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Messaging B2B

ABM without messaging is just spray and pray with a smaller list

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Account-based marketing (ABM) tools let you target specific accounts; messaging determines whether those accounts respond. ABM without messaging is therefore spray and pray with a shorter list. Most programmes fail for exactly that reason: the targeting is personalised, the message sent to the account stays generic. At Fast Growth Advisors, we build the core messaging before its industry, account and persona variants.

Why do most ABM programmes underperform?

Because targeting has become easy, while the message sent to the accounts it identifies stays generic.

The ABM industry sells a compelling story: identify your ideal accounts, deliver personalised content, and watch the pipeline fill. Platforms like Demandbase, 6Sense and Terminus make targeting precise.

But targeting is the easy part.

What you say to the accounts once you’ve identified them is the hard part. And that is where most programmes break down. In practice, the “personalised” content is a first-name merge tag on a generic email. Its landing page mentions the account’s industry, but it still delivers exactly the same value proposition that is used for every other segment in the database. As for the “tailored” ad creative, it swaps one stock photo for another.

For Fast Growth Advisors, messaging is the argumentative structure underneath all your communication: what you say, to whom, and in what order. Without it, personalisation stays cosmetic: the account’s name changes, the argument does not.

This isn’t account-based marketing. It’s spray and pray with a shorter mailing list.

What does messaging have to do with ABM effectiveness?

Everything: ABM works when the target account feels understood in its situation, challenges and decision criteria, not just identified.

That requires messaging built for that account. At Fast Growth Advisors, we work on it at 3 levels: the industry, the account and the persona.

The industry. A financial services firm and a manufacturing company have different regulatory environments, technology stacks and buying processes, so the messaging has to reflect this in the value proposition itself, not just in the vocabulary. “Reduce compliance risk” resonates in banking. “Minimise production downtime” resonates in manufacturing. Same product, different frame.

Second level: the account. Within the same industry, each target account has its own initiatives, competitive pressures and strategic priorities. A company undergoing a digital transformation cares about different things than one optimising existing operations. This level requires research, not just data.

Third level, the persona: one message never fits everyone.

Within the same account, the chief technology officer (CTO) cares about architecture and integration. For the chief financial officer (CFO), what counts is total cost of ownership (TCO) and time-to-value. As for the end-user, they care about usability and the impact on their daily workflow. A single message pitched at all three ends up convincing none of them.

How do you fix ABM without messaging in practice?

By applying the Who, What, Differentiator, Value framework with one adaptation: the Who axis becomes multi-layered.

Instead of one persona, you’re addressing several stakeholders within each account, each with their own version of the messaging. Everything still rests on a shared core, and that core is often missing.

Our measurements show it: in the Message-Market Fit Observatory by Fast Growth Advisors (second quarter of 2026), three detailed audits in four (75.9% of 83) end up below the critical threshold of 37.5 points out of 75. Rolling out such a fragile core stakeholder by stakeholder only multiplies its weaknesses.

Four steps make up the approach, and each one builds on the previous.

  1. Build the core messaging: the universal value proposition across the 4 axes, which works regardless of account or persona.
  2. Create industry variants: adjust the Value with industry-specific proof points, and the Who with industry-specific personas.
  3. Research target accounts: for your 10 to 20 priority accounts, build an account-specific messaging map.
  4. Map personas within accounts: for each key stakeholder, create a variant that addresses their specific concerns.

Your Differentiator, on the other hand, stays the same from one industry to the next.

For account research, start with what is public. What strategic priorities has the account published? What challenges has its chief executive mentioned in earnings calls? Which competitors is it losing to? This intelligence shapes the account-level messaging, while the core value proposition stays consistent and only the framing shifts to match each stakeholder’s priorities.

Yes, this is more work than uploading a list to a platform. That’s why it works.

Before you tailor your messaging account by account, test your core against the benchmarks in the full Message-Market Fit Observatory 2026 report. Your buyers also query AI assistants: see our approach to AI visibility (GEO).

FAQ

How many target accounts should an ABM programme start with?

Between 10 and 20 priority accounts, with deeply personalised messaging.

It’s better to do genuine ABM for 15 accounts than fake ABM for 500. Scale once the messaging-to-account framework is validated and repeatable: each new account then reuses the core messaging and the industry variants already built. Starting small also makes it easier to see which variants actually earn replies.

Can you do ABM without a dedicated ABM platform?

Yes. The messaging and research work is platform-independent.

A well-researched account briefing with tailored messaging, delivered through existing channels (email, LinkedIn, direct mail), outperforms a generic campaign run on an expensive, dedicated ABM platform. A platform speeds up targeting; it does not write the message for you.

How does Fast Growth Advisors support ABM messaging?

By building the core framework, then the industry and persona variants.

Fast Growth Advisors sets the core messaging first, since every variant depends on it, then helps create the variants needed for genuine account-based personalisation. Its marketing optimisation service specifically addresses sales and marketing alignment for account-based marketing programmes.

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