Predictive modeling and attribute-based segmentation for prioritizing the prospects most likely to become sales opportunities.
Two modeling approaches do the heavy lifting. Conquest look-alike models find new prospects who resemble your best customers; in-market prospect models find the ones showing buying signals now.
Layer on attribute-based segmentation — profile-based, behavior-based and persona-based — and a long list becomes a prioritized one: the right accounts, in the right order, for sales to work.
NextGen series
Decision-maker turnover quietly degrades your data — and your results. A competitive job market makes list hygiene a standing job.
Read the article →
People tell you how they think; results come from how they behave. Four places research goes wrong — people, question, framework, expectations.
Read the article →
The most compelling offer ever still misses if the titles are wrong. Three words explain it: functional title data.
Read the article →
Why building your list is better than buying one — the case in a single infographic-led argument.
Read the article →
Organically built lists perform better: in one head-to-head drip campaign, opens and clicks ran as much as 150% higher than a compiled list.
Read the article →
Martech grew from 150 platforms in 2011 to more than 3,500 in 2016 — and many teams are drowning in the data. Start with the contact list.
Read the article →
A robust data strategy is the essential foundation — aligned to business goals, built on quality data, and ready for AI.
Read the article →