2024 was a wild ride for Alex Chen, who ran Demand Generation at Veridian Solutions, a B2B SaaS company in the AI analytics space. A late 2023 pilot program for Account-Based Marketing (ABM) had gone surprisingly well, landing them three huge enterprise clients. But by 2026, the real problem emerged: how to scale that success across different product lines and into accounts with wildly diverse buying groups, a challenge that made the initial proof-of-concept look like child’s play. Alex knew just repeating the pilot’s playbook was a recipe for failure, since every buying group inside a target account has its own pain points and talks on different channels. How could Veridian get past one-off wins and build an ABM machine that could actually scale?
Key Takeaways
- You have to segment target accounts by industry, size, and product interest so your messaging isn’t generic.
- Map the buying groups inside each target account, finding the champions, influencers, and decision-makers so you can engage them personally.
- Use a tiered ABM model so you can pour your best resources into the top-tier accounts with the highest revenue potential.
- Integrate your sales and marketing platforms to get a single, clear view of all account activity and coordinate your outreach.
- Constantly check campaign performance with metrics like account engagement, pipeline velocity, and win rates to see what’s working and what’s not.
The Initial Spark: Early ABM Success and Its Limitations
Veridian’s original ABM pilot zeroed in on a few big financial institutions, specifically targeting their Chief Data Officers (CDOs) and their teams. The whole strategy was high-touch, built on personalized emails, custom content, and direct outreach from SDRs and AEs. It worked because the buying group was small and easy to define, which meant Alex’s team could write super-specific value propositions that spoke directly to a CDO’s worries about data governance and predictive modeling. But when Veridian started looking at new markets like healthcare and manufacturing, the approach’s limits were obvious.
“We couldn’t just throw bodies at the problem,” Alex said in a team meeting. “A single target account in healthcare might involve IT directors, compliance officers, clinical department heads, and procurement. Each with different priorities. Our one-size-fits-all personalized approach became a resource drain, not a scalable solution.”
Understanding the Nuances of Buying Groups
The real issue with scaling, Alex figured out, was the complexity of the buying groups. A buying group isn’t just one contact. It’s the committee of people inside a company who are all involved in a purchasing decision. Their size and who’s in them changes completely based on the industry, company size, and what you’re selling. For Veridian’s AI analytics platform, a buying group could look like this:
- The Champion: Usually a department head or tech lead who gets the value right away and pushes for your solution internally.
- The Influencers: The tech experts, data scientists, and other end-users who will actually live in the product every day and have strong opinions.
- The Decision-Maker: An exec in the C-suite (like a CIO or CEO) who controls the budget and has to sign the check.
- The Gatekeepers/Blockers: People in procurement, legal, or IT security who are paid to find risks and negotiate contracts.
Each of these people needs completely different content. The champion wants to see their operational headaches go away, while the decision-maker is thinking about ROI and beating the competition. Procurement is focused on price and vendor risk. If you ignore these differences, you can’t scale your ABM because you’re either talking to a wall or, even worse, sending irrelevant junk to the very people you need to convince.
Tiered ABM: A Strategic Approach to Resource Allocation
To fix the resource problem, Alex rolled out a tiered ABM strategy. This just means splitting up target accounts based on their revenue potential, strategic fit, and how likely they are to actually buy. This is a non-negotiable step. All accounts aren’t created equal, and if you treat them that way, you’ll burn through your budget fast.
- Tier 1 (One-to-One ABM): These were Veridian’s crown jewels, mostly Fortune 500 companies with complicated buying groups and potential for multi-million dollar deals. For these accounts, the expensive, high-touch approach was still the way to go, involving dedicated account teams, deep-dive custom research, bespoke content, and outreach to executives. “We’d spend weeks just mapping the internal politics and relationships for a Tier 1 account,” Alex explained. A 2024 IAB report on ABM effectiveness actually backed this up, showing that companies using one-to-one strategies for their best accounts saw a much higher ROI.
- Tier 2 (One-to-Few ABM): This tier was for mid-market companies with good revenue potential but simpler buying groups. For these, Veridian would group similar accounts together (think a cluster of regional hospital networks) and run semi-customized campaigns with things like industry-specific webinars and personalized email sequences that were relevant to the group, but not tailored to a single person.
- Tier 3 (One-to-Many ABM): These were smaller accounts or prospects with lower immediate potential. Veridian used programmatic advertising, wider content syndication, and automated email nurturing to engage them efficiently. The main goal here was to generate and qualify leads, looking for engaged accounts that could eventually be promoted to Tier 2. This is where tools like Terminus and Demandbase were indispensable for automating ad delivery and content at scale.
This tiered system let Alex’s team put their energy where it would have the most impact, giving the most valuable accounts the attention they deserved without completely ignoring the rest of the market.
Content Personalization at Scale
The next challenge was making content that was actually relevant for each person in the buying group across all three tiers. Alex knew that sending another generic whitepaper was a waste of time. “We needed to speak their language, address their specific problems, and show them how our platform solved their challenges, not just generic data problems,” he stated.
Veridian got serious about its content strategy and built out:
- Persona-specific content hubs: They created dedicated sections on their website for CDOs, IT Directors, and Compliance Officers, and each section had its own set of case studies, articles, and solution briefs.
- Interactive tools: They built things like ROI calculators for finance teams, technical spec sheets for IT departments, and compliance checklists for legal. These tools provided real value upfront and gave Veridian great signals about user intent.
- Dynamic content delivery: By integrating their CRM (Salesforce) with their marketing automation platform (HubSpot), Veridian could show personalized content on their website and in emails based on a visitor’s company, industry, and past behavior. For instance, a visitor from a healthcare company would automatically see a banner highlighting a healthcare case study. That kind of real-time personalization is only possible when your tech stack is properly connected.
Sales and Marketing Alignment: The Unsung Hero
Alex learned fast that without tight sales and marketing alignment, even the best ABM strategy is dead on arrival. “Marketing can generate all the engagement in the world, but if sales isn’t equipped to follow up with relevant conversations, it’s all for nothing,” he observed. To fix this, Veridian set up weekly sync meetings between the two teams where they focused on specific target accounts, sharing insights from their account intelligence platforms and planning outreach together.
A few key things they did:
- Shared account intelligence dashboards: Both teams had access to the same dashboard showing everything happening with an account (website visits, content downloads, email opens). This got rid of the “he said, she said” information silos.
- Jointly developed playbooks: For every buyer persona, sales and marketing worked together to create playbooks that laid out key messages, answers to common objections, and the right content to share at each stage.
- Regular training: The sales team got trained on all the new marketing content and how to use it, while the marketing team got direct feedback from sales about what customers were actually saying and what competitors were doing.
This alignment meant that when an AE finally got on the phone with a compliance officer, they were talking about data privacy and audit trails, not pitching generic tech features. That’s the kind of coordination that actually moves a complex B2B deal forward.
Measuring Success Beyond Leads
With the new strategy, traditional marketing metrics like lead volume became far less important. Alex’s team started focusing on account-level metrics that told a better story:
- Account Engagement Score: A combined score that tracked all activity (website visits, content downloads, ad impressions) from every known contact at a target company.
- Pipeline Velocity: How quickly are these target accounts moving from one sales stage to the next?
- Average Deal Size: ABM is supposed to land bigger, more strategic deals. Was it working?
- Win Rate: What percentage of our target accounts are we actually closing?
- Customer Lifetime Value (CLTV): The long-term measurement of how much an account is worth over time.
By tracking these KPIs on dashboards in their CRM, Alex could show the executive team exactly how their efforts in scaling ABM were paying off in real revenue, which in turn allowed his team to keep optimizing their campaigns.
The Resolution: A Scalable Engine for Growth
By the end of 2026, Veridian Solutions had turned its ABM program from a one-off success story into a predictable, revenue-generating machine. They brought on more than 20 new enterprise clients from different industries, and their average deal size was 30% larger than it was before they started ABM. Alex’s experience shows that scaling ABM isn’t about just doing more of what worked in a small pilot. It’s about getting smarter by digging into the dynamics of buying groups, being strategic with your resources, and forcing deep alignment between your sales and marketing teams. It takes a real commitment to learning and adapting, but the payoff from truly engaging your best-fit accounts is massive.
For any B2B company trying to get beyond its first few ABM wins, the path forward is through careful segmentation of your target accounts, a real understanding of their different buying groups, and the tactical use of personalized content across well-defined tiers. This disciplined method ensures your marketing and sales efforts are both efficient and powerful enough to drive serious revenue growth. For more ideas on where to go from here, check out these B2B ABM Q3 Growth Projections for 2026.
What is a buying group in the context of ABM?
A buying group is just the committee of people inside a target company who all have a say in whether to buy your product. It’s never one person. You’ll have different roles like the champion who advocates for you, the decision-maker who signs the check, influencers who use the product, and gatekeepers from procurement or legal who can block the deal.
Why is a tiered ABM strategy important for scaling?
A tiered strategy is how you avoid burning out your team and budget. It lets you focus your most expensive, high-touch marketing and sales efforts on your biggest, most valuable accounts (Tier 1). Then you can use more efficient, semi-custom (Tier 2) or automated (Tier 3) campaigns for the rest, making sure no good accounts are ignored while your resources go where they’ll have the biggest impact.
How does content personalization differ for various buying group personas?
You have to talk to each person about what they actually care about. A CFO needs to see a business case with an ROI analysis, while a technical lead wants to see detailed spec sheets and integration guides. It means creating different content and messages that speak directly to the specific job, problems, and goals of each person in the buying group.
What role does sales and marketing alignment play in scaling ABM?
It’s everything. Alignment makes sure you’re working as a single team to win an account. Marketing does the air cover and generates engagement, but sales needs to have the right intelligence and messaging to turn that interest into a real sales conversation. Without shared data, goals, and communication, the whole process feels disjointed to the customer and opportunities get dropped.
What key metrics should be tracked to measure the success of a scaled ABM program?
You need to move past old-school metrics like MQLs. The right metrics to track are things like account-wide engagement scores, pipeline velocity (how fast deals are moving), average deal size, win rates on your target account list, and in the end, customer lifetime value (CLTV). These show the real business impact on revenue.