Turtl / Demandbase Partnership
Demandbase Buying Stage and Intent Combined with Turtl Personalization and Content Recommendations
Turtl, which describes itself as an ABM and Revenue Content Platform, recently discussed its Demandbase partnership that resolves the problem of matching content to Accounts.
Demandbase supports ABM targeting, identifying which companies in the ICP are in-market, and then Turtl performs the personalization.
“Most ABM programs hit a wall at the content layer. Personalizing assets for hundreds of accounts, matching messaging to buying stage, tailoring by industry or persona – these are the things teams know they should be doing but rarely have the bandwidth for,” blogged Turtl Product Marketing Head Andrea Saez. “Industry, revenue band, tech stack, account tier, buying stage – all of it flows into dynamic fields inside Turtl, producing content that feels built for each account without the manual lift.”
Turtl works with Demandbase to adjust content based on Demandbase’s buying stage, helping content “keep pace” with deal progression and ensuring the messaging remains relevant.
“Relevance isn’t static: An account that was exploring a category last week may be evaluating vendors today,” remarked Saez.
Turtl captures 1,251 behavioral data points per reading session, including time spent per chapter, video views, scroll depth, and poll responses and combines its session data with Demandbase’s intent signals.
“Sales teams can see not just that an account is warming up, but exactly what topics are capturing attention and which individuals within the buying committee are most engaged. This is the kind of clarity that transforms outreach,” continued Saez.
