A/B testing is dead. Read how AI testing replaces A/B testing for 1:1 personalization.

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Experimentation unleashed

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Ready to make the leap from A/B to AI?

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Evergreen campaigns give marketers two key advantages over a calendared approach. First, letting marketing assets – creative, messaging, subject lines, headers – stay in the rotation longer simply saves time and effort. But there is a more fundamental advantage. The longer a campaign runs, the more time a marketer has to gather data and measure what’s working. That makes it possible for the marketer to run A/B or multivariate to discover what's working best for their global audience, or perhaps for segments. More importantly, evergreen campaigns are a natural fit for continuous automated experimentation. 


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Letting the calendar go – why evergreen marketing wins

See how OfferFit helps with lead nurturing in:

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Marketers chasing the dream 1:1 personalization are wondering if they should rely on the systems they have, or add another product to their stack. After all, most automation platforms – meaning the platform the marketer uses to orchestrate communication with their customers – now offer suites of AI tools. Is it worth adding a dedicated platform for AI personalization?


Is it worth adding a dedicated platform for AI personalization?

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Should you add AI testing to your tech stack?

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"Marketers have realized that AI is real. ML models are going to be more powerful and more impactful than pretty much anyone expected." -- OfferFit CEO George Khachatryan on The Shobeir Show.

George shares his story as a refugee from the Soviet Union, how he became a mathematician & entrepreneur, and how ML is changing marketing today.

George shares his story as a refugee from the Soviet Union, how he became a mathematician & entrepreneur, and how ML is changing marketing today.

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George Khachatryan, OfferFit CEO on the Showbeir Show

The Shobeir Show

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Multivariate testing is faster than A/B testing, but otherwise, it has all the disadvantages of A/B testing: still too slow; doesn’t adapt to changing customer behavior; not personalized to each customer. There’s a radically better way to optimize your marketing campaigns, AI testing using contextual bandits. 

Multivariate testing is faster than A/B testing, but ultimately has the same disadvantages : still too slow; doesn’t adapt to changing customer behavior; not personalized to each customer. There’s a better way: AI testing using contextual bandits. 

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From multivariate testing to AI testing

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The rise of the AI decisioning layer in the composable martech stack

Composability and the 2025 martech stack

The rise of the decisioning layer

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Scott Brinker and George Khachatryan discuss the rise of composability and the decisioning layer in the 2025 martech stack.

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The decisioning layer in the composable martech stack

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At OfferFit, we believe that the strongest team we can build is necessarily a diverse team. We’ve grown significantly in the past two years, and we’ve set the intention of becoming more diverse and inclusive as we grow.

At OfferFit, we believe that the strongest team we can build is necessarily a diverse team.

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Using AI Decisioning for 1:1 personalization

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