10 &#8220;Simple&#8221; Ways to Increase Your Win Rates

Dear SaaStr: What Can I Do To Increase My Win Rates?

Two years ago, the answer to this question was mostly sales execution. Hire a better VP of Sales, train on competition, run a real bake-off, review your lost deals.

All of that still matters. But three things changed in the Age of AI that make a lot of the old playbook incomplete:

AI-native competitors ship weekly and often price at a fraction of what you charge. A product that was competitive 12 months ago can be a quarter behind today.
Buyers are cutting existing software to pay for AI. In Redpoint’s survey of 141 CIOs this year, 45% of AI budget came out of existing software lines and 54% said they’re consolidating vendors. Every deal you’re in is now competing against a budget line, not just a competitor.
Some of your buyers are agents. At SaaStr, our AI VP of Marketing (10K) is now the primary user of Clay, ZoomInfo and Artisan. It evaluates, it picks, and it kills vendors.

The math is worth doing before anything else. With the same pipeline, going from a 10% win rate to 15% is 50% more new bookings. No new leads, no new reps. It’s the cheapest growth you’ll find.

Here’s how I’d approach todau.

#1. If Win Rates Dropped Materially in 12 Months, Check the Product Before the Sales Team

This is the step most founders skip, because blaming sales is easier.

Pull your win rate from 6 months ago and compare. If you’re closing roughly the same percentage of deals, the product is likely still competitive and the problem is execution. If win rates are down materially, it almost always is the product.

Three quick checks:

What’s happening to net new logos? This is the metric founders hide best. Price increases, premium tiers and expansion can hold the ARR line up for a long time while new customer count goes flat. If net new logos have been flat or down for two straight quarters, your product or your pricing is losing deals. Your win rate is just where it shows up first.
Are you doing real evals, and are you dropping in the ranks? Too many aren’t too objective evals of where they truly, objectively sit vis-a-vis the competition. See $100M ARR Gorgias’ example below.
What’s your release cadence? If you’re shipping quarterly and your competitors ship weekly, your reps are fighting with one hand tied. No sales training fixes that.

If this is the problem, a new VP of Sales won’t save you. They’ll hit the same wall, faster and more professionally.

Everyone should publish the deepest, most direct competitive evals they can

Will there always be some bias? Yes

But @gorgiasio did it the right way in ecomm CX:

👉Open-sourced the whole harness
👉8,356 live conversations, 18 vendors
👉#1 in support, but they show Yuma… pic.twitter.com/nxajajk3Qc

— Jason ✨👾SaaStr.Ai✨ Lemkin (@jasonlk) September 25, 2026

#2. Force-Rank the Top 3 Feature Gaps Every Week, With Sales in the Room

Figure out why you’re losing, then close the gaps. Closing even one or two of the gaps that come up in every lost deal can move win rates a lot.

The discipline is the force-ranking. Get sales, product and CS together every week and make them rank the Top 3 gaps. If you don’t, you’ll get an endless stream of requests driven by whichever deal was lost most recently. Everyone together can agree on three.

The AI Age change: the cycle time for closing a gap has collapsed. Owner.com went from a customer complaint on a Friday (a restaurant owner frustrated with her food photos) to shipping Owner Photographer on Saturday. Your competitors can do the same. A Top 3 list that sits for two quarters is a list of reasons you’ll keep losing.

#3. Your Pricing Model Is Now Losing You Deals

Price used to be a negotiation lever late in the cycle. In 2026 the pricing model itself decides deals, often before your rep knows they’re in one.

The pattern we see as a buyer: a lot of established B2B vendors now charge three times. Human seats, then agent seats or credits, then high-priced API calls and storage on top. AI-native competitors are often close to free on usage. Buyers notice, and agents notice even faster.

Three examples from our own buying this year:

10K killed a vendor its own agent had shortlisted within 12 hours. Premium pricing with no conversion data, multi-month minimums, and scarcity framing in the pitch. It ran the numbers, passed, and moved on to other options without being asked. That vendor’s rep probably logged a “no decision.”
We left Marketo after being one of its first 10 customers. The renewal came with a 12% increase after five years of raises, and the API was usable for about an hour a day for our agents. We would have stayed at $20K-$25K a year with higher API limits. They lost the renewal on pricing structure, not price.
We integrated a leading product that double charges for agent access in the end, but it was an endless battle. Our agent fought us on it the whole way. That vendor won the deal. They’ll have a hard time winning the renewal.

Salesforce has run three Agentforce pricing models at once ($2 per conversation, then Flex Credits at about $0.10 per action, then per-user “digital labor” licenses). If they’re still figuring it out, you’re allowed to test. Put a usage or per-resolution option next to the seat in your next 20 deals and track the win rate on each.

#4. Make Sure an Agent Can Evaluate You Without a Sales Call

Agents are now a top-5 source of traffic to SaaStr’s sites. And when our agents need a tool, they pick fast. One of our agents rebuilt our sponsor pages with heat mapping in about two hours and chose Microsoft Clarity for it on its own, with no search and no evaluation.

That means you can lose deals you never knew you were in.

What wins with an agent evaluating:

Pricing published on the website, not “contact sales”
Real API docs and an MCP server
A trial key or sandbox that works without a demo call
API limits that don’t punish automated usage

None of this replaces your sales team on the bigger deals. But the shortlist increasingly gets built by software, and if you’re not on it, your win rate on the deals you do see goes down because the best-fit ones never reached you.

Your buyers aren't human anymore.

Agent traffic to Stripe docs 10x'd in a single year.

"By the end of this year agents will read more Stripe docs than humans," says Maia Josebachvili.

"Go-to-market is the tip of the iceberg." pic.twitter.com/elXvcC9qye

— SaaStr.ai (@saastr) October 10, 2026

#5. Qualify Harder at the Top, and Double Down Where You Already Win

Win rate is a fraction. A lot of “low win rate” problems are really denominator problems: too many deals in pipeline that were never going to close.

At SaaStr, in one month this year 70-71% of our closed-won deals came from AI-qualified inbound leads via Qualified. Our historical average before AI was 29-34%. The agent has closed more than $1M on its own. The big lift was that every inbound visitor got qualified and routed in real time, so our humans spent their time on buyers who were actually ready.

Then look at where you already win and narrow your focus there. If you’re closing at 30% in one segment or vertical and 8% everywhere else, move marketing and SDR spend toward the 30%. Use case studies and references from your happiest customers in that segment. Prospects want proof that you solved the same problem for someone like them.

#6. A Warm, In-Market Prospect Is Still Not an Easy Close

I was recently a warm, in-market buyer for fund back-office software. I engaged with the vendor first on LinkedIn. What came back: two generic template emails, then a link to a boilerplate overview deck locked behind a lead-capture form.

Being in-market doesn’t make a buyer easy. Switching vendors carries real migration risk and cost. The new vendor has to clear a high bar to justify that switch, and every lazy touch lowers your odds. Pre-sale attentiveness is how a buyer predicts post-sale care.

With AI research tools in every rep’s hands, there’s no excuse for an outreach email that shows no research. Have someone (you, ideally) read 20 raw outbound emails and listen to five real calls this week. Not the AI summaries. The actual emails and calls. You’ll find deals you’re losing in the first touch.

#7. Score Every Sales Call, Not a Sample

The fastest win-rate improvement I’ve seen recently was at Owner.com. Back when they were around $21M ARR, they took win rates from 38% to 53% in 10 weeks by using AI to score sales calls and coach against the results.

The change is coverage. A great sales manager might review 5% of calls. AI can review all of them, against the same rubric, every day. Kyle Norton, Owner’s CRO, has a rule worth copying: don’t let individual reps run their own agents. Build the scoring and coaching system centrally so everyone is measured the same way and the playbook improves for the whole team.

Today Owner averages $2M+ ARR per rep, roughly 4x what their SMB competitors get per rep. Call scoring alone didn’t get them there. But it’s the piece most companies can start on this quarter.

#8. Get Hands-On During Trials and Bake-Offs

If you’re losing during pilots, the most common cause is that your competitor was more involved. More calls, more customization, someone who flew out, someone who got the customer to first value faster.

The best AI-era companies took this further. When we started using Replit, Amjad assigned us their best forward-deployed engineer, Kody, who still works with us today. That level of attention on a small-on-paper account is part of why we’ve stayed. Palantir’s re-acceleration was built on bootcamps and forward-deployed engineers, not a new pricing page.

You don’t need to do this for every deal. Do it for every deal that’s in a head-to-head bake-off, because that’s where the win rate gets decided.

#9. A Great VP of Sales Still Moves Close Rates 50% or More

A great VP of Sales can increase close rates by 50% or more. It really works. If your close rates haven’t improved at all under your current head of sales, be honest about why.

The best ones embrace competition instead of running from it. At EchoSign, Brendon Cassidy made competing against other vendors a game for the team. Most of our prior reps had struggled in competitive deals. Once the team learned our real strengths and weaknesses relative to each competitor, win rates went up. Train your team on handling FUD and on two or three specific competitive advantages they can prove in a demo, not a list of 15 features.

In 2026, the great VP is also the one actually using AI in the sales process. ICONIQ’s 2026 GTM data has AI-forward companies at 67% quota attainment versus 59% for lower-adoption peers. Some of that gap is quota setting. But a VP who can’t tell you how AI is scoring calls, qualifying leads and prepping deals on their team is running a 2023 playbook.

#10. Run Fewer, Better Sellers on the Right Deal Sizes

Reps chasing deals too big or too small for their experience lose more. Match reps to the deal sizes they’re equipped to handle. It’s a simple change with a big impact.

The bigger 2026 shift is that you probably need fewer reps, and better ones. At SaaStr, our human sales team is down to 1.5 people through natural attrition, with no backfills. Agents handle all outbound and SDR work. Because our agents give us visibility into every lead and account, we can concentrate the best opportunities on the humans who close. Revenue is higher than it was with the larger team.

Fewer reps working better-qualified, right-sized deals will close at a higher rate than a bigger team spread across everything.

#11. Work Your Lost and Ghosted Deals With Agents. But You Have to Really Train Them Well.

Every lost deal is data. Do a real post-mortem on every loss above a certain size: why you lost, to whom, and what would have changed it. Look for patterns monthly and feed them into the Top 3 gap list.

Then go back after them. We pointed Agentforce at about 1,000 leads our sales team had ghosted or written off, and the win-back sequence hit 72% open rates. At SaaStr AI Annual, Salesforce and PayPal shared how PayPal’s mid-market team had roughly 8,000 leads a month that no human ever called. With agents working them, meeting conversions went up 50% in 14 weeks.

Your lost and stalled deals are the cheapest pipeline you have. In most companies nobody is working them.

A 10% -> 15% Win Rate Is 50% More Bookings From the Same Pipeline

Don’t try to go from 7% to 70%. Get to 10% first, then 15%. Each step is worth a lot.

The hardest part of B2B is getting into deals. If you’re already getting leads and opportunities, you’re halfway there. In 2026, start by checking your product, your pricing model and whether an agent can evaluate you without a call. Then fix execution: qualification, every touch, every call, every bake-off, every lost deal.

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