Data & compliance
Where Tamtam's data comes from, how it filters out noise, and how we handle GDPR and regulatory signals.
Are you GDPR-compliant? Where is the data hosted?
Yes, we're fully GDPR-compliant. Data is hosted in the EU, with a DPA available on request, and we only use public and semi-public data: the same sources a rep could check by hand, gathered and structured at scale. Nothing in your lead lists comes from scraped private inboxes or grey-market dumps. A sovereign EU cloud offering is on our roadmap for regulated buyers who need it.
How fresh is the data, and how do you avoid stale contacts?
Stale data is the single biggest complaint with database tools, where roughly a third of B2B records decay every year and you only find out after a bounce or a dead dial. Tamtam doesn't sit on a static database. Lists refresh as new signals fire, contacts are cross-checked across 18+ providers at reveal time rather than served from a months-old cache, and a job change on a champion surfaces as a signal instead of quietly rotting in your CRM. So the list your rep works this week reflects this week, not whenever the database was last bought.
What email and phone accuracy can we expect?
Every contact is cross-checked across 18+ providers in a waterfall, so a record one source has wrong or missing gets caught by the next. That's how we hold 90% email deliverability and direct mobiles, well above the 60-70% that single-source tools deliver in real-world testing. The waterfall matters more than any headline number: one source's gap is another's match, which is why coverage and accuracy stay high even outside the obvious US tech accounts.
Do you cover continental Europe and non-English markets well?
Yes, and this is where most US-built databases go blind. ZoomInfo, Apollo and Lusha all see accuracy drop sharply outside the US, UK and Germany. Tamtam reads company data semantically rather than relying on English-only taxonomies, the data is hosted in the EU and fully GDPR-compliant, and the buying triggers are learned from your won deals rather than a fixed US-centric model. So a French, Italian or Nordic ICP is a configuration step, not a coverage gap.
Our event searches are full of agencies. Can you filter them out?
It's the first thing every event client asks us, and it is exactly what lead-list quality comes down to. Tamtam reads company descriptions semantically, not just job titles or SIC codes, so it understands what a company actually does and excludes agencies and intermediaries automatically. You can tune the exclusion rules to your own definition of a real buyer. The result is a list your team can work straight through, instead of one they spend half their time cleaning.
Our cyber prospect lists are full of MSPs and resellers. Can you filter them out?
This is the first thing every cyber client asks, and it is where list quality is won or lost. Tamtam reads company descriptions semantically, not just NAICS or SIC codes, so it can tell a security vendor's end customer from an MSP, reseller or consultancy, and excludes the intermediaries automatically. You set where the line sits between a buyer and a channel partner. Your reps only see direct-buyer accounts, which is what keeps the list worth working.
How do you handle compliance signals like NIS2, DORA, CMMC?
Compliance deadlines are buying triggers, so Tamtam treats them like any other signal. It maps each account to its regulatory exposure, jurisdiction, industry and revenue thresholds, then flags the ones entering their 6 to 12 month buying window before the deadline forces a decision. You can pull the list of NIS2-exposed entities in France for Q4, or CMMC tier-2 defense subcontractors due in 2026, on demand. Each account arrives with the trigger attached, so your rep leads with the deadline that is actually driving the conversation.