IBM identifies 3x accounts with Demandbase One Personalization in US Open campaign
IBM's ABM program needed a scalable way to identify engagement from top accounts and route that intelligence to sales; without Demandbase the team would have been performing that work manually.
IBM identified over 9500 accounts engaged with the US Open campaign — 3x the number from similar campaigns in prior years — and identified almost 200 top accounts, double the prior-year figure, with that data sent to sales alongside recommended follow-up actions.
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Frequently asked questions
What did this team achieve with this AI workflow?
IBM identified over 9500 accounts engaged with the US Open campaign — 3x the number from similar campaigns in prior years — and identified almost 200 top accounts, double the prior-year figure, with that data sent to…
What tools did this team use?
Demandbase, Demandbase One, Personalization.
What results were reported?
Accounts identified vs previous year: 3x; Top accounts identified vs previous year: 2x; total accounts identified in US Open campaign: 9500+; top accounts identified in US Open campaign: almost 200 (source-reported, not independently verified).
How is this marketing ops AI workflow structured?
US Open campaign launched → Account identification at scale → Top account segmentation → Intent-based sales handoff → Personalized journeys created.