FAQ
What exactly does DataPoint do?
DataPoint helps B2B companies generate real sales conversations. We do this by
building highly accurate, custom B2B contact databases and running direct, human-like
outreach campaigns that feel as if they were sent by your own sales team.
Who gets the most value from DataPoint?
Best fit:
- Exporters and importers
- Manufacturers and producers
- Enterprise, SaaS, and B2B service companies that prioritize relevance, precision,
and direct sales conversations
Not ideal for:
- Mass-market products or services that depend on scale, impressions, or broad
brand exposure
What do you actually deliver?
Custom B2B databases
- Built from scratch for each project—no reused lists
- ~95%+ relevancy and valid contact details at delivery
- Time-stamped and GDPR-compliant
- Data fields aligned exactly to your sales process
Direct outreach campaigns
- True direct-to-inbox delivery (no spam or promotions tabs)
- Natural, channel-appropriate messaging we help you shape
- Sent in your company’s name, from your own inboxes
Integrated, ongoing solutions
- Recurring database expansion paired with structured follow-up outreach
- Replies handled based on your needs (forwarding, basic responses, qualification)
- Every interaction indexed back into your database for future use
How is your data built—and how reliable is it?
Our process
Target definition → custom scraping from public sources → enrichment → validation →
final database
Data quality
Thanks to multi-layer enrichment and validation, we deliver ~95%+ relevancy and
validity (compared to 40–65% from generic list providers). Invalid contacts are filtered
out through verification, bounce testing, and quality checks before delivery.
Compliance
We work exclusively with public or consented sources and follow GDPR requirements
throughout the process.
Which channels do you use, and how do you avoid spam issues?
Channels we support
- X / Twitter DMs
- Instagram DMs
- Telegram (on request)
Deliverability-first approach
Campaigns are fully customizable. Before launch, we test inbox placement to ensure
messages land where they should.
Typical sequence example:
1st email → wait 5–7 days → follow-up email (reply to original) → LinkedIn connection
→ short DM once accepted
This approach maximizes responses while minimizing spam flags and negative
feedback.
What results should I realistically expect?
Results depend on targeting and campaign structure. For sales-focused campaigns with
precise targeting and 1–2 follow-ups, typical reply rates are:
- Exporters / importers, producers: 10–14% reply rate
- SaaS, enterprise tech, B2B services: 8–12% reply rate
These are real replies—questions, interest, and conversations—not just opens.
How is DataPoint different from scrapers, mass tools, or agencies?
Scrapers & list sellers
- 40–65% valid data on average
- No time-stamping or opt-out handling
- High risk of wasted outreach
DataPoint
- Custom-built lists for every engagement
- ~95%+ verified validity
- Time-stamped, compliant, and ready for sales use
Mass email tools
- Built for volume, not precision
- Low reply rates
- Best for brand awareness, not deal creation
Agencies (ads, PR, content)
- Excellent for visibility and education
- Weak for direct acquisition and outbound sales
DataPoint
- High read and reply rates
- Direct inbox delivery
- Human-written, natural messaging sent from real inboxes to protect sender
reputation
Why does this matter for ROI?
Better data = less waste
With 50% validity, you effectively pay twice for usable contacts and risk negative brand
feedback. With 95%+ validity, nearly every contact is usable—saving time, money, and
reputation.
Higher reply rates multiply returns
Mass tools typically generate 1–5% replies, locking contacts for months and increasing
fatigue risk. Consistent 12%+ reply rates dramatically improve sales efficiency.
Simple ROI model
ROI ≈ (Contacts × Reply % × Close % × Deal value) − Project costs
Example: 500 targeted contacts × 15% reply rate × 11% close rate ≈ 8 closed deals
How do we start, what does it cost, and what’s next?
Getting started is simple
Just contact us
Process:
Target definition → free sample (20–30 contacts) and/or campaign proposal →
execution
Typical pricing
- Databases: €0.40–€2.60 per verified contact (based on niche and geography)
- Outreach: €0.60–€1.90 per sent message (or monthly retainer)
After the campaign
You receive a clear performance report with insights, learnings, and recommendations
for scaling or optimization.
