Account-level intent doesn't tell sales who to reach out to first - that's usually where the ABM handoff breaks down.
Buying groups don't move as one - treating a whole account as "hot" wastes sales time on stakeholders who haven't actually engaged.
Modern ABM has two jobs: targeting the right accounts, and collecting and activating engagement data down to the individual people in the buying group.
Mapping content to persona pain points and tracking engagement at the contact level turns a raw list of names into a clean, "outreach ready" handoff for sales.
Compared to a matched, unreached control group, reached contacts book meetings at close to double the rate - and contacts who clicked convert into pipeline at roughly 2.18x.
The 6 ABM trends shaping B2B growth in 2026
The biggest ABM trends in 2026 aren’t simply about adding more AI, data, or automation.
They’re about making those capabilities useful to sales. B2B teams are moving beyond account-level intent toward a more practical model: identifying the people behind engagement, mapping content to their role in the buying group, and giving sales a clear reason to act.
Here are the six shifts we unpacked with Influ2, and how to act on each one.
1. Buying-group engagement is replacing account-only intent
Account-level intent still helps you decide where to look, but it’s no longer enough to guide sales outreach.
A single researcher, webinar attendee, or website visitor can make an entire enterprise account look active, even when the budget holder and the wider buying group haven’t engaged at all.
The more useful question in 2026 isn’t “which accounts are in market?” It’s “which people inside this account are engaged, what role do they play, and what should happen next?”
That’s the gap our account-based ABM programmes are built to close.
2. AI is helping teams interpret signals, not just generate more activity
AI is a defining ABM trend for 2026, but its value isn’t limited to writing ad copy or automating account scores.
The more practical use is helping teams interpret a growing volume of engagement data and decide what to do next.
Instead of waiting for a perfect lead score, teams can use engagement signals to see which topics resonate with a buying group, which personas respond, and where sales should focus.
The goal isn’t more data. It’s clearer prioritisation.
3. Contact-level intelligence is becoming the practical next step in ABM
One of the most important ABM trends in 2026 is the shift from account-level reporting to person-level activation.
Traditional ABM platforms can show that an account is engaged. Contact-level approaches add the context sales needs: which individual was reached, which messages they saw, whether they clicked, and how that fits the wider buying group.
This turns an account list into an outreach-ready workflow.
Rather than telling an SDR to “go work this enterprise,” marketing can name the roles to prioritise and hand over the engagement history behind them. It’s the core of our contact-based ABM work.
4. Persona-based content sequencing is replacing generic account messaging
In 2026, personalisation should mean more than dropping a company name into an ad or email.
Effective ABM maps content to the different people involved in the decision. A technical leader, an economic buyer, a procurement contact, and an executive sponsor won’t respond to the same message.
Identify the core personas in the buying group, understand their likely concerns, and sequence content across awareness, problem framing, solution fit, and proof.
That’s the backbone of persona-based marketing.
| Buying-group role | Likely question | Content focus |
|---|---|---|
| Technical leader | Will this work with our stack? | Integration, security, implementation |
| Economic buyer | Is the investment justified? | ROI, risk, business case |
| Procurement or operations | Can we buy and deploy this efficiently? | Process, compliance, onboarding |
| Executive sponsor | Why change now? | Strategic impact, competitive risk |
5. Sales and marketing alignment is becoming an operational SLA
Sales and marketing alignment isn’t a new idea. The 2026 shift is making it operational.
Instead of handing sales a vague list of engaged accounts, agree in advance on what “outreach ready” actually means.
When engagement data lives in the CRM, sales doesn’t need to switch tools or trust a marketing dashboard. Reps see the activity history in their existing workflow and prioritise warmer contacts over cold outreach.
An outreach-ready ABM handoff should include:
- A shared target account and buying-group definition
- Role-specific content and messaging
- A documented engagement threshold
- Contact-level engagement context in the CRM
- An agreed sales follow-up owner and timing
- Closed-loop reporting on meetings, opportunities, and pipeline
6. ABM measurement is shifting from engagement to pipeline influence
Clicks, impressions, and engaged accounts help you diagnose campaign performance, but they aren’t the outcome.
The outcome is whether marketing activity helps sales create meetings, progress opportunities, and generate pipeline. That’s what our Pipeline Intelligence work is built to prove.
In this session, Influ2 shared a comparison between contacts reached through its platform (15 or more impressions or a click) and a matched, unreached control group.
Reached contacts booked meetings at close to double the rate, and contacts who clicked converted to pipeline at roughly 2.18 times the rate.
Evidence note: these are an Influ2 vendor benchmark, not a guaranteed outcome. Results vary by audience quality, message, sales process, offer, and data coverage.
How to apply these ABM trends in 2026
- Audit the signals your sales team receives. Can reps identify the people and roles behind account activity?
- Define your priority buying-group personas, starting with the roles that influence, approve, use, or block the purchase.
- Map content by persona and buying stage, replacing one-message-to-all-account campaigns with role-relevant sequences.
- Agree on the outreach-ready trigger before sales action is expected.
- Surface engagement data in the CRM, where sales already works.
- Measure meetings and pipeline, not engagement in isolation.
Want to see where your ABM programme sits today? Get a free pipeline readiness assessment.
Inside the session: contact-level ABM in practice
Most ABM programs are built to surface account-level intent: which companies are showing signals, which are in market, which are worth a look.
The problem is that “this account is active” doesn’t tell an SDR: who inside that account showed interest, what they engaged with, which buying group they belong to, or where outreach should start.
That’s where the handoff breaks. Marketing can report strong account engagement, but if sales can’t identify the people behind it, that engagement turns into guesswork, generic outreach, or no follow-up at all. And that’s where pipeline stalls.
In this VertoTalks On-Air session we did with Influ2, Ivailo Shipochki (Partner, Head of Inbound & Outbound Growth at VertoDigital), Paul Green (Director, Growth & AI Solutions at VertoDigital), and Anna Tsymbalist (Head of ABM at Influ2) dug into why the handoff keeps breaking, and what it actually takes to fix it.
Why buying groups make account-level signals unreliable
B2B buying groups have gotten bigger and messier. Tighter budgets mean more stakeholders get pulled into the decision, and the bigger the group, the more of them stay invisible to sales.
A single engaged researcher inside an account can look, on a dashboard, like the whole company is ready to buy. In reality, that person might not hold the budget, might not have raised it internally yet, and might just be shopping around. Without knowing who’s engaging and what role they play, sales has no way to tell if it’s real buying intent.
Marketing’s two jobs in modern ABM
The session framed this as an evolution, not a departure from ABM fundamentals.
Targeting the right accounts is still job one, and it’s the muscle most teams have already built. Job two is newer: collecting engagement data beyond the account level so sales can see who inside the account is actually paying attention.
That second job is what’s becoming possible now, through platforms like Influ2 and LinkedIn, in a way it simply wasn’t a few years ago.
Mapping content to personas, then syncing it with sales
Getting to person-level data doesn’t help if every contact in the buying group sees the same generic message. The recommendation from the session:
- Break the buying group into its core personas
- Map content to each persona’s pain points
- Build toward proof and credibility, so the group is warmed up by the time it’s flagged “outreach ready” for sales
That air cover doesn’t stop once outreach starts, either. Once an SDR sequence is live, the ads can mirror it - same narrative, same stage of the relationship, reinforcing the message through a second channel.
Getting sales to actually use the data
None of this works without a clear handoff. The speakers pointed to a simple but often-skipped step: an SLA between marketing and sales that defines exactly when an account and its contacts are “outreach ready,” based on real engagement thresholds, not a hunch.
When that engagement data lives directly in the CRM, sales isn’t being asked to trust marketing’s word for it. They can see the same timeline of impressions and clicks that marketing sees, which makes the handoff a shared view of the deal instead of a negotiation.
What the results look like
Influ2 shared their own benchmark, comparing contacts their platform actually reached (15+ impressions or a click) against a matched, unreached control group:
- Reached contacts convert into booked meetings at close to double the rate
- Contacts who clicked convert into pipeline at roughly 2.18x the rate
Looking at our own client work, we see the same pattern play out downstream: when marketing has done the work to sequence content by persona and build that air cover before outreach starts, cold accounts that get exposed to it consistently produce more booked meetings and more pipeline than cold outreach into accounts that haven’t been warmed up first.
Where to start, whether you’re new to ABM or already invested
For teams just getting started, the advice was to bring sales in from day one rather than trying to sell them on the program after it’s built. From a tech standpoint, LinkedIn is a low-lift place to start: no upfront licensing commitment, and access to the largest firmographic database available to build and test personas against.
For teams with more maturity, already running ABM infrastructure and with SDR bandwidth to support it, layering in contact-level platforms like Influ2 is the next step toward the most granular level of targeting and measurement.
The bigger mindset shift the session left the audience with: most ABM programs don’t need to be rebuilt from scratch. They need to evolve from measuring account exposure to measuring and acting on real, individual buying signals - because at the end of the day, deals close with people, not accounts.