Data Services
Lists that are actually callable, mailable and true
An unenriched list is a rumor. We append verified emails, direct dials, current titles and firmographics — human-checked, not just API-splashed — so your outbound starts with truth.
Overview
Data enrichment at Aadhya
Data enrichment appends the fields that make a record actionable: verified work email, direct/mobile dial, current title and seniority, company size, industry, tech stack and LinkedIn URL. We blend tool-sourcing (Apollo-class databases) with human verification — because databases average 30% decay and your bounce rate remembers.
Enrichment powers our own appointment-setting pods, which keeps the desk honest: bad numbers waste our callers’ hours too. Best run after a clean — fix, then fill.
At a glance
- Fields
- Email, direct dial, title, firmographics, tech stack, LinkedIn
- Verification
- SMTP checks + human validation on samples
- Deliverability
- 95%+ on verified-email tiers
- List building
- Net-new ICP lists, not just appends
- Sources
- Licensed databases + public web, ToS-respectful
- Pricing
- Per enriched record, tiered by fields
What you get
Built for accountability, not activity
- Verified-email tier: SMTP-validated addresses with a 95%+ deliverability commitment — bounces above threshold are re-worked free.
- Direct-dial sourcing: the field that separates real enrichment from CSV decoration; human-verified on B2B tiers.
- Net-new list building: give us an ICP (titles × industry × size × geo) and get a built, verified list — the input our own SDR pods run on.
- Current-title verification: people move; LinkedIn cross-checks catch the 20% whose database titles are stale.
- Source transparency: every appended field carries its source and check date.
How it starts
- Spec
- Fields, tiers and acceptance thresholds agreed (e.g. ≥90% email coverage at ≥95% validity).
- Sample
- 100 records enriched free — judge coverage and accuracy on your ICP, not our claims.
- Run
- Batches delivered on schedule with per-field coverage stats.
- Guarantee
- Bounce/wrong-number rates above threshold trigger free rework.
Pricing shape
How this service is priced
Exact rates live on the pricing page — published, because serious buyers filter on it.
- Per record — standard
- Email + title + firmographics.
- Per record — verified
- Adds SMTP validation + human checks + dials.
- List building
- Net-new ICP lists, per delivered record.
Fit check
Built for some teams. Wrong for others.
Honest scoping saves both sides a month. This desk fits when:
- Outbound teams whose connect rates reveal their list quality
- RevOps building ICP lists for territories and campaigns
- Agencies reselling verified lists inside client engagements
Probably the wrong desk if: Consumer (B2C) contact sourcing — different rules, not our desk; EU-heavy lists without a lawful-basis plan on your side; Anyone expecting 100% coverage — physics and privacy both object.
The Aadhya way
Enrichment vendors are graded on the invoice; lists are graded on the phone. Because our own SDR pods dial the lists this desk builds, the feedback loop is internal and merciless — a wrong number wastes our caller’s hour before it wastes yours. That alignment is the quality system.
Questions buyers ask
Standard appends from ~$0.15–$0.30/record; verified tiers with dials $0.40–$0.90 depending on ICP difficulty. The free 100-record sample fixes your exact rate. See pricing.
Apollo is one of our sources — raw. Databases decay ~30%/year; we layer SMTP verification, LinkedIn cross-checks and human sampling on top, and we guarantee thresholds. You are buying accuracy accountability, not database access.
95%+ on the verified-email tier, in writing; bounce-rate breaches trigger free rework of the affected batch. Standard tier carries coverage stats but no validity guarantee — priced accordingly.
Yes — direct and mobile numbers on the verified tier, human-checked on samples. Coverage varies honestly by geo and seniority (US mid-market ~60–75%; EU lower for privacy reasons), and your sample shows the real number before you commit.
We source from licensed databases and public professional data, flag EU records for your lawful-basis handling, and exclude any geo you tell us to. Your outreach compliance remains yours; the data trail we hand over supports it.
Yes — titles × industry × headcount × geo × tech-stack in, built-and-verified list out. This is exactly the input we build for our own sales pods, so the spec process is battle-tested.
Samples in 2–3 days; production batches of 1–5k records typically inside a week; larger volumes on a scheduled cadence.
Firmographics (size, revenue band, industry), technographics (stack detection), funding signals, hiring signals and social URLs — priced per field group in the spec.
Either: enriched files for your import, or direct field-writes in HubSpot/Salesforce on least-privilege access with a change-log per record.
Verified at delivery time, not at database time: SMTP checks run in the delivery batch and title checks reference current LinkedIn. Decay then starts immediately (people move constantly), which is why re-verification passes on aging segments are cheap and offered on a schedule.
They come back flagged, not billed at full rate — the coverage stats per batch show hits, partials and misses. Vendors billing 100% on 60% coverage are the industry norm; the flagging is why we are not.
Next step
Start with a pilot, not a contract.
Describe the queue, the list or the workload. You get a written pilot plan and a fixed quote within 48 hours — and the pilot itself proves us before you commit to anything longer.