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Leads with phones and work emails, built to your profile.

Describe who you sell to. 8x finds the companies and people, up to three phones and a work email each, and screens every number before it's dialed.

See how it works
Example list built by 8x for Larkfield's Q4 fintech campaign. The target profile, VPs of Sales at US fintechs with 20 to 200 staff that are hiring SDRs, matches 1,240 people at 312 companies. The list fills in step by step: the companies and why now, then the people, then phones and work emails, then a do-not-call registry check. It ends with 200 leads, 188 with a phone and 6 held back because they're on the registry, among them Jordan Lee at Globex, Elena Ruiz at Acme and Grace Kim at Brightwater, who is held back. The leads go into the campaign, shared with Sam, Priya and Dev.

Screened before the first dial.

Every number is checked against the national do-not-call registry at import and again before each dial. A number on the registry is held back and never dialed.

Example do-not-call screening for the Q4 fintech list. At import, each number is checked against the national do-not-call registry: Jordan Lee, Elena Ruiz, Nina Patel and Tom Becker come back clear, and Grace Kim at Brightwater is on the registry, so she is held back. Across the list, 194 numbers are clear and 6 are held back. Before each dial the numbers are checked again: Jordan Lee is still clear and Sam's line dials him, while Grace Kim is never dialed.

Ranked by pickup chance.

Rank your list and every number gets a pickup score from 0 to 100. Each lead's likeliest number is tried first, and the leads most likely to pick up move to the top. You confirm before anything is spent.

Example pickup ranking for the Q4 fintech list. In import order, five leads carry seven numbers. Rank by pickup chance asks first, since it uses credits, and on Confirm each number gets a pickup score from 0 to 100: Nina Patel's direct line 88 and mobile 42, Jordan Lee's direct line 81 and mobile 58, Ana Costa's mobile 74, Tom Becker's direct line 63 and Elena Ruiz's direct line 34. Each lead's likeliest number moves to the front, then the leads re-order by their best score: Nina Patel, Jordan Lee, Ana Costa, Tom Becker, then Elena Ruiz. Scores of 70 and up come first, then 50 to 69, then under 50. The ranking is good for 90 days.

Or bring your own leads.

Example, in four steps. First, a CSV and a HubSpot list import into the Q4 fintech campaign; three leads are added, and importing the list again updates Jordan Lee's lead instead of adding a duplicate. Second, two leads have no phone; 8x asks before it looks them up, Alex confirms, and a mobile and a direct number are found. Third, Apollo, ZoomInfo, Lusha and Clay send contacts to HubSpot, and at 7:00 AM each business morning 8x imports the list: 38 new leads today. Fourth, a new row in Clay posts Owen Hart of Pinecrest to the Q4 fintech campaign's import URL, a write-only address shown with Copy and Roll; the lead is checked against the do-not-call registry and the do-not-contact lists and queued.
  1. Import a listA CSV or a HubSpot list. Re-imports update leads instead of duplicating them.
  2. Find phone numbersFor leads with no phone, 8x looks the number up. You confirm before anything is spent.
  3. From your own lead toolsApollo, ZoomInfo, Lusha, Clay and others send contacts to HubSpot, and 8x imports those lists every business morning.
  4. Send leads straight inClay, Zapier, Make or n8n post new leads to your campaign's import URL. They're screened and queued as they arrive.

Or ask for it in Slack.

Tell Apex who you sell to, and it builds the list in a thread. It asks before it spends a credit.

See Apex Agent

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