This Week in Sales: What’s Moving the Industry

10 key stories + a practical Sales Tip of the Week to boost performance.

In Today’s Email

  • Top 10 stories this week

  • Tip of the week

  • Podcast of the week: Jon Bradshaw

  • And more!

News of the Week

Sales teams using AI now generate 77% more revenue per rep
A new study from Gong — analyzing 7.1 million sales opportunities across 3,600+ companies — found that businesses embedding AI into their sales workflows report a 77% higher revenue per sales rep.


Why it matters: Embedding AI isn’t optional anymore — when properly used, AI can dramatically amplify rep performance and overall revenue yield per head.

 

Salesforce raises full‑year forecast as AI‑powered Agentforce adoption surges
Salesforce lifted its fiscal 2026 forecast after its AI‑agent platform Agentforce (plus Data 360) hit nearly $1.4 billion ARR, with Agentforce alone surpassing $500 million ARR this quarter. 


Why it matters: This shows that large enterprise SalesOps stacks are rapidly shifting toward AI‑driven workflows — and AI‑powered tools are already delivering strong business results (pipeline, forecasting, productivity).

 

SalesOps teams under pressure as retailers and e‑commerce firms brace for holiday volume + complexity

As peak retail‑season demand (Black Friday / Cyber Week) surged globally, operations and SalesOps functions in retail/e‑commerce were tested on handling high order volumes, last‑mile logistics, and demand forecasting. 


Why it matters: When demand spikes, weak SalesOps/inventory/planning systems show their cracks. Organizations with robust ops, forecasting, CRM + automation are better positioned to meet demand, avoid stockouts, and maintain customer experience — which gives them a competitive edge.

 

Business intelligence (BI) and data integration become more essential for SalesOps success
Analysts and industry resources stress that BI — the tools and systems that turn raw sales data into actionable insights — is now a cornerstone for effective SalesOps.


Why it matters: In a world of increasing data volume (CRM data, behavioural data, AI‑agent outputs), having strong BI and data governance ensures decisions are accurate, timely, and scalable — a must for modern sales operations.

 

SalesOps as a critical lever for aligning sales, operations, supply‑chain & business strategy in 2026
With increasing volatility in sales cycles, demand, supply, and consumer behaviour, many businesses are repositioning SalesOps not just as “sales support,” but as a coordinating hub linking sales, supply chain, finance, and growth strategy.


Why it matters: This broadens SalesOps’ relevance — making it vital to company-wide health, forecasting, scalability, and growth, rather than just a department-level function.

 

Fullcast Appoints a New Chief Customer Officer

Fullcast announced Ryan Northington as its new Chief Customer Officer, reinforcing its focus on customer experience and enterprise adoption as the company scales its Plan-to-Pay RevOps platform.

 

Why it matters: Customer success + support functions are increasingly inseparable from sales and revenue execution. When the same org oversees sales planning, execution, and customer hand‑off, it helps avoid friction — which often kills deals, churn, or reduces renewals.

 

Microsoft reportedly lowers AI‑software sales quotas after soft demand
Some internal divisions at Microsoft have lowered their sales growth targets for certain artificial‑intelligence products after many sales staff failed to meet the original quotas.


Why it matters: This is a rare public sign that even major tech vendors are feeling pressure from slow AI adoption — meaning SalesOps teams using (or evaluating) AI‑driven tools may want to temper expectations. It underlines that AI isn’t a magic wand: without buyer readiness and clear value, sales quotas and pipelines remain fragile.

 

Sales Teams Powered by Agentic AI
Agentic AI, which includes autonomous agents that handle everything from prospecting to deal closing, is rapidly being embedded into modern sales teams.

 

Why it matters: If done right, this could radically change sales operations: agents doing repetitive workflows could free up reps for high-value work.

 

AI Sales Efficiency: When to Quit Conversations
A new academic model uses LLMs (large language models) to determine when a sales conversation is no longer productive. It reduced time spent on failed calls by 54%, while keeping nearly all upside.

 

Why it matters: Sales teams can use AI not just to engage, but to disengage strategically, improving rep efficiency and allowing more time for likely-to-convert leads.

Sales Tip of the Week: Balance AI Power with Buyer Readiness

Recent news shows that AI is reshaping SalesOps — boosting productivity, revenue per rep, and workflow automation. But adoption isn’t uniform: Microsoft’s lowered AI quotas and uneven enterprise uptake highlight a critical reality — AI alone won’t close deals.

What to do this week:

  • Audit your AI tools & workflows: Identify which parts of your sales process are AI-enabled (prospecting, lead scoring, outreach, forecasting).

  • Check buyer readiness: Make sure your prospects and accounts are prepared to engage with AI-driven outreach or demos. Tailor your approach if adoption is low.

  • Combine automation with human touch: Use AI to handle repetitive, high-volume tasks (data entry, lead enrichment), but ensure reps focus on high-value activities like relationship-building and closing deals.

  • Monitor outcomes, not just activity: Track pipeline velocity, conversion rates, and deal health — don’t just count calls or emails. AI amplifies work, but strategy and timing still drive results.

Why it works: AI tools and automation can turbocharge your sales ops — but over-reliance without strategic oversight risks missed targets. The winners will be teams that leverage AI smartly while maintaining human insight and adaptability.

Podcast of the Week

Where Is AI Taking Us in 2026, with Jon Bradshaw:

Revenue teams are under more pressure than ever. From shifting buyer behavior to messy data layers, to the rise of AI-driven forecasting, today’s GTM leaders are fighting complexity on all fronts. And while everyone is talking about “doing more with less,” few are addressing the real culprit behind stalled revenue growth: organizational friction.

Amy Cook, co-founder and CMO at Fullcast and host of the Silicon Slopes Go-To-Market Podcast, sits down with Roee Hartuv, Senior Pricing Advisor & Head of GTM Expertise at WillingnessToPay.com, to unpack one of the most overlooked threats to modern GTM: the hidden drag created by siloed sales, marketing, CS, and ops teams.

The result? Slower deals, broken handoffs, and GTM motions that simply don’t scale.

If you’re trying to scale, improve efficiency, or finally get your revops stack to actually work together, this is one episode you don’t want to miss.

Listen and subscribe on Spotify, iTunes, and YouTube.

Did you hear? Fullcast published a book! 

The RevOps Advantage reveals how the best revenue teams operate like world-class pit crews—driving alignment, executing seamless handoffs, and making every move data-driven. 

Co-authors Ryan Westwood, Dr. Amy Osmond Cook, and Bala Balabaskaran break down why nearly half of RevOps leaders are investing in AI for sharper insights, and how you can use automation to deliver the accelerated growth your board needs.

Amy Osmond Cook, PhD

Cofounder and CMO at Fullcast
[email protected]
(949) 813-0182