Account-Based Campaigns Need Sales-Marketing Alignment First

The best platforms for sales-marketing alignment in account-based campaigns are the ones your sales and marketing teams will actually use together. That sounds obvious, but most ABM platform decisions get made by marketing in isolation, handed to sales as a fait accompli, and then quietly abandoned six months later when adoption stalls. The platform is rarely the problem. The alignment is.

In 2025, the ABM platform market has matured enough that you have genuinely good options at every price point. What separates the teams getting results from the ones still debating attribution is not the software stack. It is whether sales and marketing are working from the same account list, the same signals, and the same definition of what a qualified account looks like.

Why Most ABM Platform Decisions Start in the Wrong Place

I have seen this pattern more times than I care to count. A marketing team gets budget approved for an ABM platform, goes through a vendor evaluation process, picks a winner, and then tries to retrofit the commercial team around the software. The vendor demo looked compelling. The case studies were persuasive. The contract gets signed.

Six months in, the sales team is still logging activities in Salesforce the way they always have, the intent data is sitting unread in a dashboard nobody opens, and marketing is running account-targeted display ads to a list that sales considers cold. The platform is live. The program is not working.

When I was running the agency side of large enterprise accounts, we spent a lot of time helping clients untangle exactly this situation. The technology was rarely the bottleneck. What was missing was a shared operating model: who owns account selection, what triggers a sales outreach, how marketing and sales communicate about account status, and what the program is actually trying to achieve commercially. Getting that agreed before you open a single platform comparison doc is not a nice-to-have. It is the work.

If you want a broader view of how these kinds of decisions fit into the operational layer of a marketing function, the Marketing Operations hub covers the structural and process considerations that sit underneath the technology choices.

What the ABM Platform Landscape Actually Looks Like in 2025

The market has consolidated significantly over the past three years. Several of the standalone intent data vendors have been absorbed into larger platforms. The all-in-one ABM suites have gotten more capable, but also more expensive. And the CRM platforms, particularly Salesforce and HubSpot, have built enough native ABM functionality that smaller teams can run a credible program without a dedicated ABM platform at all.

Here is how I would categorise the main options in 2025, not as a ranked list, but as a framework for thinking about what you actually need.

The Dedicated ABM Platforms

Demandbase and 6sense are the two platforms that dominate enterprise ABM conversations. Both combine intent data, account identification, advertising activation, and analytics in a single environment. Both have invested heavily in AI-driven account scoring and buying stage prediction. Both are genuinely good at what they do, and both carry price tags that require a serious commercial justification before you sign.

6sense has built a strong reputation for its predictive analytics layer, particularly its ability to identify accounts showing buying signals before they have engaged with your brand. The argument is that by the time an account fills out a form, you have already missed the early research phase. There is something to that, though I would be cautious about treating any predictive model as a substitute for genuine sales intelligence. The model tells you something is happening. It does not tell you why, or whether your solution is actually relevant to what the account is trying to solve.

Demandbase has historically been stronger on the advertising and engagement side, with strong account-matched display and connected TV capabilities. For teams where account-level brand building is part of the strategy, not just demand capture, that matters. The two platforms have been converging in capability over the past couple of years, so the decision increasingly comes down to which integrates more cleanly with your existing stack and which your sales team will actually engage with.

Terminus is worth considering for mid-market teams that want dedicated ABM functionality without the enterprise price point. It has a strong advertising activation capability and a cleaner user experience for sales teams than some of the larger platforms. The intent data layer is less sophisticated than 6sense or Demandbase, but for many programs, that is not the limiting factor.

CRM-Native ABM: When Your Existing Stack Is Enough

One of the most important questions to ask before buying a dedicated ABM platform is whether you actually need one. HubSpot’s ABM tools, available on the Marketing Hub Professional and Enterprise tiers, are capable enough to run a serious program for many B2B teams. You get account-based targeting, company-level tracking, deal influence reporting, and integration with the Sales Hub that most HubSpot-native sales teams are already using.

The advantage is obvious: no new platform, no new adoption curve for sales, and a single data environment where marketing activity and sales activity are visible in the same place. The limitation is that you are working with first-party data and HubSpot’s own network for account identification. If your target accounts are not already in your CRM or engaging with your content, your visibility into their buying behaviour is limited.

Salesforce’s Account Engagement (formerly Pardot) and the broader Salesforce ABM capability through Data Cloud is a more complex story. The potential is significant, particularly for large enterprise teams already deep in the Salesforce ecosystem. The implementation complexity is also significant. I have seen Salesforce ABM configurations that work beautifully and others that became expensive consulting projects that never fully delivered. The platform is not the problem in either case. The quality of the implementation and the clarity of the use case going in are what determine the outcome.

Intent Data: The Layer That Makes Everything Else Work

If I had to identify the single most impactful addition to an ABM stack for most teams, it would be a quality intent data feed, not a new platform. Bombora is the most widely used third-party intent data provider, and its company-level surge data integrates with most of the major platforms and CRMs. G2 Buyer Intent is particularly valuable if your category has strong G2 presence, because it surfaces accounts actively researching your competitors and your category on the platform.

The honest caveat about intent data is that it is a signal, not a certainty. An account surging on topics related to your product is not the same as an account ready to buy from you. I have worked with sales teams that treated intent data as a hot lead list and burned goodwill with accounts that were doing early-stage research, not evaluating vendors. The data is most useful as a prioritisation input, a way to focus sales and marketing attention on accounts that are more likely to be in an active buying cycle, not as a trigger for aggressive outreach.

How you integrate intent data into your marketing process matters as much as which provider you choose. The data needs to flow into a workflow that sales can act on without creating additional administrative burden. If a rep has to log into a separate dashboard to see intent signals, most of them will not. The signal needs to surface inside the tools they are already using, which means CRM integration is non-negotiable.

The Sales Adoption Problem Nobody Talks About Honestly

I want to spend some time on this because it is where most ABM programs quietly fail, and it is almost never discussed in platform comparison articles.

Sales teams are not incentivised to engage with marketing programs. They are incentivised to hit quota. Any tool or process that adds friction to their day without a clear, immediate payoff in pipeline or closed revenue will be deprioritised. That is not a criticism of sales teams. It is a rational response to how they are measured.

When I was building out the performance marketing function at a large agency, we had a period where we were producing genuinely useful account intelligence for the new business team and seeing almost none of it used. The intelligence was good. The problem was that we were delivering it in a format that required the BD team to change their workflow to access it. Once we moved the signal into the tools they were already in, adoption went up immediately. The insight had not changed. The friction had.

For ABM platform selection, this means asking a different set of questions than the ones that typically appear in vendor evaluations. Not just “what does this platform do?” but “how does this platform surface information for a sales rep who is already in Salesforce for six hours a day?” The answer to that question should carry significant weight in your decision.

LinkedIn Sales Navigator deserves mention here because it is already embedded in how most B2B sales teams operate. Its integration with the major CRMs, its account and contact intelligence, and its familiarity to sales teams make it a useful complement to any ABM stack. It is not an ABM platform in the full sense, but as a sales-side tool that connects naturally to marketing’s account targeting on LinkedIn, it closes a real gap.

Account Selection: Where ABM Programs Win or Lose Before They Start

The platform conversation tends to dominate ABM discussions, but account selection is where the real commercial thinking happens. A well-configured ABM platform running against the wrong target account list will produce activity metrics that look fine and business results that disappoint.

The most common mistake I have seen is marketing building the target account list from firmographic data and ICP criteria without genuine input from sales. The list looks defensible on paper. It hits the right company sizes, industries, and revenue bands. But it does not reflect where sales actually has relationships, where the organisation has genuine competitive advantage, or where the commercial team believes the best opportunities are.

The account list needs to be a joint exercise. Marketing brings the data: ICP fit, intent signals, engagement history, look-alike modelling from your best existing customers. Sales brings the commercial reality: existing relationships, accounts where they have tried and failed, sectors where the product genuinely wins, and the competitive dynamics in specific verticals. Neither perspective alone produces a list worth running a program against.

Getting the budget allocation right across your target account tiers matters too. Most ABM programs segment accounts into tiers, with the highest-investment, most personalised treatment reserved for a small number of strategic accounts. That segmentation should drive your platform requirements as much as anything else. A team running a tight Tier 1 program of 50 accounts needs different capabilities than one running a Tier 3 program at scale across several thousand accounts.

Measurement That Reflects How ABM Actually Works

ABM measurement is genuinely different from demand generation measurement, and most teams underestimate how much their reporting infrastructure needs to change to reflect that.

In demand gen, you are measuring volume: how many leads, at what cost, converting at what rate. In ABM, the relevant questions are different: are the right accounts engaging, are deals progressing faster in accounts where we are running a coordinated program, is our average deal size higher in accounts we have been working for six months or more, and are we getting into more buying cycles earlier?

Pipeline influence is the metric that tends to carry the most weight in mature ABM programs, but it requires agreement between marketing and sales on what counts as influence before the program starts. If you define it after the fact, you will end up in attribution arguments that undermine the program’s credibility internally.

Deal velocity is underused as an ABM metric. If accounts where marketing has been running a coordinated program for three months are moving from first meeting to proposal faster than accounts where they have not, that is meaningful evidence of program impact. It does not require perfect attribution. It requires a comparison you can make with confidence.

The marketing process framework you build around measurement matters as much as the metrics themselves. Agreeing on a monthly account review cadence between sales and marketing, where you look at account engagement, pipeline status, and program activity together, creates the feedback loop that keeps the program calibrated. Without that cadence, marketing is optimising in the dark and sales is not using the intelligence being generated.

A Practical Stack for Different Team Sizes

Rather than a ranked list of platforms, here is how I would think about the stack at different scales.

For teams running a focused Tier 1 program of 20 to 100 accounts with a small but aligned sales team, the most effective approach is often to start with your existing CRM, add a quality intent data feed through Bombora or G2, and use LinkedIn for account-matched advertising. The investment is modest, the sales adoption curve is manageable, and you can demonstrate commercial impact before committing to a more expensive dedicated platform.

For mid-market teams with a larger account list and a sales team of 20 or more, a dedicated platform like Terminus or a HubSpot ABM configuration gives you the workflow automation and account-level analytics that become necessary at scale. The key question at this stage is whether your sales team is genuinely using the CRM in a way that allows marketing activity to be connected to pipeline data. If not, fix that before adding another platform.

For enterprise teams running multi-tier programs across hundreds or thousands of accounts, with complex buying committees and long sales cycles, the investment in a platform like 6sense or Demandbase is more justifiable. The predictive analytics, the advertising activation at scale, and the account-level reporting become genuinely necessary rather than nice-to-have. But even at this level, the platform is not the answer to the alignment problem. It is a tool that makes an aligned team more effective.

There is a broader set of considerations around how marketing operations teams structure their technology decisions that goes beyond any single program. The Marketing Operations section of The Marketing Juice covers those structural questions in more depth, from team design to process architecture to how you evaluate and retire technology over time.

The Questions Worth Asking Before You Sign Anything

I want to close with the questions that I think matter most in an ABM platform evaluation, because they are rarely the ones that appear in vendor scorecards.

First: does your sales team have a champion for this program? Not a sponsor who has approved the budget, but someone in the commercial team who genuinely believes in the approach and will advocate for it internally. Without that, the program will struggle to get traction regardless of the platform.

Second: what does your account selection process look like, and who owns it? If marketing is making that decision alone, you are starting from a structural problem that no platform will fix.

Third: how will you measure success in a way that both marketing and sales find credible? Agreeing on this before you start is not a bureaucratic exercise. It is what prevents the program from being quietly defunded when the first quarterly review comes around and the MQL numbers do not tell the story you need them to tell.

Fourth: what is the minimum viable version of this program? The temptation in ABM is to build the full architecture before you have evidence that the approach works in your specific context. Starting smaller, proving commercial impact, and then scaling is almost always the better path. It is also the path that keeps sales engaged, because they see results before the novelty wears off.

If you are thinking about how outsourcing parts of your marketing operations might affect an ABM program, that is worth thinking through carefully. The account intelligence, the sales-marketing coordination, and the commercial judgment that makes ABM work are hard to outsource cleanly. Execution, amplification, and specific channel management are more separable.

The marketing process question that sits underneath all of this is whether your organisation is structured to act on account intelligence in a coordinated way. A platform surfaces signals. People have to decide what to do with them, and then do it, in a way that is coherent across the sales and marketing boundary. That coordination is the hard part. The technology is the easy part.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

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