Stay top of mind with Signal-Driven Ad Audiences

Vector + UserGems

Most B2B ad budgets get wasted on broad campaigns that don’t match where the buyer actually is.

But what if you could run precise, timely ads only when a real person is showing meaningful intent like researching a competitor, viewing your pricing page, or starting a new role?

This play helps you activate hyper-relevant LinkedIn campaigns triggered by real-time, contact-level signals from Vector.

Special thanks to UserGems for running this play AND seeing results.

The Vector Way:

Most teams still target accounts, not people. But accounts don’t click. People do.

Vector flips that.

With contact-level intent data from Vector—enriched with signals from tools like UserGems—you can see exactly who’s researching competitors, checking your pricing page, or stepping into a new role. Not accounts. Real people.

These signals let you build precise, always-on LinkedIn audiences that update dynamically as behavior changes. Pair that with outbound, and you’ve got surround sound that warms up prospects, revives old opps, and boosts conversion.

UserGems helps you find the who. Vector enables you to act at the right moment.

When to use this play:

Use when:

You want to surround warm contacts with relevant ads before sales outreach
Contacts are visiting high-intent pages like pricing or competitor comparisons
Someone just changed jobs or got promoted (especially if they were a past customer)
You’re trying to increase engagement and win rates on active opportunities

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Goal

Drive more efficient pipeline creation and acceleration by targeting real buyers with timely, intent-triggered ads.

Objectives

Warm up high-intent contacts before outbound
Increase outbound conversion rates with parallel LinkedIn touches
Engage broader buying groups during open opps
Re-capture past champions at new companies
Improve CTR and reduce wasted paid spend

Use case

Someone visits your pricing or competitor comparison page. Vector flags them, builds a LinkedIn audience, and syncs them directly to your ad account.

That same contact is also in an outbound sequence. Now, they’re seeing your message in their inbox and on LinkedIn. Click-through rate goes up. Outbound reply rate goes up. And so does pipeline.

Play type: Pipeline Creation | Pipeline Acceleration | Outbound Assist Estimated time to execute: 30–60 min to set up segments and ads; then fully automated

How it works:

Step 1: Build signal-based segments in Vector

Create contact-level segments triggered by:

Competitor interest (reading help docs, comparison pages, or off-site content)
Pricing page or high-intent content views
Job changes or promotions (from Clay or UserGems + enriched by Vector)
Open opportunity roles (pull from CRM + Vector)

💡 Pro tip: Only include contacts that meet the signal and are net-new or not already engaged.

Step 2: Sync directly to LinkedIn

Once the audience crosses ~300 contacts, sync the segment from Vector to LinkedIn Ads.

No manual uploads. No CSVs.

Ads start running immediately and dynamically update as signals change.

Step 3: Align with outbound

Coordinate with Sales or ADRs to:

Launch outbound plays in parallel to each ad segment
Tailor outreach messaging to the specific signal (e.g., “Saw you’re researching X…”)
Share ad creative and messaging so outbound and paid are in sync

💬 Common pairings:

Job change signal → “Congrats on the new role, let’s talk playbooks”
Competitor research → “Here’s what buyers like you switch to us for”

Step 4: Track and scale

Monitor:

CTRs (benchmark: 3%+ for signal-based ads vs. 0.5% baseline)
Downstream performance (meetings booked, opps created)
Feedback from Sales (Gong mentions, Slack screenshots, closed/won)

Use those insights to refine signal definitions and iterate on creative.

Real-life scenario:

How UserGems uses Signal-Driven Ad Audiences

Isaac Ware, Head of Demand Gen at UserGems, didn’t wait around for intent signals.
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By pairing Vector’s contact-level data with UserGems’ behavioral insights, his team created dynamic LinkedIn audiences that activated only when real buying signals emerged.

Think: a contact researching competitors and visiting a high-intent page. That segment got timely, relevant ads while already being worked by sales.

With consistent, personalized messaging across channels, Isaac’s team turned intent into real pipeline.

“Success isn’t because the program is complicated, fancy, or complex,” Isaac said. “It’s how we’re front-loading account selection with Vector and UserGems powering the signals.”