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Demand Gen

Demand Gen Report Links AI Results to Contact Data Quality

Demand Gen Report finds AI performance in B2B marketing depends on accurate, complete contact and customer data rather than model sophistication.

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A new report from Demand Gen Report states that AI performance depends less on model sophistication and more on whether underlying contact and customer data is accurate, complete and usable.

Report Findings on Data Readiness

The report titled Clean Data: The Engine Behind Every AI Motion shows that poor first- and third-party data readiness limits AI ROI. Clean data helps marketers sharpen targeting and compound pipeline results. According to Demand Gen Report, organizations with stronger AI-human integration are nearly three times more likely to report measurable ROI from AI initiatives.

Data Quality Statistics

Research cited in the report shows that 71% of marketing leaders rate their organization's ability to use first-party customer data as ineffective or underdeveloped. Another 80% are not yet highly effective at sourcing and integrating third-party data. According to Demand Gen Report, these gaps exist before AI enters the picture.

Report Scope

The report covers the state of data readiness, what a contact means, AI-powered enrichment, and data quality strategies. It states that feeding AI accurate contacts tightens follow-up and compounds pipeline while noisy data produces scaled errors. The report was sponsored by Convertr.

Practical Implications

According to Demand Gen Report, clean data serves as the engine behind every AI motion that moves pipeline rather than back-office cleanup.
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