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See how ITILITE used Tapistro to unify intent data, de-anonymize website visitors, and automate personalized multi-channel outreach, increasing meetings by 20%.

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ITILITE, a leading Travel, Expense, and Payments platform in the US, needed a way to integrate prospect data across touchpoints like organic, direct, and referral to maximize GTM efficiency and strengthen campaigns.
The aim was to activate intent captured from the website and review site pages: shortlist target accounts using pre-defined criteria, identify personas by carefully selected job titles and geographies, and make personalized pitches by industry and prospect use case, turning more traffic into qualified opportunities through smarter orchestration.
At the same time, ITILITE's SDR team was running cold outbound to contacts from various sources, and manual processes made it difficult to scale those efforts.
Partnering with Tapistro complemented ITILITE's existing approach, deepening their multi-signal, multi-channel automated outreach.
Tapistro uncovered and prioritized anonymous website visitors, combining account-level signals with person-level data to identify high-intent accounts and build richer profiles.
Account intent from ITILITE's existing channels (Direct, Referral) was unified, filtered by ICP, and turned into dynamic profiles, creating one buyer journey across channels.
Behavioral intent factors such as page visits, employee size, and job titles were scored across channels, giving the SDR team a daily, prioritized outreach list.
Tapistro's AI agents classified and micro-segmented accounts, surfacing niche segments that traditional databases misclassify and cutting wasted effort on poor-fit leads.
Automated outreach ran across email, LinkedIn messages, phone calls, and LinkedIn Ads, boosting conversions and improving recall and open rates.
"With Tapistro, we enhanced our 360-degree marketing strategy by integrating multi-channel signals into one unified flow. The ability to experiment with new intent signals and align our ICP in one place allowed us to improve overall GTM efficiency."