---
title: "How to use proposal analytics to increase your win rate"
description: "Use proposal analytics to increase your win rate: measure win rate by segment, pick the signals that predict a yes, and turn each into a timely follow-up."
canonical: "https://pr-102.preview.formlio.com/blog/proposal-analytics-increase-win-rate"
locale: "en"
type: "post"
date: "2025-08-11"
category: "Product Tips"
alternates:
  fr: "https://pr-102.preview.formlio.com/fr/blog/comment-augmenter-votre-taux-de-conversion-grace-aux-analyses-de-propositions.md"
---

# How to use proposal analytics to increase your win rate

![](https://cdn.formlio.com/content/928b1af92ba2a5699036c1fbcfd05ab416e7ba81-5760x3240.jpg)

Win rate is usually treated as a score you check once the period is over. Read your proposals as live behaviour instead, and every open, reread and forward tells you what to do next.

BASELINE

## Measure your win rate by segment before you read any analytics

Win rate is the share of proposals you win out of the proposals you send. A high blended rate can hide weak pitches, because referrals and cold leads behave differently. Split your rate by lead source, project size and service before you trust it, or any analytics you add will tell you nothing useful.

Ask a studio owner for their win rate and you usually get a gut number. Ask them to split it by where the lead came from and the conversation changes. A warm introduction from a past client arrives with trust attached. A cold inbound request from a stranger comparing studios is a different sport. Blending them into a single figure tells you very little about either.

Sales teams already rank lead sources differently, and HubSpot's reporting below shows how. If referrals are your best leads, a strong blended win rate can simply mean you had a good run of referrals, while your cold pitches quietly lost.

So before you look at a single open or scroll, build a baseline you can trust. Record every proposal you send, not only the ones you win. Tag each with its lead source, its rough size and the service it covers. Then calculate the rate per segment and keep the blended figure as a footnote.

- **15%** of sales professionals identify customer referrals as the best source for high-quality leads ([HubSpot State of Sales Report](https://blog.hubspot.com/sales/sales-email-templates-to-get-and-keep-buyers-attention))

Illustrative example: the maths is simple. Divide proposals won by proposals sent. Say a studio sends 20 proposals in three months and wins 6 of them. Split that same stretch and the picture sharpens: 4 wins came from 6 referral proposals, and only 2 wins came from 14 cold proposals. The blended figure described neither group.

This is also the honest answer to whether a high win rate is good. For warm referrals a high rate can be ordinary. For cold, competitive pitches the same rate would be exceptional. Published averages for RFP teams and government contractors come from formal tenders with scoring sheets, so they are a poor yardstick for a brand studio pitching a founder over coffee.

[New research from the PRCA](https://prca-uk.prezly.com/average-pr-agency-spends-ps11k-on-pitching-every-year-new-research-3188969), a study of senior agency professionals, found that the average agency undertakes 27 pitches to win new contracts every year, with 62 hours spent on average per pitch.

**Log these fields for every proposal you send**

| Field | Why it matters |
| --- | --- |
| Lead source | Referral, inbound, outbound or repeat client: the biggest driver of win rate |
| Service and project size | Shows which work you win easily and which you chase |
| Decision makers | Who signs, who influences, and who you have actually met |
| Sent date and decision date | Reveals how long deals sit before a yes or a no |
| Engagement signals | First open, rereads, time on pricing, new viewers |
| Outcome and reason | Won, lost or ghosted, plus the reason in the client's own words |

SIGNALS

## Pick the proposal signals that predict a win

Track the signals that change what you do next: when the client first opens the proposal, whether they come back, how long they spend on scope and pricing, and whether new people from their side start reading. Ignore totals that only feel good. A signal earns its place if it triggers a specific follow-up.

Win/loss advice usually works backwards. You lose a pitch, hold a review, and promise to do better next time. Proposal analytics move that learning forward, into the days when the deal is still open. The proposal stops being a file you sent and becomes a record of what the client did with it.

The risk is drowning in data you never act on. Busy studios already drop things.

[Gong](https://www.gong.io/blog/data-shows-these-3-seller-mistakes-are-costing-you-time-and-money) says that 45% of sellers recently told it they have a critical action item or more fall through the cracks each week.

Adding a dashboard full of numbers to that week does not help. Picking a short list of signals, each tied to a rule, does.

The list below is the short version for creative work. Each signal answers a question you would otherwise guess at: did they see it, are they still interested, what are they stuck on, and who else is now involved?

**The signals worth tracking**

1. **First open time**: How soon after sending the client opens the proposal. A quick open means the project is live on their desk; a long silence means it slipped down their list.
2. **Repeat opens**: Clients reread proposals they are seriously weighing. Repeat visits, especially over several days, usually mean the proposal is being compared or discussed.
3. **Time on scope and pricing**: Long reads of the pricing section point to a budget question. Long reads of scope point to a fit question. Each needs a different follow-up.
4. **Time on case studies**: Attention on your past work means the client is still judging whether you are the right studio, not yet whether the price is right.
5. **New viewers**: When people you have never met start reading, your contact has forwarded it. The buying group is forming, and your follow-up should speak to them too.

Just as useful is knowing what to ignore. Total page views across all proposals, average session length across every client, and device splits rarely change a decision. They describe your pipeline; they do not tell you what to say to the person reading your pitch right now.

The signals matter because they let you speak first.

[Gong](https://www.gong.io/blog/data-shows-these-3-seller-mistakes-are-costing-you-time-and-money) found that communication that is not a direct response to a buyer's communication has the highest potential to increase win rates.

Waiting for the client to write back is the default. Reading the signals gives you a reason, and a topic, to reach out before they do.

ACTION

## Turn each signal into a follow-up you send within a day

When a client opens your proposal but does not reply, follow up within a day and make the message about the section they spent time on, without saying you watched. Unopened proposals get a short nudge, pricing rereads get options, and new viewers get a summary they can forward. Every follow-up adds something new.

Timing is where studios often lose ground.

[Gong's data](https://www.gong.io/blog/data-shows-these-3-seller-mistakes-are-costing-you-time-and-money) shows that 32% of the time, reps don't follow up within 24 hours.

[HubSpot](https://blog.hubspot.com/sales/sales-follow-up-infographic) notes that 44% of sales reps follow up with a prospect only once before giving up.

A creative studio does not need a sales team's cadence, but it does need to show up while the proposal is still open on the client's screen. A practical window comes from a sales writer's own habit.

Writing for [HubSpot](https://blog.hubspot.com/sales/follow-up-email-after-meeting-networking), the author says they send a follow-up within 24 to 48 hours of a call when they genuinely have insights they didn't get to share.

Use the table below to decide what that something to share is.

**Match the signal to the follow-up**

| Signal | What it suggests | Follow-up |
| --- | --- | --- |
| Not opened after a couple of days | It got buried, or went to the wrong person | Short note with the key outcome in the subject line; ask who else should see it |
| Opened, then silence | Interest, but no urgency yet | Share a relevant case study or a timeline question that moves the decision forward |
| Repeated pricing reads | A budget question they have not asked | Offer tiered options, a phased scope or different payment terms |
| Long time on scope | Unsure the scope fits their need | Offer a short call to walk through the scope blocks |
| New viewer joined | Your contact is selling you internally | Send a brief summary your contact can forward to the new reader |
| No engagement at all | The deal is not real yet | Qualify out politely and spend the time on live pitches |

Never lead with what you saw. "I noticed you spent a long time on pricing" makes a client feel watched. Let the signal decide the timing and the topic, then write a normal, helpful message that brings something new.

[HubSpot's guidance](https://blog.hubspot.com/sales/sales-email-templates-to-get-and-keep-buyers-attention) is to add something new in a follow-up, such as a case study, a relevant resource or a direct question, rather than restating the original pitch.

[HubSpot](https://blog.hubspot.com/sales/follow-up-sales-email-templates-instead-checking-in) says a thoughtful follow-up email boosts the chance of a reply by 49%.

Wording matters too, and some familiar openers work against you. The chart below shows how common phrases changed the number of meetings booked in follow-up emails.

**How follow-up phrases change meetings booked**

A friendly opener helped; guilt-tinged openers cost meetings.

|  | Change in meetings booked (%) |
| --- | --- |
| Hope all is well | 24 |
| Following up | -5 |
| Never heard back | -14 |

Source: [Gong: Scientific tips for writing the perfect follow-up sales email](https://www.gong.io/blog/7-tips-for-writing-the-perfect-follow-up-sales-email-according-to-science)

The lesson for creative studios is about tone, not tricks. Phrases that hint the client owes you a reply ("never heard back") cost you the conversation. Warm, specific messages keep it going. When pricing is being read but not accepted, change the proposal, not only the email: split the scope into tiers, offer a phased start, or adjust payment terms so the first yes is easier.

WORKED EXAMPLE

## Follow a small studio as it lifts its win rate

Follow an illustrative brand studio over a few months. It logs its signals for every proposal, attaches a follow-up rule to each, and changes its pricing blocks when clients stall. Wins by signal group show where the extra wins came from, and a short win/loss review closes the loop for the next batch of pitches.

Illustrative example, not client data: a 6-person brand studio sends 20 proposals over three months and wins 6 of them, at an average fee of $25,000. It starts logging first open, repeat opens, time on pricing and new viewers for every proposal, and adopts the follow-up rules from the table above.

After three months, the log shows a clear split. Proposals that were reopened and read by a new viewer won far more often than proposals opened just a single time. Pricing that was read for over 2 minutes without a reply was the usual stall, so the studio rebuilt its pricing section into 3 tiers and added a phased start. Over the next three months it again sends 20 proposals and wins 8 of them. At the same average fee, those 2 extra wins add $50,000 in revenue.

**Illustrative example: next-period results by signal group**

| Signal group | Proposals | Won |
| --- | --- | --- |
| Reopened and new viewer joined | 6 | 4 |
| Reopened, single viewer | 5 | 2 |
| Pricing read over 2 minutes, then tiered follow-up | 4 | 2 |
| Opened a single time or never | 5 | 0 |
| Total | 20 | 8 |

The studio closes the period with a short win/loss review against the signal log. For each lost pitch, it asks what the signals said at the time and what it did about them. Often the answer is that the client went quiet and nobody called.

[First Round](https://www.firstround.com/sales-craft) writes about the sellers who notice a prospect went quiet after the demo and pick up the phone instead of sending a follow-up email.

The review also tells the studio when to stop chasing. Endless nudges rarely revive a pitch that has gone cold.

[HubSpot](https://blog.hubspot.com/sales/follow-up-sales-email-templates-instead-checking-in) says a second follow-up only increases reply rates by 3.2%.

The same [HubSpot guide](https://blog.hubspot.com/sales/follow-up-sales-email-templates-instead-checking-in) puts the average reply rate after a follow-up email at 6.9%.

So the studio's rule is simple: a single well-timed, useful follow-up per signal, then a phone call, then a polite close if nothing moves.

All of this depends on having the signals in the first place. A Formlio proposal is a web document, so it reports back: you get a notification when the client opens or approves it, see who viewed it and how many times, how long they spent on each section, and whether it was shared with other stakeholders. If pricing is the stall, Formlio's interactive quote lets clients compare tiered packages and toggle optional add-ons with the total updating as they go, then approve or sign inside the same document.

![A laptop on a studio desk showing a proposal layout beside a notebook and printed sketches](https://cdn.formlio.com/content/pexels-7014405)
*Review the signal log against won and lost pitches after every batch.*

*Photo: George Milton*

## FAQ

### How do you calculate RFP win rate?

Divide the proposals you won by the proposals you submitted, then express it as a percentage. Count every submitted proposal, including the ones that went quiet, and calculate it per segment as well as overall.

### What is the average RFP win rate?

Published averages mostly come from RFP software vendors and government contracting, where deals follow formal scoring. They make a poor benchmark for creative studios. Your own rate, split by lead source and service, is the number to improve.

### Is a high win rate always good?

Not always. A very high rate can mean you only pitch safe referral work or price too low. Look at it per segment and alongside average fee and pipeline volume before deciding it is good news.

### What proposal analytics should a freelancer track?

Keep it short: when the client first opens the proposal, whether they come back, how long they spend on pricing and scope, and whether new people start reading. With Formlio, these appear for every proposal you send.

### How soon should I follow up after a client opens my proposal?

Within a day is a good rule, while the proposal is still fresh. Make the message useful, such as a relevant case study or a question about timing, and never mention that you saw them open it.

### Can proposal tracking be used without feeling intrusive to clients?

Yes. Use the data to decide when to reach out and what to talk about, not as content for the message. A well-timed, helpful note feels attentive; quoting their reading time back at them feels like surveillance.

### How do I run a win/loss review for lost creative pitches?

List each lost pitch with its signals and your follow-ups, then ask the client briefly why they chose otherwise. Look for patterns across lead sources and pricing sections, and change your proposal or follow-up rules accordingly.

## Know what happens after you hit send

Send proposals as web documents that report every open, reread and forward, so your next follow-up lands at the right moment.

[Start free](https://pr-102.preview.formlio.com/templates)

## Sources

1. [HubSpot State of Sales Report](https://blog.hubspot.com/sales/sales-email-templates-to-get-and-keep-buyers-attention)
2. [New research from the PRCA](https://prca-uk.prezly.com/average-pr-agency-spends-ps11k-on-pitching-every-year-new-research-3188969)
3. [Gong](https://www.gong.io/blog/data-shows-these-3-seller-mistakes-are-costing-you-time-and-money)
4. [HubSpot](https://blog.hubspot.com/sales/sales-follow-up-infographic)
5. [HubSpot](https://blog.hubspot.com/sales/follow-up-email-after-meeting-networking)
6. [HubSpot](https://blog.hubspot.com/sales/follow-up-sales-email-templates-instead-checking-in)
7. [Gong: Scientific tips for writing the perfect follow-up sales email](https://www.gong.io/blog/7-tips-for-writing-the-perfect-follow-up-sales-email-according-to-science)
8. [First Round](https://www.firstround.com/sales-craft)

## Related

- [Why sales proposals fail and what top closers do differently](https://pr-102.preview.formlio.com/blog/why-sales-proposals-fail)
- [Your proposal is being ignored. Here's how to fix that](https://pr-102.preview.formlio.com/blog/how-to-fix-ignored-proposal)
- [Proposal follow-up email: how to get a reply from a client who went quiet](https://pr-102.preview.formlio.com/blog/proposal-follow-up-email)
- [Ten essential tips for creating engaging proposals that convert](https://pr-102.preview.formlio.com/blog/tips-creating-engaging-proposals-convert)
- [Four actionable strategies for proposals that win clients](https://pr-102.preview.formlio.com/blog/actionable-proposal-strategies-win-clients)
- [How to spot problematic clients before you write a proposal](https://pr-102.preview.formlio.com/blog/spot-problematic-clients-before-proposal)