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The 8 Layers of B2B Data

B2B data breaks into 8 distinct layers, each with specialized providers: TAM mapping (Apollo.io, AI Ark, DiscoLike), lookalikes (CompanyEnrich), local business data (Openmart), people enrichment waterfalls (FullEnrich, Prospeo, BlitzAPI), buying signals (PredictLeads, TheirStack), technographics (BuiltWith, TheirStack, Sumble), and live web discovery (Exa, Limadata, Serper). Missing a layer creates a specific blind spot, from undercounted markets to unreachable contacts to late timing. The eighth layer is orchestration: the ColdIQ API Marketplace integrates 40+ providers under one API key so teams can waterfall across every layer and swap providers without code changes.

Michel Lieben
Michel Lieben
JUL 22 2026
The 8 Layers of B2B Data

We integrated 40+ providers to build the ColdIQ API.

The process taught us how B2B data breaks down in practice. Buyers talk about "data" as one thing, but the work splits into 8 distinct layers, and each layer has its own specialized providers.

Miss a layer and your outbound inherits a blind spot. You undercount your market, or you build a list you can't reach, or your email lands weeks after the buying moment passed.

Here are the 8 layers, the providers behind each, and how they combine into one workflow you can run through Claude Code.

1. TAM Mapping

Providers: Apollo.io, AI Ark, DiscoLike.

This is where your list starts. TAM mapping answers the questions that decide whether a campaign is worth running: who exists in your category, how big the market is, and how many people you can expect to reach.

Apollo.io covers the broad B2B company and contact database. AI Ark and DiscoLike extend coverage into segments where standard industry filters fall short, surfacing companies by what they do rather than by the label a database assigned them.

We size the market at this layer before writing a single email. If the addressable list comes back too small, the campaign dies here instead of wasting a month of sending.

2. Lookalikes

Provider: CompanyEnrich.

Feed it your best-fit accounts and it returns ranked similar companies through the API. Tight lists come from here.

This layer works because your closed-won customers encode your real ICP better than any filter combination. Similarity expansion from a seed set of proven accounts surfaces fits that an industry-and-headcount filter would never find.

We built a free mini tool on the same mechanic. You can find companies similar to your best customers to scale your pipeline:

Lookalike Finder Tool

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3. Local

Provider: Openmart.

Mainstream databases go thin below mid-market. Restaurants, clinics, contractors, gyms, local agencies: the businesses that dominate SMB selling barely register in the standard B2B databases.

Openmart fills that gap with local business data. If you sell to SMBs, this is the layer everyone else skips, which makes it an advantage for the teams that use it.

4. People Enrichment

Providers: FullEnrich, Prospeo, BlitzAPI.

Emails, mobiles, and profile resolution. Company data tells you who to target. This layer tells you how to reach them.

The reason you need three providers instead of one: no single source has complete coverage, and single-source contact data leaves a large share of your list unreachable.

Running a waterfall across FullEnrich, Prospeo, and BlitzAPI means one provider's miss becomes the next provider's catch.

The same waterfall mechanic powers our free email tool. You can find verified email addresses for your target accounts here, for free:

Email Finder Tool

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5. Signals

Providers: PredictLeads, TheirStack.

Funding rounds, hiring spikes, leadership changes. This layer marks the shift from "find leads" to "find leads showing intent right now."

A company that just raised, just hired a new VP of Sales, or just posted five SDR openings has budget and urgency that a static list can never show you.

PredictLeads and TheirStack surface those events as structured data you can filter and trigger on.

6. Technographic

Providers: BuiltWith, TheirStack, Sumble.

Each provider reads a different surface. BuiltWith reads the website itself, so you get the tracking pixel, which means you know what provider they used to build it.

TheirStack reads job postings, where engineers name the tools they use internally. Sumble rounds out coverage where the other two miss.

Knowing a company's stack changes the message you send. A team running your competitor's product gets a different email than a team running nothing at all.

If you want to know what tools and technologies a company is already using, you can check here:

Tech Stack Finder Tool

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7. Discovery

Providers: Exa, Limadata, Serper.

When the company is too new or too niche to be in any database yet, you search the live web at scale instead.

Exa runs semantic search over the web, Serper gives you programmatic access to search results, and Limadata combines search with enrichment.

Together they catch the long tail that every database misses by definition, because databases only contain what has already been indexed.

8. Orchestration: One API Key

Provider: the ColdIQ API Marketplace.

We integrated all 17 tools above, plus 22 more. 40+ providers, under one API key.

What that unlocks:

→ Waterfall across every layer instead of betting on a single provider

→ Swap providers without touching your code

→ Stop maintaining eight separate integrations, keys, and billing relationships

This is the infrastructure behind the unified API we announced. The full context on what we are building and why is in We're Launching a Unified API for GTM.

Before wiring any of this together, it helps to know which layers your current motion is missing. Our GTM report analyzes your company and shows where your approach stands.

If you want to understand where your GTM motion stands today, see below how your current approach compares to these specialized models:

GTM Report Tool

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Michel Lieben
Michel Lieben
Founder, CEO

Michel Lieben is the Founder & CEO of ColdIQ, a B2B sales prospecting agency trusted by 100+ organizations. He’s launched hundreds of outbound campaigns, mastered tools like Clay and Lemlist, and shares sharp, actionable insights on scaling sales with AI, automation, and strategy.

FAQ

The 8 layers are TAM mapping, lookalikes, local business data, people enrichment, buying signals, technographics, live web discovery, and orchestration. TAM mapping sizes your market with providers like Apollo.io, AI Ark, and DiscoLike. Lookalikes expand from your best accounts through CompanyEnrich, local data comes from Openmart, and people enrichment runs as a waterfall across FullEnrich, Prospeo, and BlitzAPI. Signals arrive through PredictLeads and TheirStack, technographics through BuiltWith, TheirStack, and Sumble, and discovery through Exa, Limadata, and Serper. Orchestration is the layer that combines all of them, which is what the ColdIQ API Marketplace does under a single API key.

No single provider has complete coverage, and each layer of B2B data has different specialists. A broad database can map your TAM but goes thin on SMBs and local businesses, a contact provider strong in one region misses another, and no static database catches companies too new to be indexed. Relying on one source leaves a large share of your list unreachable or invisible. The fix is a waterfall: query one provider, and when it misses, the next one picks it up automatically. That approach applies to contact data, company data, and signals alike, and it is the reason the ColdIQ API integrates 40+ providers instead of reselling one.

A unified API puts many data providers behind a single key and a single integration, so your code or your AI agent calls one endpoint instead of maintaining separate connections to every vendor. The ColdIQ API Marketplace integrates 40+ providers spanning TAM mapping, lookalikes, local data, enrichment, signals, technographics, and web discovery. The practical benefits are waterfalling across providers for better coverage, swapping a provider without touching your code, and dropping the overhead of separate keys, contracts, and billing relationships. It is built to be the data layer for agent-driven GTM workflows, including ones that run entirely through Claude Code.

Technographic providers read different public surfaces and each catches things the others miss. BuiltWith scans the company's website, which reveals tracking pixels, scripts, and the platforms behind the site itself. TheirStack reads job postings, where engineers routinely name the databases, frameworks, and internal tools the company runs, surfacing technology that never appears on the website. Sumble rounds out coverage across additional sources. Combining all three gives a fuller stack picture, which changes your outreach: a company running a competitor's product needs a displacement message, while a company running nothing needs an education message.

Buying signals are observable events that indicate a company is likely to purchase soon: a funding round, a hiring spike, a leadership change, or a batch of new job openings for a specific function. Providers like PredictLeads and TheirStack deliver these events as structured data you can filter and trigger campaigns on. The value is timing, because a company that just raised or just hired a new VP of Sales has budget and urgency that a static list cannot show. Signal-based targeting shifts outbound from finding leads that fit your profile to finding leads that fit your profile and are in motion right now.

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