---
title: "LinkedIn & CRM Data for B2B Pipeline Growth | VertoDigital"
description: "How B2B teams use CRM data and LinkedIn’s Conversions, Audiences, and Company Intelligence APIs to target better and tie spend to pipeline. 22-min video."
url: "https://vertodigital.com/content-hub/video/linkedin-crm-data-b2b-pipeline-growth"
image: "https://vertodigital.com/images/site/og-default.png"
---

# From LinkedIn & CRM Data to Pipeline Growth: Targeting, Attribution & AI

**Video · Sep 10, 2026 · 22 min watch**

B2B teams have more data than ever, but many don’t have a system to put it to work. Here’s how LinkedIn and first-party CRM data can power better targeting and clearer proof of how marketing contributes to pipeline.

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## Key takeaways

- Your CRM data is one of your biggest untapped marketing assets. But it only helps once it’s activated. LinkedIn’s Conversions API is one of the pipes that gets those CRM signals into the platform.
- Fine-tuned B2B targeting can be tested at scale. Through the LinkedIn Audiences API, you can create multiple audiences programmatically and test them at the same time, so the right message reaches the buying groups you’re after.
- LinkedIn data combined with your CRM is the key to at least partly solving the marketing attribution problem. The LinkedIn Company Intelligence API shows which companies saw and engaged with your ads, and matched to CRM data, it connects that activity to pipeline.
- AI in marketing is the muscle, and experts are the brain. AI can speed up the manual or time-consuming tasks, but it’s only as good as the data and context behind it.

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## What this video covers

LinkedIn is becoming a major strategic initiative for B2B demand generation, and it’s making more of its data available. The challenge is that many teams struggle to make use of that data, and then to prove the value of it. Companies are under growing pressure to prove ROI, so they’re asking for frameworks to activate the data, measure it, and show the real return on spend.

### First-Party CRM Data and the LinkedIn Conversions API

The CRM data your company holds has long been the main differentiator in making marketing more efficient. But it only helps once it’s activated. Until then, it sits in the CRM doing nothing.

LinkedIn’s Conversions API is one of the foundational pipes that gets that data flowing into the platform. Those signals have to be in LinkedIn before you can connect campaigns to pipeline later.

### B2B Audience Targeting with the LinkedIn Audiences API

LinkedIn holds deep context on B2B buyers, which lets you fine-tune targeting toward the buying groups you’re after and put the right message in front of them.

The LinkedIn Audiences API is one of the products that makes this work at scale. It shows what the platform can do and which parameters you can use to define an audience. From there, you can create multiple audiences programmatically and test them at the same time.

### B2B Marketing Attribution: Connecting LinkedIn and CRM Data to Pipeline

Targeting and activation only matter if you can show the result and who benefits from it. Connecting early marketing activity to the revenue it produces has been a problem for as long as marketing has existed. LinkedIn data combined with CRM data is the key to at least partly solving it. That loops back to the Conversions API, because the signals have to be in the platform first.

The aim is to give teams the arguments, data, and visualizations to see what’s working, so they can make changes iteratively and keep growing budgets, performance, and ultimately revenue. See how we approach [pipeline intelligence and marketing attribution](/services/b2b-pipeline-intelligence-and-marketing-attribution).

### LinkedIn Company Intelligence API: Account-Level Engagement Data

The LinkedIn Company Intelligence API gives programmatic access to data about the companies your ads have reached: impressions, clicks, and other metrics on how those accounts engaged with your campaigns. Matched to CRM data, where sales progression and revenue live, it shows how LinkedIn activity influences pipeline further down the funnel.

For [account-based marketing](/services/outbound/persona-based-marketing), this data changes what’s possible. If you don’t have an ABM platform, it can become one.

### AI in B2B Marketing: AI as the Muscle, Experts as the Brain

AI provides the muscle, and the experts provide the brain. AI can work through large amounts of data fast, but it’s only as useful as the context and data behind it. Give a generic AI model generic input and you get generic output. Build in the client’s business, their ICP, and what’s happening in their systems, and the results follow the client’s goals. The experts know what looks right, and they make the changes.

Our approach to [building LinkedIn audiences](/services/inbound/b2b-and-saas-linkedin-advertising) is an example of this. It starts with context from the client: what their business does, who they sell to, and which roles make the buying decision. Gathering all of that context takes time, and creating the audiences in LinkedIn is manual work too.

AI speeds up the slow parts. It condenses the context, then matches it to who we’re trying to reach and finds additional job titles that fit the product.

The end result is a much larger, more relevant, segmented audience that can then be used to personalize campaigns. The better the targeting, the better the results.

### There’s No One-Size-Fits-All System

There’s no one template that works for every company. What works for one client doesn’t simply copy over to the next. There’s a framework, and the agents and automations built on it are tailored to each client’s context. Context and data are worth every B2B marketing team’s attention, not just agencies’.

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## Timestamps

- 0:00 - Intro: B2B marketers are under pressure to prove ROI
- 0:44 - LinkedIn’s growing role in B2B demand generation
- 1:31 - The challenge of activating all the data LinkedIn’s providing
- 3:45 - First-party CRM data as the marketing differentiator
- 4:17 - LinkedIn Conversions API and connecting CRM data
- 4:59 - LinkedIn Audiences API and more precise B2B targeting
- 5:55 - Solving the marketing attribution problem
- 7:33 - Why building this alone is a heavy lift, and what an agency brings instead
- 9:18 - What LinkedIn Company Intelligence API data can reveal
- 12:06 - AI in marketing provides the muscle; experts provide the strategy
- 17:23 - Final thoughts & why there’s no one-size-fits-all system

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## Discussion with

**[Paul Green](https://www.linkedin.com/in/psgreen222/)** - Director, Growth & AI Solutions, VertoDigital

**[Yasen Lilov](https://www.linkedin.com/in/yasenlilov/)** - Partner, Head of Pipeline Intelligence, VertoDigital
