Industries · Technology · SaaS · Hardware · IT services · Developer tools

Technology, from the companies on your site last night to an ABM engine fed by API.

A seed-stage SaaS wants to know which companies read the pricing page. A public software company wants every account in its territory plan scored on technographics, intent and the people inside, refreshed nightly into Salesforce. The business graph, 120M companies with the people in them, each linked to a consumer record, serves both.

Book a free demo Start at rung one

Every phone number is checked for line type and status and every email against its mailbox before a rep sees it.

120M companies with size, revenue band, industry, tech stack and job-change flags, and the people in them with title, seniority and department.
Daily intent on 65K topics, including software categories, vendor names and the problems buyers search before they know the category.
Each business person links to a consumer record, so the same buyer can be reached at work, at home and as a hashed audience.

Website ID · Last night · 212 companies · 48 people identified

CompanyNorthwind Logistics · 850 employeesTech: Salesforce, Snowflake, OktaRead pricing twice

PeopleVP Operations · validated emailDirector of IT · phone checked2 more

IntentIdentity resolution vendorCDP migrationYour competitor by name

PushedHubSpot · 212 companiesSlack alert · 14 hotMeta · 61% matched

Send to HubSpotAlert the ownerBuild the audience

240M+US adults in the graph

120Mbusinesses, with the people in them

2Tintent signals read a day

400+attributes on a person

What the graph holds for technology

The fields a revenue team needs on every account.

Four of the sixteen bundles, picked for this industry. See everything in the graph →

Business person & company120M businesses, and the people in themSize, revenue band, industry, tech stack, LinkedIn, title, seniority, department and job-change flags, linked to the consumer record behind each person.Open this table in the data dictionary → Intent & linkagesWhat they research, and how the keys joinDaily scores on software categories, vendor names and the problems that precede a purchase, at the company and at the person.Open this table in the data dictionary → EmailsEvery address, hashed and plainWork and personal addresses with validation status, plus SHA-256 hashes for ad-platform matching.Open this table in the data dictionary → PhonesChecked before you see themDirect dials and mobiles with line type, carrier, do-not-call status and a quality score.Open this table in the data dictionary →

The ladder · simplest to largest

Five rungs, from a pixel on the pricing page to the graph in the revenue warehouse.

Technology companies climb fastest because the systems are already there. A seed-stage team reaches rung three in a quarter; a public company usually arrives asking for rung four and buys rung five.

Rung 1 · Day one

A startup, a bootstrapped SaaS, an IT services shop with one person doing marketing and sales

See which companies read the pricing page, and who there to call.

The Website ID tag shows, by the next morning, the companies on your site with size, industry and tech stack, and, with the people turned on, the visitors themselves with validated work email and phone. Open any of them in the Chrome extension from their website or LinkedIn page and see everyone who works there, with roles.

Install the Website ID tag; five minutes.
Read the first week: which companies read pricing, docs and integrations pages, and how many times.
Open the best ones in the Chrome extension and build the first list of people to contact, phones and emails already checked.

Website ID Chrome extension B2B Data

Rung 2 · First month

A Series A to C company with SDRs, a paid budget and a CRM

Run outbound and paid from the same list, and stop advertising to customers.

B2B Data builds the target account list: companies by size, industry, tech stack and this week's intent on your category, with the buying committee inside, every phone and email validated. Ad Audiences pushes the same people, hashed, to LinkedIn, Meta and Google, so the SDR's sequence and the ads reach the same buyer. Smart Exclusion keeps customers and open opportunities out of the paid spend.

Build the account list in B2B Data: firmographics, technographics, intent, then the people by title and department.
Push the people to the ad platforms through Ad Audiences; match rate per platform shows first.
Load customers and open pipeline into Smart Exclusion; excluded everywhere, refreshed as deals close.

B2B Data Ad Audiences Smart Exclusion

Rung 3 · First quarter

A company with a RevOps function, Salesforce or HubSpot, and more than one segment

Enrich every account and contact, and let intent re-prioritize the pipeline weekly.

Enrich fills every account and contact in the CRM with firmographics, technographics, titles and validated contact fields, written back through Integrations. Pulse watches the account list, the closed-lost file and the customer base for the week an account starts researching your category, your competitors or the adjacent product you sell, and routes it to the owner.

Enrich accounts and contacts with Enrich; the match rate shows first and only matched fields count.
Put target accounts, closed-lost and customers on Pulse; weekly, who is in market for what.
Route alerts through Integrations to owners, SDR queues and the expansion team; score by fit and heat.

Enrich Pulse B2B Data

Rung 4 · First year

A company with a data team, a warehouse and territory plans

Model fit and timing, and run a feed on your category and your competitors by name.

Export identified Website ID visitors and enriched accounts with their fields, join them to opportunities and closed-won, and fit a fit-and-timing model in the warehouse. Score every account in the territory plan nightly by API. Scope a Custom Intent Feeds feed on your category terms, your product names, the competitors you lose to and the integrations buyers search for; it lands in the app, by API, in S3 or as a hashed audience, and an agent can run the whole loop through the MCP server.

Train on outcomes: tech stack, company size band, topic recency and page depth usually carry most of the signal.
Score nightly by API; push scores to the CRM and seed the ad platforms from the top decile.
Build the Custom Intent Feeds feed to a written scope: category, product names, competitors, integrations.

Custom Intent Feeds Website ID Enrich Ad Audiences

Rung 5 · At scale

A public company, a platform with a partner ecosystem, a data business of its own

License the graph by API at volume, into the warehouse, or under your own brand.

Enterprise licenses the business and consumer graph itself: the API at volume for product features, scheduled delivery to the revenue warehouse, identity resolution across products and acquired companies, the Clean Room for partner matching, and white-label delivery if your product resells data. Audiences stream to The Trade Desk integration and other DSPs for programmatic and CTV. A proof of concept on your own CRM comes first.

Proof of concept: your CRM against the graph, match rate and coverage reported before any contract.
API at volume for in-product enrichment and routing; warehouse delivery for modeling and measurement.
Identity resolution across acquired companies and product lines; clean-room matching with partners.

Enterprise Custom Intent Feeds Ad Audiences Agency DaaS

What technology teams use it for

What SaaS, hardware and IT services teams run on the graph.

Who read the pricing page

Companies and people on the site last night with firmographics, tech stack and validated contact fields, routed to the owner.

Website ID

Target account lists with the buying committee

Companies by size, industry, tech stack and intent, with the people by title and department, every phone and email validated.

B2B Data Chrome extension

Outbound and paid on the same list

The buying committee as a hashed audience on LinkedIn, Meta and Google while the SDRs sequence them.

Ad Audiences B2B Data

Customer and pipeline suppression

Customers and open opportunities excluded from every paid platform, refreshed as deals close.

Smart Exclusion

Closed-lost resurrection

Lost accounts watched weekly for the moment they research the category again.

Pulse

Expansion signals

Customers researching the adjacent product you sell, routed to the account team.

Pulse Enrich

Competitor displacement feeds

Companies researching a named competitor, or the migration away from it, delivered nightly by API.

Custom Intent Feeds

Technographic campaigns

Every company on a specific platform, warehouse or CRM, with the people who run it.

B2B Data Ad Audiences

Fit-and-timing modeling

A model trained on opportunities and closed-won, scored nightly across the territory plan.

Enrich Website ID

Events and field marketing

Companies in a metro by size and tech stack with the people to invite, phones checked.

B2B Data Direct Mail

In-product enrichment by API

The graph inside your own product: enrich, route and score at request time.

Enterprise

Agencies and resellers

Every product under your brand, one sub-account per client.

Agency DaaS

Use it right

Validated, consented where it must be, and never scraped.

What applies when the buyer sells to businesses. Your counsel decides; this is how the data behaves.

Validation you can see. Every email is checked against its mailbox and every phone for line type and status before you see it; a contact that fails validation is dropped and never counted.
No scraping. The Chrome extension reads the company or person named on the page you are viewing and looks it up in DataMoon's own graph. Nothing is copied from LinkedIn.
Calling and texting. Phones carry do-not-call flags and line types. TCPA and state rules on autodialing and texting apply to your outreach; CAN-SPAM applies to email.
Privacy laws. CCPA and the state laws that followed it give people rights you must honor in your CRM; DataMoon honors opt-outs across every product and on every refresh.
International. Company data is global. Person-level validation and the consumer linkage are US only, and GDPR-territory contacts need your own lawful basis.

Questions

Questions a revenue team asks first.

How is this different from the contact databases we already pay for?

Three ways. Every phone and email is validated before you see it and a failed one never counts. Each business person links to a consumer record, so the same buyer can be reached at work, at home and as a hashed ad audience. And intent is read daily on 65K topics, scoped to your category and competitors if you want a feed.

Will the pixel identify people or only companies?

Both. Companies show by default; with the people turned on, the visitors themselves show with title, validated email and phone, deterministic and probabilistic matches marked separately.

Can intent be scoped to our competitors by name?

Yes. A Custom Intent Feed is built to a written scope: category terms, your product names, competitors, integrations. It is live within days of the scoping call.

Does it write back to Salesforce and HubSpot?

Yes, through the integrations: enrichment fields, scores and alerts land on the account and contact records you already have, and GoHighLevel is supported for agencies.

What does an enterprise engagement look like?

A proof of concept on your CRM first, then the API at volume, scheduled warehouse delivery, identity resolution across products and acquisitions, and clean-room matching with partners, on an annual contract.

Other industries

The same graph, a different ladder.

Manufacturing Marketing Agencies Telecommunications Financial Services All industries

Book a free demo

Bring your website and your top competitor. We identify last night's visitors on the call.

Thirty minutes: the tag on your site, the first companies and people identified with validated contact fields, an intent count on your category and your competitor, and the next rung written down.

Book a free demo See how it works

Thirty minutes, live on your own data. A person who knows the products and this industry runs the call. By continuing you accept the DataMoon terms.