Top 5 Trends That Will Impact Sales Operations in 2026 SalesOps 12 min Updated: July 23, 2026 Sales operations spent the last two years absorbing AI into an already-complex stack. 2026 is the year that absorption gets tested for real: Gartner’s research finds over 60% of sales teams now use generative AI, but only about one in three report genuine productivity gains from it. That gap, between adopting AI and actually getting value from it, is the thread running through every trend below. Gartner’s own framing for sales operations leaders heading into 2026 is blunt: the operating model that worked in the past is no longer relevant. Salesops has to reassess where it invests, moving away from generic tool rollouts toward sales transformation, real data analytics, and disciplined AI utilization. That’s a meaningfully different mandate than “add more tools” or “get buy-in for the tech stack,” which is roughly where this conversation sat a few years ago. Get our latest insights into your inbox What is Sales Operations (SalesOps)? Sales operations is the function responsible for removing friction from the sales process so reps can sell faster, more predictably, and with less manual overhead. It’s the team that builds and maintains the sales tech stack, designs process and territory structure, and increasingly, according to Gartner’s own research, supports five or more groups across the business while allocating roughly 68% of its time to nonclient-facing work. Sales ops has a direct line to revenue, and it’s become a more cross-functional, more analytically demanding role than the “keep the CRM running” job it used to be. The 5 Trends Shaping Sales Operations in 2026 1. AI Moves From Experimentation to Governed Execution The headline number for 2026 isn’t adoption. Adoption is already high. It’s the gap between adoption and results. With most sales teams now using generative AI in some form but only a third seeing real productivity gains, the sales ops mandate has shifted from “get AI deployed” to “figure out where it’s actually working and govern the rest.” Gartner names this directly as the top 2026 priority for chief sales officers: building a sales-centric AI portfolio roadmap tied to specific commercial outcomes, rather than a scattershot rollout of whatever tool looked impressive in a demo. What this looks like in practice: sales ops leaders auditing which AI use cases are tied to a measurable outcome (forecast accuracy, time saved per rep, faster deal-risk detection) and which ones are running on faith. The tools that survive that audit tend to be the ones grounded in real, complete data rather than inference, since an AI feature working from gaps produces confident, wrong output rather than a cautious one. 2. GTM Motions Get Rebuilt Around Buyer Preference, Not Rep Convenience The number of B2B buyers who’d prefer a rep-free purchase experience is at 67%, and buyers now weigh an average of seven information sources before a rep is meaningfully involved. But the same research found 69% of buyers still come back to a human rep specifically to validate AI-generated insights before finalizing a decision. The rep’s role hasn’t disappeared. It’s moved from primary information source to the point of confidence and validation at specific moments in the journey, and sales ops is the function responsible for redesigning the GTM motion around that shift rather than the old linear funnel. Marty OvermanEVP Americas Sales at Darktrace You don’t necessarily need a salesperson anymore. You need a sense maker. Someone who can help buyers make sense of all the data and information available to them. Practically, this means fewer generic top-of-funnel touchpoints and more investment in the specific moments that Gartner’s research shows still require a human: complex objection handling, contract negotiation, and validating a buyer’s own AI-assisted research. Sales ops teams that keep measuring rep activity the old way (call volume, email sequences) are optimizing for a motion buyers are actively moving away from. 3. Sales Ops Becomes the Data-Readiness Function for Agentic AI Clean data has been a Salesops priority for years. What’s different in 2026 is why it matters. MuleSoft’s 2026 Connectivity Benchmark found that half of enterprise AI agents currently operate in isolated silos, and Gartner projects 60% of AI projects will be abandoned through 2026 specifically because the underlying data wasn’t ready for AI to use. That reframes data quality from a hygiene task IT or RevOps handles in the background to a direct precondition for whether any of the AI investment in trend #1 actually pays off. The practical shift: Salesops teams auditing CRM completeness before, not after, rolling out an AI feature on top of it. A stage field that’s wrong, a stakeholder who was never logged as a contact, an activity that never made it into the opportunity record, these used to just produce a slightly-off forecast a manager could catch. Fed into an AI agent acting on that data directly, the same gaps produce a wrong output at machine speed, with nobody reviewing it first. 4. Buying-Group Intelligence Becomes a Formal Discipline, Not a Best Practice Multithreading has been “good advice” in sales for years. In 2026 it’s closer to a measurable operating requirement, because the buying committees it’s meant to cover have kept growing. Gartner puts the average B2B deal at 6 to 10 stakeholders, with enterprise deals frequently reaching 17 or more, most of whom never get added as a CRM contact unless something automatically catches them. Salesops teams are increasingly treating buying-committee coverage as a trackable metric, not just a coaching point: how many contacts are actually mapped per opportunity, how engaged each one is, and where coverage has gone stale. That requires detecting stakeholders from actual email and calendar activity rather than relying on a rep to remember to add them, which is a data-capture problem as much as a sales-process one. Dan JiaoVP RevOps & Strategy, Signifyd By far the most impactful tool to understand our buyers and their influence. Almost immediately we got the visibility we needed for a

10 B2B Sales Closing Techniques for 2026 Sales 11 min Updated: July 21, 2026 “How hard can you push a client to close a deal?” It’s still the wrong question, and it’s gotten more wrong since we first wrote this guide. Gartner’s 2026 buyer research found that 67% of B2B buyers prefer a rep-free experience, and buyers now weigh an average of seven different information sources that includes AI tools. All this happens before a rep is meaningfully involved at all.  A tactic designed to manufacture agreement doesn’t land well on a buyer who’s already done most of the homework and has little patience for anything that feels like a script. That doesn’t mean closing techniques stopped mattering. It means what “closing well” looks like has changed. 69% of buyers still turn to sales reps specifically to validate AI-generated insights. The seller’s role has shifted from primary source of information to source of validation and confidence at the specific moments a buyer actually needs it. Buyers who combine self-directed research with the right rep interaction at the right moment are 1.8 times more likely to complete a high-quality deal than buyers who go fully independent. Marty OvermanEVP of Americas Sales, Darktrace You don’t necessarily need a salesperson anymore. You need a sense maker who can help buyers make sense of all the data and information available to them. This guide keeps the techniques that hold up under that shift and replaces the ones that don’t. Get our latest insights into your inbox Why Old-School Closing Tactics Backfire Buying committees have gotten bigger and more skeptical. Gartner puts the average B2B deal at 6 to 10 stakeholders, with enterprise deals reaching 17 or more. The average B2B win rates have fallen to roughly 20%, with sales cycles running 38% longer than in 2021. There are more people in the room, more independent research happening before you’re in it, and less tolerance for anything that feels like pressure rather than partnership. The techniques below are built around that reality: buyers who are already informed, skeptical of scripts, and looking for a rep who reduces their risk rather than one who’s trying to manufacture urgency. The 10 B2B Sales Closing Techniques 1. Lead with their goals, not your script For senior buyers, the decision is close to binary: your product either meets a specific goal or it doesn’t. Consultative selling i.e. diagnosing the real problem before proposing anything remains the technique most aligned with what buyers actually want; multiple 2026 studies cite a strong majority of B2B buyers wanting sales reps to act primarily as advisors rather than pitchers. To do this well: Look past the sales script and ICP data. Ask what the actual person in front of you is trying to accomplish this year. Use the language they use to describe the problem, not your own terminology. Ask specifically, and early: “What does success on this initiative actually look like for you?” 2. Don’t lead with a discount Asking about goals is also how you qualify a deal.  A buyer with a clear, time-bound initiative and no objective evaluation criteria yet is a very different conversation than one already comparing vendors on price. If a buyer pushes for a discount before you’ve established value, start from a position of value, not concession. And never offer a discount before it’s asked for.  Buyers in 2026 are broadly more cautious with spend than in prior years. A rep who leads with price signals that price is the only thing worth discussing. 3. Use competitor comparisons as an opening, not a threat Buyers increasingly already know a competitor’s weaknesses before they talk to you. Independent research (reviews, analyst coverage, peer communities) surfaces vendor gaps that used to only come out in a sales conversation. Assume that, rather than trying to extract it.  Ask directly: “On a scale of 1 to 10, how well is [current tool] actually working for you?” Listen for where the gap is, then ask what would need to be true for it to be a 10. Use their own words to describe the gap, and confirm understanding before moving on. The goal is accuracy, not a gotcha. 4. Lead with a mutual action plan, sized to the real buying committee A mutual action plan maps out who needs to do what to close the deal, with dates attached. This matters more now than it did a few years ago, since the buying committee it needs to account for has grown. A MAP built for a single buyer doesn’t hold up against a committee that size. Cover three things explicitly: the realistic timeframe to close, what it costs both sides (due diligence, procurement, compliance), and who’s actually involved on each side. Send a written summary after the conversation and ask them to confirm it. That alone tells you a lot about how seriously the deal is being treated internally. 5. Use “we,” not “you,” when the stakes are shared A small technique, but a real one: replacing “you” with “we” when describing a shared goal (“we’re both trying to hit this timeline”) does more to build genuine partnership than most rapport scripts. It only works if it’s true. Use it when you’re actually aligned on an outcome, not as a rhetorical trick layered on top of a pitch. 6. Run a premortem before you ask for the close Before pushing a deal to the next stage, assume it’s six months from now and it falls apart. Work backward from there. Why did it fail? Did the champion lose internal support? Did budget get reallocated in Q3? Did a new stakeholder join and froze the decision?  This technique, borrowed from research psychology and increasingly cited in latest sales research, surfaces risks of a straightforward “any concerns?” question often misses, because it forces specificity instead of a polite “no, we’re good.” 7. Make the close easy, but only once the signals say it’s earned An assumptive close (“Would you prefer to start

Top 15 Guided Selling Tools for 2026 Sales 12 min Updated: July 20, 2026 Imagine planning to build a new house without knowing where to start. You have a rough idea of what you want, but you’re not an architect. A good architect takes your needs, preferences, and budget, and guides you through the decisions, materials, layout, features, that turn a vague idea into an actual house. A guided selling tool does roughly the same job for a sales rep facing a complex deal: it uses customer data and sales expertise to help reps (and increasingly, buyers directly) navigate a purchasing decision, offering personalized recommendations, answering questions, and steering the process toward a decision that actually fits. Get our latest insights into your inbox What Is Guided Selling? Guided selling is a structured approach to leading potential customers through the sales process, using current and historical sales data alongside customer information to help reps make tailored product recommendations and increase the likelihood of conversion. Picture shopping for a laptop online. A guided selling flow asks what you’ll primarily use it for, whether you need a large screen or something lightweight, how much battery life matters, and what your budget is, then recommends a shortlist based on your answers, with detail on specs, reviews, and ratings to help you decide. Guided selling works especially well for complex or high-value purchases, where buyers need more support to feel confident in a decision. Done well, it also builds the kind of trust that leads to a longer relationship rather than a one-time transaction. How Guided Selling Works in B2B SaaS In B2B SaaS, guided selling usually runs through a sales rep or customer success manager rather than a self-serve website flow. It starts with the customer describing their goals, and the guide using that context to recommend relevant products or plans, often supported by a live demo, case studies, or other content that helps the buyer understand how the product actually solves their problem. The Guided Selling Process Gathering customer information. Collecting data on the customer’s needs, budget, and constraints. Identifying pain points. Using that information, usually through targeted questions or a needs assessment, to surface what’s actually blocking the buyer. Providing recommendations. Matching the buyer’s needs to the specific product, plan, or configuration that fits. Presenting solutions. Walking through features, benefits, and pricing in the context of the buyer’s stated problem. Handling objections. Addressing concerns directly rather than avoiding them. Closing the sale. Facilitating the actual purchase once the buyer is confident. Follow-up and support. Making sure the customer is set up for success after the sale, not just after the signature. What Guided Selling Looks Like in Practice Automated sales playbooks. Guided selling depends on a consistent methodology, so the playbook itself needs to be automated and easy to follow, not a document reps have to remember to consult. Needs-identification questionnaires. A short, structured set of questions steers a buyer (or a rep) toward the right recommendation faster than an open-ended conversation would. Real-time responsiveness. A guided selling tool has to react to what’s actually happening in a deal as it happens. Responding to a live signal within minutes rather than hours meaningfully increases the odds of a sale. Pipeline visibility. A good guided selling tool gives reps and managers a clear view into pipeline health, surfacing at-risk deals and letting managers compare how reps are actually spending their time, not just what they report spending it on. Integration with the rest of the stack. Teams typically buy 10 to 15 tools but only actively use 3 to 6 of them, which makes integration a real constraint on a guided selling tool’s actual usefulness. A tool connected only to the CRM and email, with no visibility into content usage or engagement analytics, leaves reps guessing which sales material actually works at each stage. The more complete the data feeding it, the better a guided selling tool performs, which is exactly why the underlying data problem matters as much as the guided selling layer sitting on top of it. Top 15 Guided Selling Tools for 2026 Nektar, CRM data foundation and AI-guided deal signals HubSpot, marketing and sales analytics with guided reporting Salesforce CPQ, configure-price-quote guidance for complex deals Revenue.io, AI-guided sales methodology and real-time coaching ClickPoint, lead management and prioritization Aviso, AI-driven pipeline inspection and forecasting LevelEleven, performance scorecards and real-time coaching Zebrafi, cloud-based guided selling and pipeline insight DealHub, revenue workflow and guided selling playbooks Veelo, onboarding and content guidance in one platform Quark Docurated, content intelligence and recommendation Highspot, sales enablement with AI-guided content and coaching Seismic, enablement platform with AI-guided content and buyer engagement Tact.ai, edge AI for enterprise CRM guidance Vymo, guided selling for financial services Overview of the 15 Best Guided Selling Tools 1. Nektar Nektar’s role in guided selling is upstream of most of the tools on this list: it makes sure the CRM data a guided selling tool depends on is actually complete before that tool tries to guide anything. Data Foundation automatically captures every email, meeting, call, and calendar event across a team and writes it natively into Salesforce, HubSpot, or Dynamics, with zero rep effort required. Daisy AI then turns that captured activity into the specific signals guided selling depends on: deal risk flags, buying-group coverage, and MEDDPICC completeness, surfaced directly on the Salesforce Opportunity tab rather than a separate dashboard. Best for: Salesforce-first teams that need the underlying deal data reliable enough for both reps and any AI-guided tool sitting on top of it. 2. HubSpot HubSpot’s marketing analytics and dashboard tools let you track marketing and sales campaigns in one place, giving your team a shared, reliable data foundation to guide sales efforts from. 3. Salesforce CPQ Salesforce CPQ accelerates quoting, price management, and deal closing, giving reps structured guidance through configuration and pricing decisions on complex deals. Available in three editions, with the full Quote-to-Cash edition also supporting billing and collections. 4. Revenue.io Revenue.io uses AI to guide

5 Ways to Improve Your Sales Pipeline Visibility RevOps 10 min Driving the sales pipeline in an organization is like driving a vehicle. You have a goal, a rough map of how to reach your destination, and you want to avoid roadblocks and reach the end-point quickly. However, navigating a sales pipeline without proper visibility is like driving a car through the night without headlights. You might have a general idea of where you’re going, but you need help seeing the obstacles or opportunities ahead. Just as headlights illuminate the road and allow you to make informed decisions about your driving, sales pipeline visibility provides insight into the status of your sales opportunities. It enables you to make strategic decisions to move deals forward. 93% of sales organizations are unable to forecast revenue within 5% error, even in the two weeks prior to the end of the quarter. A lack of visibility can result in overestimating the company’s financial performance, leading to missed targets, misaligned resources, and poor decision-making.  Without clear visibility into the pipeline, sales teams may not be able to prioritize leads effectively, resulting in missed opportunities and lost revenue. Poor visibility can also make it difficult to identify and address inefficiencies in the sales process, leading to longer sales cycles and decreased customer satisfaction.  In this blog, we try to understand what sales pipeline visibility is, the ways to improve it, and the role of clean data in your sales pipeline visibility.    What is Sales Pipeline Visibility? Sales pipeline visibility refers to seeing and understanding the various stages of a company’s sales process, from lead generation to closing deals. Information in the form of data should be available to all revenue teams, including sales, marketing, finance, product management, and customer success.  The visibility in the sales pipeline allows sales managers and team members to track the progress of sales opportunities, identify potential bottlenecks or issues, and make informed decisions about resource allocation and sales strategy.  Typically, a sales pipeline comprises several stages: lead generation, qualification, needs analysis, proposal, negotiation, and closed-won. Stages of a Sales Pipeline: Lead Generation, Qualification, Needs Analysis, Proposal, Negotiation, Closed-Won. 1. Lead generation It’s the first stage of the sales pipeline, and it involves identifying potential customers. This can be done through various means, such as cold-calling, email campaigns, or social media outreach. 2. Qualification Once leads are generated, they need to be qualified to ensure that they are a good fit for the product or service being sold. This process involves gathering more information about the lead, such as their budget, timeline, and decision-making process, to determine whether they are likely to make a purchase. 3. Needs analysis In this stage, the sales team works with the potential customer to understand their specific needs and challenges, and how the product or service being sold can help address them. It helps tailor the sales pitch and personalize the proposal. 4. Proposal Once the customer’s needs have been analyzed, the sales team creates a proposal or quote that outlines the specific solution being offered, along with pricing and other details. 5. Negotiation After the proposal is presented, the sales team may need to negotiate with the customer to address any concerns or objections they may have. This may involve making adjustments to the proposal or offering incentives to help close the deal. 6. Closed-won The final stage of the sales pipeline is when the customer agrees to purchase the product or service, and the deal is closed. This represents the successful conversion of a potential customer into a paying client. Having good sales pipeline visibility means that you can track and analyze the progress of each sales opportunity at every stage of the sales process. It helps you forecast revenue accurately, plan accordingly, and identify areas where you can improve your sales process. Let’s see how organizations can improve their sales pipeline visibility: 5 Ways to Improve Sales Pipeline Visibility 1. Define clear sales stages Clearly defining each stage of the sales process is the first step in improving sales pipeline visibility. Each sales stage should have specific criteria determining when a deal moves to the next one. Sales teams can then accurately track where each value is in the pipeline and prioritize their efforts on deals most likely to close. Analyzing conversion rates between each stage helps generate more accurate sales forecasts. Additionally, clear sales stages promote accountability by identifying who is responsible for moving deals forward and preventing them from falling through the cracks. 2. Implement a CRM system A Customer Relationship Management (CRM) system is essential for improving sales pipeline visibility. By centralizing Dedicated CRM platforms like HubSpot centralize all customer and prospect data, so sales teams can easily track and manage their deals from a single platform. Sales reps can easily view the status of each deal, as well as any associated tasks, notes, and documents. Implementing a CRM system can increase sales productivity, improve customer relationships, and create a more efficient and effective sales pipeline. 3. Assign ownership and accountability By assigning ownership, sales teams can ensure that each deal has a designated owner responsible for moving it through the pipeline. This helps to prevent deals from falling through the cracks and ensures that there is someone accountable for each stage of the process. In addition to ownership, it’s also important to set accountability. This means that each team member should be responsible for specific tasks and activities within the sales process. For example, one team member may be responsible for scheduling meetings, while another may be responsible for preparing proposals. By assigning ownership and accountability, sales teams can streamline their sales process and improve visibility into the pipeline. This allows for better deal tracking, more accurate forecasting, and more effective decision making. 4. Use data analytics Data analytics can provide valuable insights into the performance of the sales pipeline. Analyzing data such as conversion rates, win/loss ratios, and sales cycle times can help identify areas for improvement