Case studies · Anonymized · 13 engagements

What we've done.

Anonymized case studies from production engagements. Specific numbers, specific moves, real outcomes. Names redacted to honor customer confidentiality.

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Showing 13 of 13 cases
  1. Series B SaaS scaling outbound to 50k contacts/month
    B2B SaaSSeries BEmail

    32 domains, 96 inboxes, zero burned in 90 days.

    Existing setup: 8 domains, 24 inboxes, primary-tab placement collapsing below 60%. Reply rates falling, deliverability blocklists creeping in, primary sending domain at risk. Sales team blaming product; product team blaming sales.

    Fresh sending stack stood up parallel to the existing one. 32 separate sending domains registered and warmed for three weeks. 96 inboxes across them, three per domain, each sending 30/day. SPF/DKIM/DMARC tuned. Migration cut over inboxes over six weeks while we monitored deliverability per inbox in real time.

    98%+
    Primary-tab placement · 90 days
    0
    Inboxes burned

    We went from worrying about deliverability every Monday to not thinking about it at all.

    — Head of Growth
  2. Seed-stage AI company recovering from a domain burn
    AI-nativePre-PMFEmail

    Primary domain off the Spamhaus list in 17 days.

    Founder had been running outbound from their primary @company.com sending alias. Volume crept up, complaint rate spiked, Spamhaus blocked the root domain. Inbound demo requests stopped landing. Investors couldn't reach the team.

    Hard cut over to a separate sending estate within 48 hours. Three new domains registered, parked-then-warmed in parallel. Worked the appeal queue at Spamhaus with documented complaint-handling. Cleaned the original list, killed the worst-performing segments, restored sending discipline.

    17 days
    Time to delist
    0
    Days primary email was actually broken

    They moved faster than the team that caused the problem in the first place.

    — Founder & CEO
  3. Agency standing up outbound for 14 clients
    AgencySeries AEmail

    From spreadsheet chaos to one source of truth.

    Outbound agency running 14 active clients across as many sending stacks. No central monitoring. Inboxes randomly cooling off. Clients churning when deliverability dipped — by the time the agency noticed, it was already a fire.

    Centralized sending estate with per-client domain isolation. 84 inboxes across 28 domains, mapped to clients. Real-time bounce, complaint, and reply monitoring in a shared dashboard. Per-client warmup playbooks codified. Account-level Slack alerts when any client's deliverability score dropped.

    14 → 22
    Client roster · 9 months
    <2%
    Bounce rate, all clients

    We finally have a sending stack we can actually scale on. Onboarding a new client is now a one-day job.

    — Agency Founder
  4. Series A AI infrastructure startup
    AI-nativeSeries AMulti-channel

    Rebuilt the prospecting graph in 28 days.

    Outbound stack of four point tools and one SDR delivering a 0.4% reply rate. No signal layer. No first-party data in the prospecting graph. Tools-evaluation mode disguised as outbound.

    A forward-deployed engineer rebuilt the prospecting graph on top of their closed-won data, replaced the sequencer, and ran the entire motion from a shared Slack channel for 60 days. We tuned message frames off live reply data weekly.

    +5.8×
    Reply rate
    $1.2M
    Pipeline · 60 days

    We stopped being a tools-evaluation team and started being a sales team.

    — Head of Revenue
  5. Series B fintech running ABM into top-50 banks
    FintechSeries BMulti-channel

    Landed 7 named accounts in one quarter.

    Strategic 50-account target list. Generic outbound was not going to break in — these were buyers who got 60 cold emails a week. Sales team needed a per-account approach but had no bandwidth to research, draft, and follow up.

    One sequence per account, written off public signals. Each touch referenced something specific — a hire, a product launch, a regulatory filing, an exec quote. We ran the motion from the founder's email and routed every reply to a private Slack channel with the account context one click away.

    7
    Named accounts opened
    $3.4M
    ACV in pipeline

    I've never had outbound that actually sounded like me. They wrote in my voice better than I write in my voice.

    — Founder & CEO
  6. Cybersecurity startup with a 200k CRM list
    B2B SaaSSeries BEmail

    Reactivated a dormant CRM into 38 demos.

    200k contacts in HubSpot from three years of trade shows, webinars, and ungated whitepapers. List was rotting — no segmentation, no sending discipline, no recent contact. Marketing said "the list is dead." Sales said "give us new leads."

    Cleaned, segmented, and re-warmed the list in 90 days. ICP-scored against closed-won data. Pulled out the 12k accounts that mattered. Built per-segment sequences keyed off original engagement context ("You downloaded our SOC2 guide in 2024"). Ran on isolated sending infra so the primary domain stayed clean.

    38
    Booked demos · 90 days
    $1.8M
    Pipeline from a list everyone wrote off

    Turns out the list wasn't dead, it just hadn't been talked to like a human in three years.

    — VP Marketing
  7. AI infrastructure company entering the US market
    AI-nativeSeries AMulti-channel

    Closed 9 deals at SaaStr in 12 weeks.

    Eight weeks out from SaaStr 2026. 1,481 attendees, no US presence, no CRM hygiene, founding team still based overseas. Sponsorship was already paid for; the calendar was empty.

    Pre-event ICP scoring on 1,481 attendees. 45-person shortlist surfaced with intent signals. Two Allston Labs engineers on the SaaStr floor for three days running in-Slack triage with the founder. Nightly debriefs. Post-event sequencing for 90 days off the badge-scan list.

    112
    Qualified demos
    9
    Closed-won · 90 days

    Our US revenue went from zero to seven figures in a quarter. They were the team that made it happen.

    — Founder & CEO
  8. Series B healthcare platform at HLTH
    B2B SaaSSeries BMulti-channel

    Booked the booth solid four weeks out.

    HLTH was eight weeks away. Last year they had walked the floor with no plan and left with 14 badge scans, none of which converted. Marketing wanted to skip the year; founder said no.

    Attendee list pulled and segmented by buying committee. 320-person ICP shortlist scored against their closed-won data. LinkedIn-led sequence with a SaaStr-style "meet at booth 412" CTA. Calendar invites went out on the third touch. Onsite engineer ran the schedule from Slack.

    47
    Booked meetings
    $2.1M
    Pipeline · 60 days

    We walked into HLTH with our calendar full. Last year we walked in cold. Same conference, completely different week.

    — Head of Growth
  9. Dev tools startup at AWS re:Invent
    B2B SaaSSeries AMulti-channel

    From walk-up booth to scheduled enterprise pipeline.

    re:Invent. 65,000 attendees, an impossibly broad ICP, and a tiny booth in the back of the expo hall. Without a plan, the team would have gotten lost in the noise.

    Filtered re:Invent's attendee list down to 280 ICP targets. Personalized cold sequence three weeks pre-event, layered on a LinkedIn warm-intro path through their advisors. Booked 38 conversations across the four days. Post-event nurture for accounts that didn't convert to demos that week.

    38
    Onsite meetings
    11
    Active enterprise pipeline

    We stopped trying to win re:Invent by being loud. We won by being scheduled.

    — Founder
  10. YC W24 fintech mid-batch design partner motion
    FintechPre-PMFEmail

    32 design partners reached in 3 weeks. 6 paid pilots in 90 days.

    Two-founder fintech company, mid-batch. Working prototype and a 40-account ICP hypothesis from a previous role. No sending infrastructure, no copy, no list. Time was the binding constraint.

    Provisioned domains and inboxes during week one. Ran a 24-inbox warmup runway for three weeks while building the prospect graph, then launched into the validated list as warmup closed. First booked meeting day 19; 32 design partner conversations across weeks 3-6; 6 advanced to paid pilots inside 90 days. Founders stayed heads-down on product and discovery calls.

    32
    Design partners reached · 3 weeks
    6
    Paid pilots · 90 days

    Total engineering hours sunk into infrastructure by the founding team: under five.

    — Founder
  11. Series B SaaS · 4 AEs · 90 days
    B2B SaaSSeries BEmail

    32 domains, 96 inboxes, zero burned. Primary-tab placement above 98%.

    B2B SaaS company, Series B, four AEs, eight-figure ARR. Inherited a 12-domain sending estate from the batch era with two domains already blocklisted, no centralized warmup discipline, and a reply queue that ran from the head of sales' personal inbox.

    Rebuilt the estate from scratch with isolated subdomain architecture. 32 domains across two TLDs, 96 sending inboxes, corporate root unaffected. 28-day phased warmup before AEs touched anything. Seed-list testing across Gmail, Outlook, Yahoo, iCloud, and a representative Exchange tenant tracks 98%+ primary placement at a weekly cadence. Reply routing into AE-specific Slack channels with a four-hour triage SLA.

    98%+
    Primary placement · weekly
    0
    Domains burned · 90 days

    The AE team finally has a sending stack underneath them that doesn't go sideways every Monday.

    — VP Sales
  12. Series C marketplace · VP Sales engagement · 60 days
    MarketplaceSeries C+Multi-channel

    AE reply-to-meeting conversion from 8% to 22% in 60 days.

    Series C two-sided marketplace, six-AE team, mid-eight-figure ARR. VP Sales engaged us to diagnose a stalled outbound motion. Audit surfaced three root causes — replies sitting in a shared inbox averaging 19-hour first-touch, weak objection-handling on the four most common stalls, and a segmentation model that hadn't been refreshed in fourteen months.

    Deployed a reply-routing layer into AE-specific Slack channels. Four-hour SLA on first-touch. Built a per-objection response library off the closed-won and closed-lost transcripts. Rebuilt the segmentation model on the previous twelve months of pipeline data. AE team headcount unchanged.

    8% → 22%
    Reply-to-meeting conversion
    ~2.6×
    Pipeline-per-AE vs prior quarter

    First-touch reply time went from 19 hours to 2.1 hours median. The AEs noticed the next week.

    — VP Sales
  13. YC W24 · AI-native · Two technical founders
    AI-nativePre-PMFMulti-channel

    Zero to $200K ARR design partners in 4 months — while shipping product.

    Two-founder AI-native company, YC W24, both technical, no prior sales motion. Working prototype, two friendly logos from the founders' previous network, no ICP hypothesis with statistical support.

    Took over the upstream end-to-end. Domain provisioning, list build from a graph of three intent signals tied to the product surface, sequence library written off the founder's discovery transcripts, reply routing into a single Slack channel with a four-hour SLA. Shipped a signal-extraction integration off product telemetry that promoted accounts into the priority sequence on a behavioral threshold — built and deployed inside one week.

    8
    Design partners signed · 4 months
    $200K
    Aggregate ARR

    Founders ran two days of discovery calls a week. Everything else stayed on engineering.

    — Co-founder
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