The 2026 Intent Data Buyer’s Guide

Choosing an intent data vendor is a $100K+ annual decision that affects pipeline quality, sales velocity, and marketing ROI. Yet most evaluations focus on surface-level demos and pricing rather than the structural differences that determine whether the data actually works. This guide provides a 7-step framework for evaluating intent data vendors, focused on the questions that separate signal from noise.

Step 1: Resolution Depth. Who Are You Actually Identifying?

The single most important question in any intent evaluation: does this vendor tell you which company is interested, or which person is interested?

Account-level intent (Bombora, G2, TechTarget) identifies companies. Persona-overlay intent (6sense, Demandbase) layers modeled contacts onto account signals. Person-level intent (Delivr.ai) resolves each signal to a known individual with full PII.

Ask: "For every intent signal you deliver, what identity fields are attached?" If the answer is "company name and domain," you are buying account-level data. If the answer is "name, email, title, company, and phone," you are buying person-level data. This distinction drives every downstream metric.

Step 2: Signal Methodology. How Is Intent Captured?

Intent signals come from different sources with different quality profiles:

• Publisher co-op data is broad but contextual. It captures content consumption across publisher networks but typically resolves only to company, not person.
• Editorial/opted-in data (e.g., TechTarget) is high-quality but narrow. Limited to one vendor's publications.
• Bid-stream data is massive-scale but noisy. Requires significant filtering to extract B2B signals.
• Multi-source/AI-resolved data (e.g., Delivr.ai) combines multiple input types and resolves through an identity graph to a known person.

Ask: "What percentage of your intent signals come from each source type? How do you handle signal deduplication across sources?"

Step 3: Topic Taxonomy. How Granular Is the Classification?

A vendor's topic taxonomy determines how precisely you can target. Bombora offers ~17,000 topics. Delivr.ai offers 52,000+ with daily updates. Some vendors offer as few as 1,000.

But count alone is not enough. Ask: "How are new topics added? What is the update frequency? Can I create custom topics?" Daily taxonomy updates mean you can target emerging categories within 24 hours. Quarterly updates mean you miss fast-moving markets.

Step 4: Scoring Methodology. What Does the Score Actually Mean?

Most vendors deliver intent as a binary "surging / not surging" flag or a low/medium/high bucket. This forces teams into broad segmentation.

Delivr.ai's V2 model delivers a 0–100 precision score that measures behavioral anomaly for each individual, plus a trend indicator (up, down, static). This gives teams 100 points of granularity instead of 3 buckets, and the ability to act on momentum, not just current state.

Ask: "Is your intent score relative to other accounts, or relative to this person's own baseline? Do you provide a directional trend indicator?"

Step 5: Activation Surface. How Do You Act on the Data?

Intent data is only as valuable as your ability to act on it. Evaluate the full activation surface:

• CRM/MAP integration: Can signals flow directly into Salesforce, HubSpot, or Marketo?
• Programmatic activation: Does the vendor offer a built-in DSP or require a separate platform?
• Sales alerts: Can intent trigger real-time notifications to SDRs?
• Email/direct mail: Can resolved contacts be activated through outbound channels?
• CTV/audio: Can you reach resolved individuals on connected TV and streaming?

Delivr.ai's built-in DSP, powered by premium supply partners (SOVRN, Index Exchange, PubMatic), activates intent within the same platform: no data handoff, no latency. Most competitors require you to export data to a separate DSP or ad platform.

Step 6: Data Ownership. Who Owns What You Pay For?

This is the question vendors least want to answer. In many cases, the intent data you purchase is licensed, not owned. You cannot store it, enrich it, or reactivate it after the contract ends.

Ask: "After I receive the data, can I store it in my data warehouse indefinitely? Can I use it for modeling and analytics beyond the contracted use case? What happens to my data if I cancel?"

Delivr.ai delivers full PII that customers own. There is no data escrow, no usage restrictions beyond standard compliance, and no clawback at contract end.

Step 7: Compliance Posture. How Is Person-Level Intent Data Collected Legally?

Person-level intent data raises legitimate compliance questions. The right vendor should be able to explain their consent framework clearly.

Ask: "What is the legal basis for collecting and sharing person-level behavioral data? How do you handle CCPA opt-outs and GDPR data subject requests? Do you maintain a consent management platform?"

Delivr.ai operates under a proprietary consent framework with opt-out mechanisms for CCPA, GDPR, and state-level privacy laws. All data is collected from consented sources: publisher networks, registration data, and authenticated touchpoints.

The Evaluation Scorecard

When comparing vendors, weight these dimensions in order of impact:

• Resolution depth (40% weight): person-level vs. account-level determines all downstream ROI.
• Signal methodology (20%): multi-source outperforms single-source on coverage and accuracy.
• Activation surface (15%): built-in activation eliminates vendor sprawl and latency.
• Topic granularity (10%): more topics with faster updates means more precise targeting.
• Scoring model (10%): precision scoring outperforms binary surge on every operational metric.
• Data ownership (5%): owned data compounds in value; licensed data does not.