Video

B2B Go-to-Market Strategy in 2026: ABM, Pipeline, and AI Agents

B2B go-to-market is getting more precise and more accountable to pipeline. Here's what that looks like in practice: different plays for SMB and enterprise, ABM built to help sales, and measurement that goes past form fills.

Published: Aug 28, 2026 · 58 min watch

Key takeaways

A B2B go-to-market strategy needs different plays for SMB and enterprise. For SMB, LinkedIn builds awareness and Google captures intent. For enterprise, ABM is air cover for sales outreach, not a lead gen channel.

Form fills and MQLs aren't enough. Send ICP fit and CRM lifecycle stages to your ad platforms, and stitch CRM, ad platform, and outreach data into one journey to see what's actually driving pipeline.

AI agents already do part of the work, but people still validate the output. Marketers need to learn to manage agents.

B2B companies want a true growth partner: an agency that cares about pipeline and shows results in the first 90 days.

What This Video Covers

A B2B go-to-market strategy increasingly splits into two motions, SMB and enterprise. Each needs a different strategy and a different level of investment. Here's how we approach both, how we measure success, and where AI agents and agencies fit in.

B2B Go-to-Market for SMB: LinkedIn and Google Each Have a Job

Paid inbound still works well for SMB, and it comes down to two platforms. LinkedIn handles education, with firmographic data that's up to date and easy to segment. Google captures the hand-raisers with paid search. They need different structures:

  • LinkedIn: over-segment. Build audiences by persona, industry, and geo, and give each its own message and campaign. Segment size doesn't matter, whether it's 1,000 people or 100,000.
  • Google: aggregate. Run fewer campaigns with the right signals, so the algorithm has enough data to self-optimize toward deeper-funnel activity.

Learn more about our approach to B2B LinkedIn advertising and B2B paid search.

Enterprise ABM Strategy: Awareness and Sales Handover, Not Lead Generation

Enterprise buyer groups run 10 to 15 people, not two to three. The message is more complex and the process takes longer. Across five of our largest agency accounts, only 5 to 8% of leads from target enterprise accounts came in inbound. The rest were enriched or uploaded into the database.

So the goal of account-based marketing shifts to awareness, penetration, and engagement, not form submissions. Marketing builds tailored awareness content, or air cover, before and during sales outreach, and collects account-level and contact-level engagement data that shows sales who to reach.

The handover makes it work. Bring impression data, click data, and your engagement threshold into the CRM, in fields and in the activity log, and walk sales through it. When we provided that air cover for a client, cold meetings booked rose 58%. See the full contact-level ABM case study.

ABM Mistakes to Avoid

  • Expecting ABM to generate leads. Putting ABM inside the paid inbound budget means judging it by the same lead metrics. ABM media doesn't result in leads.
  • Building the strategy on intent signals. In our experience, intent signals aren't good quality, and that segment didn't convert more efficiently than any other segmentation.

How to Measure B2B Marketing Success: Why Form Fills and MQLs Aren't Enough

A form submission no longer works as a signal for ad platforms, because it doesn't filter for quality. Define an "ICP lead" instead: a simple true/false check. Send that back to the platforms as the conversion event. It's a concept, not a formal lifecycle stage. Use your CRM data to judge lead quality, and activate it in the ad platforms, not just report on it.

MQLs have a similar problem. In our experience, no lead scoring model is perfect, and maximizing MQLs can plateau without adding open pipeline. Look at the cohort through activity logs and sales feedback, and you'll see which assets bring leads who don't reach open pipeline. Some bring in right-fit leads who aren't in market, so they don't turn into pipeline this fiscal year, though nurturing can get them there later.

We often advise clients to revisit their ICP definition and their asset mix, and to decide how much budget goes to this year's pipeline versus long-term demand.

Marketing Attribution: Stitching CRM, Ad Platform, and Outreach Data

The goal is one journey, from a contact being touched to a deal opened or closed. That's hard in B2B. A deal sits on an account, and an account has several contacts. Each contact has its own history, often starting with anonymous touchpoints. That data sits in four or five different systems.

We put the CRM at the center and enrich the deal's activity log with page-level, ad platform, and outreach data. Then buyer-group patterns surface, including why some accounts didn't close. See how we approach pipeline intelligence and marketing attribution.

Three data moves worth making:

  • Send CRM lifecycle stages back into Google, LinkedIn, and Microsoft Ads as offline conversions.
  • Use LinkedIn's company-level engagement data in the Companies tab in Campaign Manager. It shows how engaged each account is, from low to very high, and whether paid or organic activity drove it. There's no spend threshold.
  • Connect your CRM to LinkedIn revenue attribution to see which accounts behind open and closed deals were served impressions. Say LinkedIn touched 20 of last quarter's 50 closed deals. That ties awareness spend to pipeline.

AI Agents for Marketing: Why Marketers Need to Become Agent Managers

We build our own agents in-house for repeatable, complex, context-heavy problems. Off-the-shelf agents aren't tailored to our internal needs the way we want, which makes their output more generic. So we build on our existing process and give the agents far more context.

Right now, the human role is managing agents. A team that isn't managing agents is missing an opportunity. An agent should extend a person's role.

Two things hold agents back. They lack the context and knowledge base humans carry, and there's no good system yet for measuring whether their output helps the business. They also tend to please, so quality needs a human check.

As agents improve, we expect small teams to do the work of much larger ones. But someone still has to sign off. The best agents come from capturing a human's process, including the nuances of what to use and what to leave out.

What B2B Companies Expect From an Agency Partner

Companies often arrive wanting a different agency because the current one isn't delivering. They want a partner who guides them through the data side, delivers tangible results, and brings AI agents into their team's processes, tuned to how they define success.

For us, the agency of the future should be a true, all-encompassing growth partner to B2B companies. That starts with caring about pipeline, aligning on the targets they're measured on internally, usually marketing-sourced or attributed pipeline, and showing results in the first 90 days.

Across SMB, enterprise, measurement, and AI, a strong B2B go-to-market strategy comes back to one thing: pipeline.