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Align sales and marketing for ABM by giving both teams one shared system: the same account list, the same tier definitions, the same scoring model, and a written SLA on who does what by when. Without that shared infrastructure, ABM turns into marketing running campaigns against a list sales never agreed to, while sales works its own pipeline and ignores the accounts marketing flagged as hot.
That's the failure mode in most B2B tech companies at Series A. Marketing builds a target account list from firmographic data. Sales builds its own pipeline from referrals and outbound. The two lists overlap maybe 40%, and nobody notices until the quarterly review, when marketing claims credit for accounts sales was already working and sales dismisses the accounts marketing sourced as "not real."
TL;DR: ABM alignment starts with a single source of truth for the account list, shared tier definitions (not separate marketing and sales scoring models), and a written SLA covering response times and follow-up thresholds. Companies with strong sales and marketing alignment grow revenue roughly 20% a year, versus a 4% decline at poorly aligned companies, and generate up to 208% more marketing-sourced revenue. RevOps is the function that turns that alignment from a stated value into an enforced system.
Account-based marketing is a targeting philosophy, not a tactic. It only works if sales and marketing agree on which accounts matter before either team spends a euro or an hour on them. Most companies skip that step and jump straight to tactics: intent data tools, personalized landing pages, LinkedIn ad sequences, aimed at a list that only one team actually believes in.
The fix isn't a kickoff meeting. It's a system that makes misalignment structurally difficult, not just discouraged. Three components do the actual work.
Every ABM program needs tiers, and both teams need to use the same three. A tight ideal customer profile is the input; the tier model is where that ICP gets translated into daily sales and marketing behavior.
Most Series A companies at EUR 10 to 30M ARR don't need all three tiers on day one. Tier 1 alone, run properly with both teams working the same 10 to 50 accounts, produces more usable pipeline than a Tier 3 program spread across 500 accounts nobody's actually following up on.
Tier definitions only work if they live inside the system both teams actually use every day. A shared account score, built from firmographic fit plus real buying-intent signals, has to sit in the CRM as a field both sales and marketing see, not in a marketing dashboard sales never opens. Getting intent data out of a standalone dashboard and into the CRM is the single highest-leverage fix most companies skip, because it's plumbing work, not campaign work, and nobody wants to own it.
This is also where the split between demand generation and RevOps usually breaks ABM programs. Demand gen owns the campaigns; RevOps owns the data model those campaigns score against. If the same person or team doesn't own both, the score marketing calculates and the score sales trusts drift apart within one quarter.
A tier model and a shared score mean nothing without a follow-up commitment attached to them. Write it down, put a number on it, and review it monthly.
For a fuller tactical breakdown of the seven moves tech companies use to run this day to day, purple path's earlier piece on aligning sales and marketing for ABM covers the RevOps and AEO content side in more depth.
Poor alignment isn't a soft problem. Industry research widely cited across B2B revenue benchmarks puts the annual cost of sales and marketing misalignment in the US at roughly $1 trillion, and only about 8% of companies report genuinely strong alignment between the two functions. That gap shows up directly in ABM: a program built on unshared data is, structurally, a misalignment problem wearing a targeting strategy's clothes.
Both teams work from different account lists or different scoring models, so "alignment" happens in a kickoff meeting and dissolves within a month. The fix is a shared system, one account list, one tier model, one score, built into the CRM both teams use daily, not a recurring conversation about priorities.
Most Series A B2B tech companies need one working tier, Tier 1, run properly against 10 to 50 named accounts, before adding Tier 2 or Tier 3. A three-tier program spread too thin usually produces less usable pipeline than a focused one-tier program with real sales follow-through.
Neither exclusively. RevOps should own the data model and scoring logic as a shared resource, with sales and marketing leadership jointly signing off on the definitions. If one function owns scoring unilaterally, the other stops trusting the number within a quarter.
The revenue case is well documented: companies with strong sales and marketing alignment grow roughly 20% annually, against a 4% decline for poorly aligned companies, and see up to 208% more marketing-sourced revenue. ABM is one of the clearest places that alignment either shows up or doesn't, because both teams are working the same named list.
Most companies know they need shared tiers, a shared score, and an SLA. Very few have the RevOps bandwidth to actually wire it into HubSpot or Salesforce and keep both teams using it past month one. purple path's martech and RevOps pillar exists specifically to build and run that system inside your stack, not hand you a slide explaining it. Talk to purple path about the gap between your sales list and your marketing list.

Dave leads purple path's content team, getting clients' inbound, outbound, thought leadership, social, and video content running fast, and making sure it actually works. In an AI-saturated content landscape, he's focused on the thing that still wins: content that engages and delivers real value.He's spent his career shaping content marketing strategy for SaaS companies globally, and previously as Head of Content at Minit Process Mining and Senior Copywriter at Exponea. He also built and exited his own company, Elite Language Center, over nearly nine years as CEO. His work has been featured in Forbes, and he's increasingly focused on LLM visibility, making sure content shows up where AI-driven search is heading next (GEO/AEO).