Sales Execution Comes Into Focus Across Strategy, Messaging, and AI

One of the more useful pieces of research from the past two weeks looked at a fairly basic question: 

“Can your managers and sellers actually explain how they are supposed to achieve the sales objective in front of them?”

The answer, according to new findings highlighted by Ignite Selling and the Sales Management Association, is far from universal.

Elsewhere, we saw experimental research challenge some familiar assumptions about B2B messaging, more attention on what happens after sales training, and further movement from AI assistance towards systems that can take actions inside revenue workflows.

Let’s dive into the developments that stood out most, and what they could mean for revenue and enablement teams.

New research highlights the gap between sales strategy and execution

On September 17, Ignite Selling published new research conducted with the Sales Management Association involving management-level sales effectiveness and sales leadership practitioners at 97 firms. Sixty per cent of the participating firms reported more than $100 million in annual revenue.

Only 58% said most of their salespeople could articulate a coherent plan of action for achieving a specific, quantified sales objective. Managers performed better at 76%.

The performance differences reported alongside that were substantial.

Among firms where managers could articulate a coherent sales strategy, 84% reported meeting their firm sales objective. Among those where managers could not, that fell to 36%.

This is survey research, so I would be careful with the causal interpretation. We can’t conclude that teaching managers to explain the strategy will suddenly move goal attainment from 36% to 84%.

The association is still worth taking seriously, though. 

The same study found firms that clearly communicated how seller roles needed to change in support of a new strategy were more likely to report meeting their sales objective, at 82% versus 33%. Where organisations also recalibrated learning, coaching, and development around the change, the figures were 83% versus 25%.

For enablement, I think this gets at something that is easy to miss.

You can have a sales methodology, train the team on the right skills, and give managers plenty of material to reinforce. But sellers still need to understand how those capabilities connect to the specific commercial priorities they are being asked to execute now.

If the strategy changes, that translation has to reach the level of priorities, decisions, expected behaviours, and manager coaching.

Otherwise, people can be perfectly well trained and still execute the wrong thing.

A neuroscience study challenges some familiar B2B messaging assumptions

Allego published new neuroscience research on B2B sales messaging on September 15.

Working with cognitive neuroscientist Dr Carmen Simon, the company tested four different ways of framing the same message with 102 participants working across sales, marketing, and customer success. Participants read a marketing email and watched a product demonstration for a coaching solution, while researchers tracked attention, eye movement, and emotional response. Recall was tested again 48 hours later.

The four variations combined either gain or loss framing with either active or passive language.

The strongest-performing version was Gain/Active – messaging focused on a positive outcome while giving the reader a sense that they could influence it.

That version held attention 31% longer than the Loss/Passive version and produced 31% better recall after two days than the Loss/Active version. Meanwhile, 67% of people exposed to Loss/Active messaging identified it as a marketing tactic, the highest result across the four groups.

There are some obvious limitations here.

This was vendor-produced research with a relatively small sample, and the participants were sales, marketing, and customer success professionals rather than a representative sample of every type of B2B buyer. The experiment also used a specific technology proposition.

So, I wouldn’t turn 102 participants into a new universal law of sales messaging.

Still, it provides an interesting challenge to a common assumption, namely, that the strongest message is necessarily the one that makes the potential loss feel most painful.

For enablement teams developing messaging and training sellers to use it, buyer agency may deserve more attention alongside pain, urgency, and consequences.

There is also a broader point here about how we build messaging. We often debate which wording sounds stronger internally. Experimental approaches like this are a reminder that message effectiveness can also be tested through attention, recall, response, and ultimately buyer behaviour.

AI agents are gaining more authority inside revenue workflows

AI was still a major part of the revenue technology news during the two-week period of this edition, although the individual developments are probably more useful than trying to turn them into another sweeping AI narrative.

Salesforce announced a new portfolio of Agentforce agents on September 14. Its outbound sales agent, Hunter, is designed to work across a pipeline over days or weeks rather than respond to a single request. 

Salesforce says the agent can pursue a goal, build a plan, incorporate new information, and determine when it can act autonomously or needs seller approval. Hunter is currently in pilot, with general availability planned for November.

Outreach’s September product release provides another concrete example. Omni can now create or update supported records, while the system pauses before changes to prospects, accounts, or opportunities and shows the user what it intends to do before asking for confirmation. 

HubSpot’s Fall 2026 Spotlight introduced a self-updating Smart CRM alongside expanded prospecting and deal-progression capabilities. Its Deal Progression functionality analyses emails, calls, and meetings to recommend actions, draft follow-ups, and update CRM data.

Zoom, meanwhile, introduced what it calls an AI-powered Revenue OS, combining Common Room buyer intelligence with conversation intelligence, sales engagement, and forecasting capabilities.

There are different product strategies sitting underneath those announcements, and I believe that the practical matter to consider for the revenue team is that as AI moves from reading and recommending towards writing and acting, permissions become part of workflow design.

Someone has to decide what the system can change, what needs approval, which sources it should trust, what happens when information conflicts, and where human judgement remains necessary.

Behaviour change and manager capability remain difficult

A September 24 research roundtable from RAIN Group and Alchemist brought together findings from recent studies spanning more than 500 sales and business leaders.

Among the findings previewed, 63% said maintaining accountability and execution was challenging, while 72% identified sustaining behaviour change as a challenge.

One of the underlying Alchemist studies surveyed 281 professionals across human resources, learning and development, talent management, people operations, and organisational development.

Just over half reported an increase in the proportion of managers meeting performance expectations. The remaining 48.5% reported no improvement or a decline.

There was also a sizeable gap between recognised problems and development priorities. Seventy-one per cent said building first-time manager capability was challenging, but only 17.3% selected it as a top priority.

Again, these are provider-led studies, so I would use the percentages directionally rather than as universal benchmarks.

But the manager problem appeared elsewhere during the same period.

A September 15 Sales Management Association session, Why Sales Training Fails – And What the Evidence Says to Do Instead, focused on what happens after formal training, particularly deliberate practice, measurement, and sustained development.

A separate September 22 session, Refocusing Sales Coaching to Improve Growth, focused on using coaching to diagnose and improve seller capability rather than allowing it to become primarily pipeline inspection.

These do provide another useful reminder that knowledge transfer and behaviour change are different problems.

If you want a new behaviour to survive after the programme ends, somebody still needs to create opportunities to practise it, observe it in real work, give feedback, and reinforce the standard over time.

Managers remain a major part of that system.

Revenue roles continue to stretch across more of the commercial lifecycle

There were also a couple of smaller organisational signals worth watching.

On September 15, Michelle Mango, VP of Revenue Acceleration at Quest Software, shared in Gong’s Visioneers community that her remit spans sales, presales, channel, customer success, and renewals. She also described a focus on connecting enablement work to outcomes such as pipeline growth, win rates, seller productivity, and faster ramp times.

At HubSpot’s UNBOUND event, Mark Deacon appeared as Chief AI & Revenue Operations Officer at Canibuild, with responsibility for go-to-market strategy and revenue transformation. His session looked at how Canibuild has applied AI across marketing, sales, and support. 

I wouldn’t infer a new organisational model from two examples.

But they are worth tracking because both illustrate how the work around revenue performance can cross boundaries that traditionally belonged to separate functions.

For enablement leaders, that can create both opportunity and ambiguity.

A wider remit creates more room to influence systems, management, customer experience, and revenue outcomes. It also makes ownership harder to define. If enablement, Revenue Operations, artificial intelligence teams, sales leadership, and customer success are all touching the same workflow, clear decision rights start to matter more.

Signals worth watching

Practice is receiving more attention after training

The Sales Management Association’s September 15 session made a helpful distinction between training and proficiency.

It argued that training can prepare someone to improve, but proficiency requires deliberate practice afterwards. The session focused on how sellers practise, how progress is measured, and how the organisation sustains improvement rather than treating the training event as the end of the intervention.

That is an event perspective rather than new market-wide evidence. Still, it is a useful area to watch as AI simulation and role-play make repeated practice easier to provide.

Coaching is being pulled back towards capability development

The September 22 Sales Management Association session on coaching focused on managers using performance data to identify development needs, diagnose performance gaps, and create a more consistent coaching cadence.

The notable part is the distinction from pipeline inspection.

Pipeline review may help manage the business. It doesn’t automatically develop the seller who is responsible for it.

Field execution is becoming more measurable

Quantified launched Field AI on September 22 for life sciences and other regulated commercial teams.

The product combines mobile preparation, short AI role-play, approved note-taking, CRM-ready summaries, and analysis of execution quality around field interactions.

This is a vendor announcement rather than independent evidence of outcomes.

The part I would watch is the measurement model: moving from whether an activity happened towards how well the person actually executed it.

That has much wider implications for readiness and enablement measurement if the underlying data can be captured reliably.

What I’m paying attention to

Managers keep showing up in the execution gap

This is probably the strongest recurring signal for me in this edition.

The strategy research puts managers in the middle of translating commercial priorities into action. The leadership research highlights ongoing problems with manager capability and sustained behaviour change. The coaching discussions focus on whether managers are developing people or mainly inspecting the pipeline.

Different sources. Different questions.

But they all make the manager layer hard to ignore.

For enablement teams, that means manager enablement probably deserves to be designed into major initiatives from the beginning rather than added as reinforcement after the seller programme has already been built.

Messaging should be treated as something we can test

The Allego research is one experiment, and I wouldn’t overstate it.

I do like the underlying approach.

Messaging work is often built from stakeholder preference, seller feedback, competitive analysis, and what sounds compelling in a workshop.

While those inputs matter, we can also test how people respond.

Attention, recall, buyer engagement, conversion, objections, and progression through a deal can all give us evidence about whether the message is doing what we intended.

AI governance is becoming operational

We used to be able to discuss AI governance primarily in terms of policy, approved tools, data security, and acceptable use.

Action-taking agents add another layer.

If the agent can update an opportunity, enrol a contact, trigger work, draft buyer communication, or pursue an objective over time, governance becomes something that has to be designed inside the workflow itself.

The Outreach approval step point highlighted earlier is a simple example of what that can look like in practice.

Worth reading / watching

Sales managers who can articulate strategy are more likely to hit goals – The most useful research item in this edition for thinking about how strategy gets translated into frontline execution.

The Psychology of Messaging – An interesting experimental challenge to some familiar assumptions about loss framing, buyer agency, attention, and recall.

The Behavior Change Breakdown – Useful for the current data and discussion around manager performance, accountability, execution, and sustaining behaviour change.

Why Sales Training Fails – And What the Evidence Says to Do Instead – A useful framing of the gap between learning something and becoming proficient through deliberate practice.

Outreach September 2026 release notes – Worth looking at because it shows how human approval and action-taking AI are starting to be designed together in a live revenue workflow.

The bigger picture

This wasn’t a two-week period with one obvious market story.

The strongest developments were spread across sales strategy, buyer messaging, manager capability, technology, coaching, and organisational design.

The strategy research raises questions about whether commercial priorities are actually reaching the field in a form people can execute. The messaging study gives us something new to test in buyer communication. The manager research brings reinforcement and behaviour change back into focus. And the technology announcements are making questions about context, permissions, and human judgement increasingly practical.

For enablement leaders, I would use all of this as a set of checks on the system you already have: 

• Do people understand what they are trying to achieve? 
• Can they execute it? 
• Are managers reinforcing it? 
• Is the messaging working with buyers? 
• And as more technology enters the workflow, are the right people still making the right decisions?

Regardless of how much the technology advances, these are timeless questions for assessing whether the system itself is well designed.