Flexential identifies buying intent and launches smart ad campaigns with 6sense
Flexential lacked comprehensive, aggregated insights into account behavior and buying intent, making it difficult to prioritize which accounts to pursue and to quantify marketing results without relying on manual processes.
Flexential's existing MarTech stack provided some account activity and intent insights but lacked a predictive prioritization model, and account-level visibility still required manual work to translate into a plan of action.
With the same advertising budget, Flexential achieved a 5x increase in messages served to their target audience and a 3x increase in accounts reached within their ICP, while hot accounts prioritized by Marketing contributed to 187% more pipeline than cold opportunities.
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Frequently asked questions
What did this team achieve with this AI workflow?
With the same advertising budget, Flexential achieved a 5x increase in messages served to their target audience and a 3x increase in accounts reached within their ICP, while hot accounts prioritized by Marketing contr…
What tools did this team use?
6sense.
What results were reported?
Messages served to target audience: 5x increase; accounts reached within ICP: 3x increase; Pipeline from hot vs cold accounts: 187%; Advertising budget change: same exact advertising budget (source-reported, not independently verified).
What failed first in this deployment?
Flexential's existing MarTech stack provided some account activity and intent insights but lacked a predictive prioritization model, and account-level visibility still required manual work to translate into a plan of…
How is this marketing ops AI workflow structured?
ICP identification per product line → Intent signal detection → Buying stage classification → Dynamic advertising execution → Sales team alignment.