Article
Buying group identification: how to map stakeholders before the deal stalls
Buying group identification with Custom Audiences

Your pipeline does not stall because one lead goes quiet. It stalls because your team misses the full buying group.
That gap shows up early. You target one contact, score one response, and route one record. Meanwhile, the real decision sits across finance, IT, operations, procurement, and line-of-business leaders.
If you still treat leads as the GTM unit of execution, you lose visibility when deals gain complexity. Buying teams framed as GTM unit of execution give you a better model. You see who shapes the decision, who blocks it, and who needs proof before the deal moves.
That matters because B2B purchases now involve larger groups and more friction. 6sense reports that B2B buying groups average 10+ members. Forrester reports that 73% of purchases involve three or more departments. If you do not map the group early, your team reacts late.
For MOFU teams, the goal is not more names in a list. The goal is reliable buying group identification that links people, roles, accounts, and signals in time for action. That is where Custom Audiences and Third-Party Data start to matter.
What an accurate buying group map looks like
Latest Articles

Article
Scaling outbound without scaling headcount: why technographics and third-party data belong in your GTM strategy
You do not fix outbound scale with more reps alone. You fix it with better targeting, cleaner execution, and faster decisions. That shift starts with technographics and third-party data.
When your team builds outbound on static lists, you pay for it twice. First in wasted rep time. Then in missed accounts that fit your market but never enter your motion. If you want to scale outbound without adding headcount, you need a GTM model that tells reps where to focus, when to act, and which accounts deserve coverage now.
That is where technographics and third-party data change the equation. They help you define a sharper total addressable market, prioritize accounts with higher fit, and route outreach based on real market conditions instead of guesswork.

Article
The best LinkedIn prospecting tools for SDRs
You open a profile. The person looks like a fit. Now what? Most SDRs copy the name into a spreadsheet, run a search in whatever data tool their company bought, and hope the email comes back clean. That process costs you 20 minutes per prospect on a good day.
The tools on this list cut that time down. Some of them pull contact data. Others score accounts, map buying committees, or surface lookalike targets. Each one does something different, and the right stack depends on what slows you down most.
This guide walks through the strongest linkedin prospecting tools available to SDRs right now, what each one actually does, and where each one falls short.

Article
How to Find Direct Dials From a LinkedIn Profile Without Paying for a Sales Database
You found the right contact. The title matches. The company fits your ICP. Now you need a phone number that works. Every outbound rep hits this wall daily. The profile is right there, but the direct dial is locked behind a paywall or buried in a stale database. You need a faster way to find direct dials from linkedin profiles without switching tabs or spending hundreds a month on another tool.
Here is exactly how to do it, step by step, for free.


