Is nearbound your best pipeline source? A 4-step check, with 1mind's numbers

Most revenue teams already believe relationships close better. Very few have checked it in their own data, and fewer still have built a plan around the answer.

On our recent LinkedIn Live, Josh Carter, Head of Revenue Operations at 1mind, showed how he checked it. Over 1mind's last 120 days of closed opportunities, nearbound (relationships and referrals) closed at 3x the rate of outbound and qualified 2.5x as often. That one slide decided what RevOps built next.

Here is the same check, step by step, so you can run it on your own pipeline this week.

Step 1: Put every opportunity into four buckets

1mind groups pipeline into four lead source buckets:

• Outbound: cold sequences, calls and LinkedIn outreach with no shared connection.
• Inbound: demo requests, content and paid.
• Events: conferences, dinners and webinars.
• Nearbound: any opportunity that started with a relationship. An intro from an investor, advisor, customer or employee, or outreach that leaned on a shared connection.

The hard part is nearbound. If your CRM only has a "Referral" value, you will undercount it. Add a field for the path (who connected you, and how), and backfill it for the last quarter by asking reps. It takes an afternoon and it is the only way the comparison means anything.

Step 2: Measure two rates, not pipeline totals

Pipeline totals reward volume, and outbound always wins on volume. Josh measured two rates instead:

1. Qualification rate: the share of booked meetings that become a qualified opportunity. At 1mind that is Stage 0 (meeting booked) to Stage 2 (a real evaluation).
2. Overall close rate: the share of booked meetings that end as closed-won.

Use a fixed window of closed opportunities (1mind used 120 days) so slow and fast deals are judged the same way.

Step 3: Compare nearbound with each source

At 1mind, nearbound beat every other source on both rates. Expressed as how much higher nearbound ran:

Events came second, which fits Josh's view: "Human connection is everything. Whether it's through an event or through a relationship or a referral, those are always going to be, at least for us, consistently the top source."

Your numbers will differ. What matters is the shape. If nearbound wins on both rates, every extra warm path is worth more than an extra cold sequence.

Step 4: Ask why you don't have more of it

This is where most teams stall. The answer is rarely "our network is too small." It is usually that the paths exist but nobody can see them.

At 1mind, a few of the 15 AEs (there is no SDR team) had worked this out on their own. They built spreadsheets of the company's advisors, cross-checked them against their LinkedIn mutuals, and used Claude to sift through it all. It worked, but only for the reps with the patience to do it.

Josh's first instinct was to build a system for everyone. He teaches Clay at Pavilion's AI in GTM School, so he scoped an AI relationship map in Clay and Salesforce. A real one needed:

• LinkedIn profiles re-scraped on a schedule
• Job histories tracked to find where people overlapped
• Engagement tracked across accounts
• A data warehouse to hold all of it
• A UI reps would actually use, which he would then have to maintain

"Now here I am managing a product when I should be doing more strategic work," he said. He bought Boomerang AI instead. Reps started using it in mid-September 2026, and 1mind has had record pipeline weeks since.

What to do with the answer

If your check shows nearbound winning, three things follow:

1. Make paths visible to every rep, not just the resourceful ones. Map investors, advisors, customers, champions and employees against your target accounts.
2. Stack paths with intent. Josh's rule of thumb: an account with three warm paths and a live need is the one to work first.
3. Track nearbound as its own source. If it is not a line in your pipeline report, it will not get budget, headcount or attention.

If outbound wins, that is useful too. It usually means your nearbound field is undercounted, or your team has not tried to use its network systematically yet.

Read the full 1mind story

The 1mind case study covers how the reps use the paths day to day, Josh's build vs buy slide, and his advice for RevOps leaders. More sessions like this are on our webinars page.

Want to see the warm paths into your own target accounts? Try Boomerang AI free or book a demo.