. In our experience, time of send is a significant driver of value in email marketing. For more, see our latest blog post by OfferFit machine learning engineer William Palmer!

Are you still using "next best action?" These models have provided a lot of value over the years, but they are no longer state of the art. To find out more about "next best everything," check out our white paper, or chat with us at CommerceNext!

We are thrilled to announce our webinar with David Edelman and Anthony O'Byrne. Will we see you there? Sign up here: https://lnkd.in/eTReCCF6

We're looking forward to CommerceNext 2024. Will we see you there? #CN2024

Thinking of using reinforcement learning ML to personalize? You're going to need to solve the attribution problem. Our CTO and co-founder Victor Kostyuk explains some of the complications of this thorny problem in our latest post. 👇

Thinking of using reinforcement learning ML to personalize? You're going to need to solve the attribution problem. Our CTO and co-founder Victor Kostyuk explains some of the complications of this thorny problem in our latest post. 👇

Many sophisticated marketers rely on multi-armed bandits, “smart” A/B tests which dynamically redistribute customers as they go. OfferFit CEO George Khachatryan explains their smarter cousins, contextual bandits.

Most marketers would say they are already using AI to personalize -- but the state of the art has shifted. Is your ML out of date?