Results

What a sprint produces

Three worked examples of what each sprint typically delivers for a mid-size B2B company, built from industry benchmarks and our own program experience. Every number is explained so you can check it against your own database.

A sales team reviewing a pipeline report together
Photo slot: photo-results.jpg — a small team looking at a report or dashboard, one person pointing, candid

Illustrative scenarios Modelled from industry benchmarks and our own program experience, not named clients. As programs complete they're replaced with attributed case studies.

31meetings in 30 days from one dormant database
29 vs 3meetings from a single webinar, against the old follow-up
39% → 91%inbox placement after a two-week Health Check
306×pipeline created against the sprint fee
An IT services office with engineers at desks
Photo slot: photo-case-it.jpg — IT services or consulting office, people at desks, 16:9
IT services180 peopleHubSpot42,000 contacts
Scenario 1 · Dormant Pipeline Sprint · 30 days

Six years of leads nobody had emailed in a year

31meetings booked
$765kpipeline created
$2,500sprint fee

Starting point. Six years of inbound leads, event lists and closed-lost deals. 38,400 contacts had received no email in over 12 months. Marketing sent one newsletter a quarter to the whole list; open rate had drifted down to 11%.

What we did. Validated the list (removed 4,100 dead addresses), segmented by original source and role, and ran a four-email re-permission sequence over three weeks with volume warmed up gradually. Responders were scored and routed to the right rep with their history attached. Non-responders were sunset.

  • Dormant contacts emailed34,300
  • Opened at least once9,600 · 28%
  • Clicked or replied1,240 · 3.6%
  • Re-permissioned into nurture4,900
  • Meetings booked for sales31
  • Qualified opportunities, day 309

Benchmark basis: B2B re-engagement to properly cleaned lists typically sees 20–35% unique opens and 2–5% engagement; 2–3% of engagers take a meeting when handoff is immediate and personal. One in three meetings becoming a qualified opportunity is a conservative B2B assumption. Average deal $85k.

A presenter delivering a webinar from a studio desk
Photo slot: photo-case-event.jpg — someone presenting a webinar or on stage at a tech event, 16:9
Data & AI consultancyMicrosoft partnerWebinar640 registrants
Scenario 2 · Event Pipeline Sprint · 30 days

One webinar, three tracks, twenty-nine meetings

29meetings held (3 previously)
$480kpipeline created
7.3%registrant-to-meeting rate

Starting point. Previous webinars got one "thanks for attending" email with the recording link. Sales received the full registrant list as a spreadsheet and called the top of it for a week.

What we did. Three tracks built before the event: attendees (recording, the one slide people asked about, an offer to review their setup), no-shows (recording plus three takeaways), and registrants who never engaged (a short re-permission). Six emails over 21 days, plus an alert to the rep whenever someone clicked "review my setup".

  • Registrants640
  • Attended live262 · 41%
  • Watched the recording (no-shows)118
  • Requested a setup review47
  • Meetings held29
  • Qualified opportunities8

Benchmark basis: B2B webinar attendance runs 35–45% of registrations; a well-built follow-up program converts 4–8% of registrants to a meeting request, versus under 1% from a single thank-you email. Average deal $60k.

A SaaS marketing team at a whiteboard
Photo slot: photo-case-saas.jpg — small SaaS team around a laptop or whiteboard, bright office, 16:9
SaaS90 peopleMailchimp26,000 subscribers
Scenario 3 · Inbox & Database Health Check · 2 weeks

Open rates had collapsed, and nobody had checked where the emails landed

91%inbox placement, up from 39%
3×open rate in three weeks
11,000more contacts reached per send

Starting point. Open rates had fallen from 24% to 9% over eight months. The team had rewritten subject lines three times.

What we did. Placement tests showed 61% of mail going to spam at Gmail and Outlook. DMARC was missing, DKIM was signed for a domain the company no longer used, and 3,800 addresses had been bouncing for months. We fixed authentication, removed the bounces, suppressed complainers, and rebuilt sending volume over ten days to the most engaged segment first.

Before
39%inbox placement
After
91%inbox placement
Before
9%open rate
After
27%open rate, week 3

Benchmark basis: authentication and list-hygiene failures are the most common cause of sudden B2B open-rate drops. Fixing them typically restores placement to the 85–95% range within two to three weeks of controlled warm-up. Health Check fee $950, credited to the sprint that followed.

What we'd expect for your database

Rules of thumb we use to size a reactivation sprint before you commit. Bring your numbers to the free review and we'll run them together.

85–92%contacts that survive validation
20–35%unique opens on a cleaned dormant list
2–5%click or reply rate
2–3%engagers who take a meeting
6–12meetings per 10,000 dormant contacts
25–35%meetings that become qualified opportunities
1 dealbreak-even on a $2,500 sprint
7–12 daystime to first meeting

Run the numbers for your database

Ranges reflect B2B technology lists with an average deal size above $20k. Results depend on list quality, how the contacts were originally acquired, and how quickly sales follows up.

Client stories

Attributed case studies and testimonials will appear here as programs complete. Our first three clients receive founding rates in exchange for sharing their results.

See the founding-client offer

Want to see it on your own data?

Book the free review. We'll size your dormant database and give you a realistic range of meetings before you spend anything.

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