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Most of them surface on the first send, when the bounce report comes back.
Pre-built databases sort accounts by standard industry codes and headcount bands. Your best-fit customers often sit in a narrower slice, so reps spend the first week filtering out accounts that never belonged on the list.
A shelf database is refreshed on the vendor's schedule. Some contacts changed roles months before the file reached you, and the first campaign absorbs the bounces.
A list can run to thousands of records and still hold one contact, or none, inside the target accounts your team cares about most. Reps end up mapping the buying group by hand.
When a vendor cannot explain its sourcing, the data is hard to defend in a compliance review and harder to trust in a live campaign. The risk stays with the team that bought it.
From a defined ICP to a database your team can work from on day one
A campaign is only as targeted as the list behind it. Start from someone else’s database and you inherit their definition of a good account, along with whatever decay has built up since their last refresh.
Datamatics Business Solutions builds B2B databases from scratch, scoped to the industries, roles, geographies and company sizes that match your ideal customer profile. AI-led discovery finds the accounts and contacts, analysts verify every record, and the finished dataset arrives formatted for your CRM so your team can start outreach as soon as it lands.
Each build is scoped with your team before sourcing begins, so the database reflects the market you actually sell into.
Companies selected by industry, company size, revenue, location and other segmentation attributes agreed during scoping. Each account comes with firmographic and technographic fields, so reps know what a company does and the technology it runs on.
Every record is deduplicated, standardized into a consistent format and mapped to your CRM fields, so the file imports cleanly and outreach can start right away.
The AI engine handles discovery at scale. Human analysts verify every record it finds.
Your team and ours define the target accounts, roles, regions, industries and segmentation attributes before sourcing begins.
AI, proprietary sources and research models identify the accounts and contacts that match your ICP.
Each record is built out with firmographic and technographic fields, decision-maker hierarchy, location and other key details.
Analysts validate every contact for accuracy, relevance and compliance, confirming details against company websites, LinkedIn and other trusted sources and checking GDPR and CCPA requirements.
Datasets ship CRM-ready and set up for the motion you are running, whether that is ABM, outbound or demand generation.
From the first scoping call to a verified, campaign-ready dataset, see how a custom build comes together in under five minutes.
Databases built around the accounts you sell to and the people who sign off on the deal.
Verified performance across enterprise, mid-market and global accounts.
Perspectives on ICP definition, prospect data and database strategy from the DBSL team.
Ashish Gupta
James Libera
James Libera
James Libera
Rembert Pereira
Rembert Pereira
James Libera
Rembert Pereira
Data building creates a net-new database of accounts and contacts that match a company’s ideal customer profile. Each record is sourced and verified for that specific market rather than filtered out of a pre-built list.
Pricing depends on data volume, the number of target roles and geographies, and the depth of fields required. Talk to our team for a quote built around your requirements.
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