Delivr.ai
Identity resolution vendor focused on recognizing anonymous website visitors and enriching them for retargeting and outbound.
Publishes a widely-cited identity-resolution vendor landscape; smaller challenger in visitor identification.
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Ranked by reviewed relationship first, then by the capabilities they share with Delivr.ai.
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Delivr.ai Pros & Cons
Key strengths and limitations to consider, drafted by an AI model from public sources
Strengths
- Uses deterministic matching instead of probabilistic fingerprinting
- Resolves visitors to person and company records
- Offers API access with batch lookup support
- Charges only for matched or returned records
- Supports person-level intent scoring
Limitations
- Identity graph is primarily optimized for US traffic
- Resolution is weaker with Safari and iOS cookie restrictions
- Native marketing and CRM integrations are limited
- SOC 2 Type 2 certification is still in progress
- Most operational workflows require technical implementation
Ideal For
Who benefits most from Delivr.ai, drafted by an AI model from public sources
Quick Analysis
Delivr.ai operates in the B2B identity resolution and person-level intent-data market. Its core product uses a first-party pixel and hashed-email-centered identity graph to resolve website visitors and enrich events with person and company attributes, then scores individuals against more than 52,000 intent topics. It is closer to an identity and intent data infrastructure service than a conventional CDP, MAP, or account-based marketing suite.
Its main strengths are deterministic matching, API-first delivery, person-level rather than account-only intent, and usage-based access to resolution and audience data. The product is a fit for B2B agencies, data providers, publishers, and platforms that need to embed identity resolution or export audiences without building an identity graph. Compared with 6sense and Demandbase, Delivr.ai is narrower and more composable; compared with Clearbit Reveal, it emphasizes person-level intent and activation rather than primarily firmographic visitor identification; compared with Warmly, it offers more infrastructure and batch/API-oriented workflows but less sales engagement functionality.
Buyers should evaluate Delivr.ai when deterministic identity quality, developer access, and person-level intent matter more than a broad account-based marketing suite. Validate US traffic coverage, resolution rates by browser and geography, consent and data provenance, deletion propagation, identifier availability for activation, and the operational fit of its exports and DelivrDSP integration. Teams seeking mature orchestration, CRM workflows, or broad native integrations should also assess 6sense, Demandbase, and Clearbit before committing.
B2B agencies identifying anonymous visitors across client websites for account targeting
Marketing platforms embedding deterministic person resolution into their own products
Demand-generation teams building audiences from visitors showing rising topic intent
Publishers enriching first-party content events with known professional profiles
Ad teams exporting high-intent people to a DSP for programmatic prospecting
Revenue operations teams delivering daily high-intent visitor files to sales workflows
Capabilities
Core Capabilities
Also Supports
Pricing
Model
usage based
Starting Price
$6.00 per 1,000 resolutions (HEM only, first 10,000/month)
A free dev key works against sample data, with free previews and dry runs; production resolutions are billed.
Checked and not offered
6 capabilities that other identity resolution tools are built around, which Delivr.ai does not appear to cover. Each was checked against Delivr.ai's own documentation in three separate AI passes, and only a majority verdict is recorded — the count is on each row.
A gap is not a fault — a product that does one job well is a reasonable thing to buy. It is only expensive when you find out after signing.
Documentation index checked for a governed consumer-data marketplace
Checked: https://docs.delivr.ai/· 3 of 3 passes agreed it is absent
Documentation index checked for multi-touch attribution and media mix modeling
Checked: https://docs.delivr.ai/· 3 of 3 passes agreed it is absent
Documentation index checked for agent builder and orchestration
Checked: https://docs.delivr.ai/· 3 of 3 passes agreed it is absent
Documentation index checked for MCP, agent SDK, and function-calling interfaces
Checked: https://docs.delivr.ai/· 2 of 3 passes agreed it is absent
Documentation index checked for autonomous AI agents
Checked: https://docs.delivr.ai/· 3 of 3 passes agreed it is absent
Documentation index checked for an in-product AI assistant or copilot
Checked: https://docs.delivr.ai/· 3 of 3 passes agreed it is absent
Read from public documentation, and documentation lags shipping. If you work at Delivr.ai and this is out of date, and we will record the correction against your name.
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