Best Identity Resolution Platforms in 2026: Honest Comparison
Comparing Customers.ai, Warmly, Tie, RB2B, LettrLabs, and DirectMail.io across match rates, B2B vs B2C focus, and downstream activation. Where each one fits.
Identity resolution went from a niche category in 2022 to a crowded market in 2026. Six platforms now compete actively, with another half-dozen at the edges. Match rates published across the category cluster at 50–73% on US consumer traffic and 40–80% at the company level on B2B traffic — but the differences in what gets returned and what activation looks like downstream are larger than the headline match rate suggests.
This is the honest comparison of the platforms buyers actually evaluate in 2026.
What “identity resolution” means in this market
A pixel installed on a website collects hashed device and behavioral signals from anonymous visitors. The signals match against an identity graph built from consented data sources. Resolved records return some combination of: name, email, phone, postal address, company (B2B), LinkedIn profile (B2B), and demographic fields. The platform pushes resolved records into downstream activation — email, ads, sales workflows, direct mail.
What differs across providers: who they resolve (B2C vs. B2B), what they return (postal-first vs. email-first vs. profile-first), and where the activation happens (in-platform vs. exported to other tools).
The six platforms buyers evaluate
DirectMail.io
Audience: B2C-focused with B2B coverage. Match rate: 50-60% person-level on US consumer traffic, with full postal identity returned. Returns: Name + verified mailing address + email + phone + ~70 demographic fields. Activation: Direct mail (flagship) + email + SMS + Meta + dynamic QR — same audience, integrated platform, shared attribution. Best fit: B2C marketers running mail or omni-channel campaigns where the resolved postal identity drives mail, and the same audience flows through the digital channels.
See the platform: Identity Resolution solution and Identity Resolution Platform. Compare to the others: vs Customers.ai, vs LettrLabs, vs Warmly, vs Tie, vs RB2B.
Customers.ai
Audience: DTC e-commerce. Match rate: Strong on US Shopify traffic; published numbers vary. Returns: Email-first with postal address as a secondary append. Activation: Email retargeting through Klaviyo, SMS, Meta custom audiences, chat marketing. Best fit: DTC retail brands running email + Meta retargeting through Klaviyo where direct mail isn’t part of the program.
Warmly
Audience: B2B-focused. Match rate: Strong B2B company-level resolution; person-level B2B available with intent signals. Returns: Firmographic identity (company, role, intent), LinkedIn-style profiles. Activation: Sales-stack workflows (Outreach, Salesloft, LinkedIn Sales Nav), live chat + AI chat for resolved B2B visitors. Best fit: B2B SaaS or services companies where the activation is sales-driven (target-account ABM, SDR outreach, AE deal acceleration).
Tie (formerly Revenue Roll)
Audience: DTC e-commerce. Match rate: Up to 73% USA shopper match (highest published in the category). Returns: Email + postal address + behavioral context, with strong DTC-aligned data. Activation: Klaviyo + Shopify integrations, Meta custom audiences, email retargeting. Best fit: DTC retail brands optimizing for the highest possible US shopper match rate with email-first activation.
LettrLabs (LeadReveal)
Audience: Mid-market B2C and B2B mixed. Match rate: Published in the 50–60% range on US consumer traffic. Returns: Postal address + email + demographic fields. Activation: Direct mail (LettrLabs’s core product) + email + Meta integrations. The closest functional analog to DirectMail.io. Best fit: Mid-market businesses choosing a platform that pairs identity resolution with direct mail.
RB2B
Audience: B2B-only, US-only. Match rate: Strong person-level B2B identification on US traffic. Returns: Person identification with LinkedIn profile, title, role. Activation: Real-time Slack alerts + integration with sales tools. Best fit: Early-stage B2B SaaS or services companies with US-only focus, sales-driven activation, and budget constraints (free tier with usage caps available).
Side-by-side: what each platform optimizes for
| Platform | Primary audience | Match rate ceiling | Postal address | Direct mail activation | Sales-stack activation | Free tier |
|---|---|---|---|---|---|---|
| DirectMail.io | B2C + B2B | 50-60% person-level (US consumer) | ✓ verified | ✓ flagship | Via integrations | ✗ |
| Customers.ai | DTC e-comm | Strong USA shopper | ✓ append | Limited | Klaviyo, Meta | ✗ |
| Warmly | B2B | Strong B2B company-level | Limited | ✗ | ✓ flagship | ✗ |
| Tie | DTC e-comm | Up to 73% USA shopper | ✓ append | Limited | Klaviyo, Meta | ✗ |
| LettrLabs | Mid-market B2C/B2B | 50-60% person-level | ✓ verified | ✓ (LeadReveal) | Limited | ✗ |
| RB2B | B2B only | Strong person-level B2B | ✗ | ✗ | Slack + sales tools | ✓ usage caps |
How to evaluate match rates honestly
Three rules from our deeper piece on this topic (What ‘Match Rate’ Actually Means):
1. Demo rates run 3-5× higher than production rates. Vendor demos use pristine test traffic. Real sites have bots, ad-blocked sessions, mobile carrier-rotated IPs. Production rates are always lower.
2. Person-level vs. company-level conflation is the most common deception. A vendor saying “80% match rate” usually means company-level (B2B) or includes blended numbers. Person-level is materially harder. Always ask: “Person-level on US consumer traffic, after bot filtering, in production?”
3. Geography compresses the range fast. US-only rates are highest. Canada/UK/AU drop 15-35%. EU drops to single digits because GDPR consent requirements block most identity resolution use cases. A blended global rate hides this.
The right way to evaluate: run a 30-day pilot on real traffic. Both DirectMail.io and the other top platforms report production match rates per source.
How to pick
Pick by audience first:
- DTC e-commerce → Tie, Customers.ai, or DirectMail.io (depending on whether mail is in the program)
- B2C broader (real estate, healthcare, automotive, financial services, retail) → DirectMail.io or LettrLabs
- B2B sales motion (target-account ABM, SDR outreach) → Warmly or RB2B
- Mid-market mixed → LettrLabs or DirectMail.io
Pick by activation second:
- Mail-driven → DirectMail.io or LettrLabs
- Email-driven through Klaviyo → Tie or Customers.ai
- Sales-driven through Outreach/Salesloft → Warmly or RB2B
- Mixed channels with shared attribution → DirectMail.io
Pick by budget profile third:
- Self-serve early-stage → RB2B (has free tier)
- Mid-market with multichannel → DirectMail.io, LettrLabs, Customers.ai
- Enterprise with sales motion → Warmly
What the category looks like in 2026
The market is fragmenting along audience lines (B2C vs. B2B) and activation lines (mail-driven vs. email-driven vs. sales-driven). The platforms that will consolidate share are the ones that integrate identity resolution with the activation layer rather than treating it as a data product to export. DirectMail.io’s bet is mail + omni-channel; Warmly’s is B2B sales workflows; Tie and Customers.ai’s is DTC email retargeting; RB2B’s is B2B Slack-driven sales motion.
For deeper background on how the category has evolved, see Identity Resolution After the Cookie Reversal, Identity Resolution ROI, and The Identity Resolution Compliance Stack.