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A/B testing is dead.

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Personalize 1:1 with AI testing

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

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AI is changing how marketers personalize in the banking industry

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3 ways banks can strengthen customer relationships with 1:1 personalization

See how OfferFit helps with lead nurturing in:

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David Edelman explains the five promises of personalization from his new book with Mark Abraham.

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Personalize: an OfferFit webinar with David Edelman

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Onboarding, cross-sell and referral are key opportunities for personalization in credit card marketing.

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Three credit card personalization campaigns to drive engagement and revenue

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Trends in AI personalization in financial services

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AI Decisioning is replacing Next Best Action in financial services marketing

AI-driven personalization in financial services

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AI decisioning agents — not predictive models — provide a continuous feedback loop to determine which decisions drive the best and worst personalized outcomes. 

AI decisioning agents—not predictive models—provide a continuous feedback loop to determine which decisions drive the best and worst personalized outcomes. 

How to pivot from AI predictions to true AI decision-making

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A roundtable with MetLife CMO Michael Roberts, Former Aetna CMO David Edelman, and and former AXA Group CMO Amy Radin.

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AI-driven marketing in financial services: a CMO roundtable

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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. 


Letting the calendar go – why evergreen marketing wins

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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?

Should you add AI Decisioning 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.