Research
Research enrichments answer questions the standard B2B datasets cannot. Not “how many employees does this company have” — firmographics already cover that — but “what do they charge”, “who are their customers”, “what are they advertising right now”.
They read public sources directly: a pricing page, an ad library, a YouTube channel, a Yelp listing. Like every enrichment, each one is an Action column that reads an existing column and writes its own.
When to reach for one
Company and person enrichment give you attributes. Research gives you evidence — the specifics you quote back in a first line, or the detail that decides whether an account is worth working at all.
| You want to know | Run |
|---|---|
| What they charge, and how their tiers are structured | Find Pricing Plans |
| Who they already sell to | Find B2B Customers |
| What they are spending on ads, and what the creative says | Find Meta Ads From Page ID, or by search term |
| What they are publishing on video | The YouTube actions |
| Whether a local business is real, and how it is rated | Find Yelp Business Details |
| Who owns a phone number you have | Reverse Phone Lookup |
| Whether a mobile number can take a WhatsApp message | WhatsApp Number Validator |
Two of these do double duty as competitive research. Pricing plans and B2B customers work as well on a competitor as on a prospect.
These actions read public web sources, so coverage depends on what the source actually publishes. A company with no pricing page returns nothing — see What an empty result means.
Every research enrichment
| Enrichment | What it returns | Credits |
|---|---|---|
| Find Pricing Plans | Find pricing plan details from a company’s website including tiers, features, and costs | 1 |
| Find B2B Customers | Find a company’s B2B customers from public sources like case studies and reviews | 1 |
| Find Meta Ads From Page ID | Find active Meta (Facebook/Instagram) ads running from a specific page ID | 1 |
| Find Meta Ads Using Search Terms | Find the Meta Ad Library for ads matching specific keywords or topics | 1 |
| Find YouTube Videos By Query | Search YouTube and retrieve video results matching a keyword or topic | 1 |
| Find YouTube Videos By Channels | Retrieve recent videos published by specific YouTube channels | 1 |
| Find YouTube Video URLs | Collect video URLs from a YouTube channel or playlist | 1 |
| Find YouTube Transcript | Find the full text transcript from any YouTube video URL | 1 |
| Find Yelp Business Details | Find business details, reviews, and ratings from Yelp for any local business | 1 |
| Reverse Phone Lookup | Look up the owner and details associated with a phone number | 1 |
| WhatsApp Number Validator | Check if a phone number is registered on WhatsApp | 1 |
Chaining the YouTube actions
The four YouTube actions are a pipeline, not four alternatives. Each one feeds the next.
- Find videos — by channel if you know whose content you want, by query if you are researching a topic
- Find video URLs — collect the URLs from a channel or playlist
- Find transcript — turn one video URL into full text
The transcript is the useful part. A recorded webinar or conference talk is where someone says what they actually care about, in their own words, which is stronger personalization material than anything in a firmographic record.
Keep research cheap
Research actions cost the same as most other enrichments, but they are the wrong thing to run across a whole table. They are qualification and personalization steps, not list-building steps.
- Build and filter the list with company enrichment first
- Add a signal so you are only researching accounts with a reason to talk now
- Run research on what is left — the shortlist you are going to write to by hand
Use Auto Run trigger columns so each step fires only on rows the previous step filled.
Where to go next
| Next step | Where to go |
|---|---|
| Enrich the account itself | Company Enrichment |
| Get contact details for the right person | Person Enrichment |
| Time the outreach to an event | Signals |
| Build a scraper for a source not covered here | Web scrapers |
| Run the same enrichments from an AI client | MCP tools |