Proposal and RFP statistics 2026: win rates, workload, and AI

Proposal teams in 2026 answer more RFPs with teams that are no bigger: the average organization responds to 166 RFPs a year, spends 33 hours on each, and wins 39% of them, according to Loopio’s 2026 benchmark. Most teams now use generative AI to keep pace, while buyers use AI to research vendors and then check what it tells them.

The statistics below are grouped to show how those shifts connect, from the workload inside proposal teams to the way buying groups read what those teams send.

How we selected these statistics. Every figure on this page was checked against its original, publicly accessible source on 8 October 2026. Each one is reported as the source states it, with what it measures, who measured it, and when. Where a source gives two figures for the same metric, we explain the difference. Figures we could not verify at the source were left out. Research published by vendors, including vendors of proposal and sales room software, is labelled as vendor research.

RFP statistics on workload: more bids, same team size

Loopio’s RFP Response Trends & Benchmarks Report, now in its seventh annual edition, analyzes data from more than 1,500 teams worldwide. Its 2026 workload figures show volume growing while teams stay the same size.

• 166 RFPs a year. The average organization responds to 166 RFPs a year, up from 153 the year before (Loopio, 2026).
• 33 hours per RFP. Teams spend an average of 33 hours on each response, down from 35 (Loopio, 2026).
• Eight people per team. Average RFP team size has been 8 people for the fifth year in a row, and nine people contribute to each RFP on average (Loopio, 2026).
• 55% of received RFPs answered. Organizations respond to 55% of the RFPs they receive, down from 63% the previous year (Loopio, 2026).
• Bandwidth is the top challenge. Teams rank bandwidth as their number one challenge (Loopio, 2026).
• 30% to 40% of revenue. RFPs influence between 30% and 40% of total revenue, a range Loopio reports as fairly consistent since 2019 (Loopio, 2026).

Responsive’s 2026 State of Strategic Response Management report, based on more than 1,100 senior decision-makers and practitioners, describes the same pressure from the demand side. 84% of organizations say buyers have tighter budgets, 82% say buyers expect faster response times, and 67% say bid, proposal, and strategic response teams are under increasing pressure.

The two reports point to rationing. Volume is up, hours per response are down, and the share of received RFPs that teams answer has fallen. Qualification is also loosening: Loopio reports that teams sticking to go/no-go decision criteria dropped to 75%, an 8-point decrease from 2024. That is the backdrop for the win rate figures that follow.

RFP win rate and advancement benchmarks

The headline RFP win rate in Loopio’s 2026 report is 39%: “On average, teams win 39% of their RFPs.” The same page also cites 45%, and the two figures are often quoted as if they were interchangeable. They measure different periods.

Use 39% to compare a team against the current year and 45% as the longer-run benchmark. Loopio presents the 45% figure as the more competitive target.

The loss data is just as telling. Price has remained the primary reason for bid losses since 2021, and competition, which tied with price at 61% the year before, has cooled to 55%. Only 13% of teams attribute losses to proposal quality (Loopio, 2026).

The data does not explain why advancement fell eight points. It does show that teams rarely see the proposal itself as the reason they lose, which is worth testing against the buyer-side data later on this page. Our guide on how to respond to an RFP covers the qualification and review steps that this section’s numbers put under pressure.

AI in proposal teams: adoption is near universal, proof of return is not

Generative AI is now standard practice in proposal teams.

• 79% use generative AI. Adoption among RFP teams rose from 68% the previous year to 79% (Loopio, 2026).
• 62% generate specific answers with AI. That is a 16-point rise from 2024 (Loopio, 2026).
• 77% increased technology spend. Organizations that increased spend on strategic response management technology rose from 70% to 77% (Responsive, 2026).
• Around two-thirds see a return within a year. Around two-thirds of organizations achieved positive ROI on their AI investments for strategic response management within the first 12 months, up from fewer than half the year before (Responsive, 2026).
• Nearly a quarter cannot tell. Nearly a quarter of respondents cannot confidently say how many of their AI tools are delivering positive returns (Responsive, 2026).
• 81% versus 60%. In Responsive’s maturity index, 81% of the most mature organizations (“SRM Leaders”) use AI tools for strategic response management, compared with 60% of the least mature (Responsive, 2026).

Broader sales enablement statistics show the same gap between adopting AI and running it well. In Highspot’s 2026 GTM Performance Gap report, 76% of leaders say AI adoption is moving faster than their operating model can support, and 96% of organizations say they have a clear growth and revenue strategy, yet only 53% report highly consistent outcomes. Highspot’s public page does not state the sample size or survey dates; Highspot sells sales enablement software.

AI shortens drafting. None of these sources show it fixing qualification, review, or the way buyers read the result. For a closer look at where AI helps and where it does not, see can AI write your proposals and RFPs.

How B2B buyers evaluate vendors with AI in 2026

The proposal is rarely the buyer’s first impression of a vendor any more. AI answers often come first.

• 51% start with an AI chatbot. Half of B2B software buyers (51%) now start their research with an AI chatbot more often than with Google, up from 29% in G2’s 2025 Buyer Behavior Report (G2, April 2026). G2 surveyed 1,076 B2B software buyers and decision-makers in March 2026.
• 71% use chatbots at some point. 71% rely on AI chatbots at some point in their research process (G2, April 2026).
• 69% changed vendor. 69% of buyers chose a different vendor than initially planned because it was part of the chatbot’s recommendation (G2, April 2026).
• One in three bought from an unknown vendor. One in three purchased from a vendor they had never previously heard of (G2, April 2026).
• 63% used AI, 94% of them verify it. In TrustRadius’s 2026 B2B Buying Disconnect report (1,862 technology buyers and 444 technology vendors), 63% of buyers used AI during their purchase journey, and 94% of those buyers fact-check its responses at least some of the time (TrustRadius, July 2026).
• 83% shortlist three or fewer products, 74% use reviews. Shortlists are short, and peer reviews still inform most purchase decisions (TrustRadius, July 2026).
• 94% use AI in the buying process. Forrester’s Buyers’ Journey Survey of nearly 18,000 global business buyers finds that nearly all business buyers (94%) report using AI during their buying process (Forrester, January 2026).

The usage figures differ (63% in TrustRadius, 94% in Forrester) because the samples and questions differ: TrustRadius surveys technology buyers about a specific purchase journey, Forrester surveys business buyers globally. Neither should be averaged with the other. What they agree on is the pattern: AI widens the list early, and buyers then check claims against demos, trials, reviews, and people they trust.

Buying groups are larger than any single proposal reader

Forrester’s State of Business Buying 2026 shows how many people a proposal has to persuade.

• 13 internal stakeholders and nine external influencers are involved in the typical buying decision, with the number rising for complex or strategic purchases.
• Group size doubles for AI purchases. When a purchase includes generative AI features, the buying group doubles compared with purchases without them (14 members versus seven) (Forrester, 2026).
• 53% of cycles include procurement as a decision-maker, engaging from the start of the process.
• More than 60% of business buyers use a trial, and 78% of buyers making purchases of $10 million or more engage in a trial first.

A proposal written for the evaluator who issued the RFP reaches a fraction of that group. The rest may read it forwarded and out of context, after researching the vendor with AI. Our guide to the B2B buyer journey maps where each of those stakeholders enters.

Digital sales room statistics: nearly half of rooms see no engagement

Digital sales rooms were meant to solve the forwarding problem by giving the whole buying group one shared space. Flowla’s State of Digital Sales Rooms research (published February 2026, updated April 2026) analyzes more than 30,000 deal rooms created in Flowla and surveys more than 100 practitioners. It is vendor research from a digital sales room provider, so read it as one platform’s data.

• About 48% of rooms get no engagement. Flowla reports that about 48% of deal rooms created never get any engagement, citing its own research without naming the dataset.
• Interactive demos are rare. Interactive demos appear in just 2.9% of the rooms Flowla analyzed; buyers engage most with formats they can skim, watch, or share internally.
• Seven days to first view. The average time between creating a room and its first view is 7 days.
• 18.8 sessions per room. Rooms that are used average 18.8 sessions, with a 2-day average cadence between visits.
• Stale rooms are the top problem. Reps not keeping rooms updated is the top problem practitioners cite, at about 60% of respondents.

Set against Forrester’s 13 internal stakeholders and nine external influencers, a room that goes unopened, or opens a week late, leaves most of the buying group to judge the vendor on whatever reaches them second-hand. Our explainer on what a digital sales room is covers how teams set them up.

What these proposal statistics mean for proposal teams

Taken together, these proposal statistics describe teams producing more responses, faster, for buying groups that are larger, more skeptical, and harder to reach. Four practical changes follow from the data.

Qualify before you write. With 55% of received RFPs answered and go/no-go discipline slipping to 75%, the hours saved by AI are best spent on fewer, better-qualified bids rather than more submissions.

Write claims a buyer can verify. 94% of buyers who use AI fact-check it, and 74% use reviews. Every claim in a proposal should point to evidence the buyer can check: a case study, a reference, a security document, a named result.

Write for the people who never attend the presentation. With 13 internal stakeholders and nine external influencers in a typical decision, structure the response so that procurement, finance, and technical reviewers can each find their section without reading the rest.

Measure engagement after you submit. If nearly half of shared deal rooms see no engagement, the work continues after submission. Zoomforth microsite analytics show who visited a proposal, when, and for how long, what they looked at and what they missed, with real-time email alerts when a visitor is on the site. That turns follow-up from guesswork into a response to what each stakeholder actually read.

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