A B2B deal in 2026 is not closed by one buyer. It's closed by a committee — usually 5–11 people across functions — and the deals that close fastest are the ones where the rep mapped the committee correctly.
LinkedIn is the only place the entire committee leaves a public trail. Here's how to read it.
The names change by company. The shape doesn't:
| Role | What they care about | LinkedIn signature |
|---|---|---|
| Champion | Making themselves look good for picking the right tool | Engages with your content, attends webinars, posts about the space |
| Economic buyer | ROI, budget defensibility, board-narrative fit | Posts about strategy, follows analyst content, attends executive briefings |
| Technical evaluator | Whether it works, integrates, scales | Comments with technical depth, engages with engineering content |
| End user | Daily friction, time saved | Posts about workflow pain, asks for tool recommendations |
| Finance / procurement | Pricing structure, contract length, renewal terms | Rarely active on LinkedIn — find them through company-page proxy |
If you're only working the champion, you're playing one position on a five-position field.
For any target account:
Step 1: Find the champion. Usually the person who engaged with your content first. Most reps stop here.
Step 2: Find their boss + their boss's boss. The champion's manager is usually the economic buyer. Their VP is the executive sponsor if the deal is big enough.
Step 3: Find one peer. Someone at the same level in an adjacent function — if you sell to RevOps, that's Sales Ops or Marketing Ops. They're the end user the champion will consult.
Step 4: Find one technical evaluator. Engineering manager, IT, or solutions architect — whoever the champion has to convince that the tool will actually work.
Step 5: Trace the engagement web. When the champion posts about the space, who comments? When their boss posts, who comments? Saava's signal graph surfaces these connection clusters automatically.
Single-threaded sequences hit one person 6 times in 3 weeks. Reply rate: ~8% if the signal is strong.
Multi-threaded sequences hit 4 people once each over 3 weeks, coordinated. Reply rate: ~22% (one of the four replies), and the deal cycle compresses by ~30% because the champion isn't single-handedly evangelizing internally.
The right cadence:
Never two of these in the same week to the same account — it looks coordinated, and the committee will notice.
Across 320 closed-won deals from Saava customers in Q1 2026:
Same product, same rep, same ACV bracket. The only difference: who they talked to.
Most teams treat multi-threading as "talk to more people." Wrong. Multi-threading is role coverage — making sure each of the five roles has been touched at least once.
A deal with the champion, two of their peers, and a junior end user is still single-threaded structurally: you haven't gotten to the economic buyer, you haven't gotten to a technical evaluator, you have no committee coverage.
LinkedIn lets you see role gaps before the demo. Most reps don't look.
Saava's signal engine doesn't just surface engagers — it surfaces the engagement clusters around target accounts. When three people from the same company engage with your watched profiles inside 14 days, that's a committee waking up. You see it, you map it, you sequence the gap.
In 2026, the rep who maps the committee in week one wins the deal in month two.
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