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Industries

Three industries where we've proven the number. Not six where we claim it.

We publish results only where we've run loops in production long enough to defend them: B2B Technology, Ecommerce and Real Estate. Every stat below is anchored — company size, baseline, timeframe. If your industry isn't here, read the last section.

↓ where most of our loops were born

B2B Technology

This is our home turf — 14 of our 22 production deployments are SaaS, dev-tools or API companies between $10M and $200M ARR. PLG funnels that don't leak, outbound that hits the right title, expansion that beats Year-1 churn. Every loop tied to a board-level number.

3.1×PQL → paid CVR$80M ARR dev-tools co · 2 qtrs · baseline 0.9%
+42%demo book-rateSeries C data-infra · 90 days · vs. SDR-only
−29%churn at renewal$40M ARR API platform · 1 renewal cycle
Mini case · anonymized

The dev-tools company whose trial funnel leaked 96%

  • Situation$80M ARR, 14k free signups/mo, 0.9% converted. Growth team of 3 drowning in undifferentiated trials.
  • DeployedSignup → PQL loop (week 2), ICP → Meeting loop (week 6). Wired into Segment, Snowflake, HubSpot — no CRM migration.
  • MovedPQL → paid CVR 0.9% → 2.8% in two quarters. Same traffic, same team of 3.
"The first board meeting where I presented pipeline without a single 'directionally' in the deck."
— VP GROWTH, DEV-TOOLS PLATFORM ($80M ARR)
Command Center · B2B Tech signals● live
productAcme Corp hit aha-moment — 3 seats invited, API key created→ PQL scored 91
intentNorthbeam hiring 8 SDRs + visited /pricing twice this week→ routed · Chen
usageVantage.io seat usage 94% of plan — expansion window open→ CSM briefed
riskCorelight renewal in 90d — usage decay + champion left→ save play
closedDatafold upgraded to Scale — $86k ARR✓ loop retrained
signals this week · 1,284 caught · 312 scored · 41 routed · 0 leaked

Wired into your stack — not replacing it

SalesforceHubSpotSegmentSnowflakeMarketo6senseOutreachLinkedIn Sales Nav

Who has to say yes — and what they'll ask

  • CMO / CROowns the number — gets the modelled pipeline before spend
  • RevOpsowns the CRM — gets scoped writes, full audit log, rollback
  • Securitygets SOC 2 Type II report + DPA before kickoff, not after
Weeks 1–2
First loop live

Pipeline audit, stack wiring, Signup → PQL loop shipping scores into your CRM. No migration, no seats to buy.

Weeks 3–6
Second loop + baselines

ICP → Meeting loop live. Baseline vs. loop cohorts split so the lift is measurable, not arguable.

Day 90
The number you defend

Board-ready readout: CVR delta, pipeline sourced, cost per opp — signed off by RevOps, not by us.

The four loops we deploy first

picked from the 22-agent catalog · calibrated for SaaS numbers

1 · Signup → PQL Loop

closes daily
For the CMO whose free-trial funnel leaks. Free signup, instrumented activation, scored by behaviour. The 5% who hit aha get a human; the rest get the right unblock.
✍️Free Signuptrigger
👣Activationtrack
Aha Scorescore
🧱Unblocksupport
💳Paid Upgradeconvert
ROI signal · PQL → paid CVR
movesPQL CVR ↑
Deploy loop

2 · ICP → Meeting Loop

closes weekly
For the CRO whose SDR pod is hitting reply but not pipe. Tight ICP → trigger event → personalised outbound → booked demo. Reply rate feeds back into who's worth chasing next week.
🎯ICPdefine
📡Triggerslisten
✍️Personalizedraft
✉️Multi-touchreach
📅Demo Bookedconvert
ROI signal · SQL / rep, $ per meeting
movesSQLs ↑ · CAC ↓
Deploy loop

3 · Usage → Expansion Loop

closes monthly
For the CRO with flat NRR. Seat-growth, feature adoption, role-changes — all trigger the right expansion play. CSM gets briefed, AE sees the upsell window before the customer does.
📈Usagewatch
🔬Adoptiondetect
💼Role Changeenrich
🎯Play Pickermatch
⬆️Upsellwin
ROI signal · NRR, expansion ARR
movesNRR ↑
Deploy loop

4 · Renewal Risk Loop

closes 90d pre
For the CRO defending GRR on the next board call. 90 days out, every account gets re-scored: usage decay, exec turnover, support tone. Red goes human; amber gets a save play; green auto-renews.
📆Watchlistcohort
📉Usage Decaymeasure
☠️Risk Scorescore
📞CSM Callhuman
🔁Renewedclose
ROI signal · gross renewal rate
movesGRR ↑
Deploy loop
↓ for DTC, marketplace & retail CMOs

Ecommerce

Five production deployments — DTC brands between $8M and $60M GMV. Cart recovery that respects margin, LTV built on usage not calendar guesses, ads that know your inventory. Wired into Shopify, Klaviyo, Meta and Google Ads.

+18%cart recovery rate$24M GMV supplements brand · 60 days · baseline 9%
2.4×90-day LTV$60M GMV apparel DTC · 2 cohorts vs. control
Mini case · anonymized

The supplements brand discounting its best customers

  • Situation$24M GMV, blanket 15% abandon-cart discount going to buyers who'd have paid full price. Margin leaking on both ends.
  • DeployedCart → Recovery loop with tiered nudges (week 2), First Order → LTV loop on replenishment timing (week 5). Shopify + Klaviyo, no re-platform.
  • MovedRecovery rate 9% → 10.6% while cutting discount spend 41%. Net recovered margin up 18% in 60 days.
"We'd been paying customers to do what half of them were going to do anyway. The loop knows the difference."
— HEAD OF GROWTH, DTC SUPPLEMENTS ($24M GMV)
Command Center · Ecommerce signals● live
cart$184 cart abandoned — returning buyer, high intent score→ reminder only
cart$67 cart abandoned — first visit, price-sensitive segment→ free-ship nudge
replenish2,140 customers entering 30-day reorder window this week→ timed sequence
inventorySKU BST-04 6 days of stock left — still on 22% of ad spend→ bids throttled
recovered$12,840 recovered this week — $310 discount spent✓ loop retrained
this week · 8,412 carts watched · 1,102 nudged · margin-first tiering on

Wired into your stack — not replacing it

ShopifyKlaviyoMeta AdsGoogle AdsGorgiasYotpoTriple Whale

Who has to say yes — and what they'll ask

  • CMO / founderowns ROAS & LTV — gets margin-aware recovery, not discount spray
  • Ecom managerowns Klaviyo — loops draft into existing flows, nothing forked
  • Financegets recovered-$-minus-discount as the only success metric
Weeks 1–2
Cart loop live

Shopify + Klaviyo wired, intent scoring on, tiered nudges shipping. Blanket discounts off by default.

Weeks 3–6
LTV loop + holdout

Replenishment timing live with a 10% holdout cohort so lift is provable against control.

Day 90
The number you defend

Recovered margin, repeat-rate delta, discount spend saved — one readout, finance-signed.

The four loops we deploy first

Inventory → Ads and Reviews → PDP follow once these have paid for the engagement

1 · Cart → Recovery

closes hourly
For the DTC CMO bleeding sessions to abandons. Anonymous abandons get identified, scored on intent, served the right tier — reminder, free ship, or last-resort discount. Margin feeds the next nudge.
🛍️Add to Carttrigger
🚪Abandonobserve
🎯Nudge Tieroffer
✉️Email + SMSsend
💳Recoveredclose
ROI signal · recovered $ minus discount
movesrecovered $ ↑
Deploy loop

2 · First Order → LTV

closes 90d
For the CMO whose CAC payback is creeping up. First buy starts the clock. Replenishment, cross-sells, loyalty unlocks fire on usage — not on calendar guesses. Second-order rate trains the model.
📦First Ordersignup
👋Welcomeonboard
⏱️Replenishpredict
🔀Cross-sellrecommend
Loyaltyretain
ROI signal · 90-day LTV, repeat rate
movesLTV ↑
Deploy loop

3 · Shopper → Personalization

closes per session
For the CMO whose site shows every shopper the same store. Browse behaviour, past orders and segment tells shape what each shopper sees — hero, ranking, bundles, email — assembled per session, tested against holdouts.
👁️Browse Signalobserve
🧩Shopper Profileresolve
🎨Page Assemblepersonalize
🧪Holdout Testmeasure
💳Conversionclose
ROI signal · CVR & AOV vs. holdout
movesCVR ↑ · AOV ↑
Deploy loop

4 · Propensity → Premium

closes weekly
For the CMO discounting shoppers who'd pay full price. Analytical models score every customer on willingness to pay and likelihood to buy. High-propensity buyers get premium bundles and early access — never a coupon. Discounts go only where they change the outcome.
📊Order Historyingest
🧠Propensity Scoremodel
🎯Tier Splitsegment
💎Premium Offerupsell
💰Margin Wonclose
ROI signal · margin / customer, discount $ saved
movesAOV ↑ · discount $ ↓
Deploy loop
Also in the ecommerce catalog: Inventory → Ads (bids that know your stock levels) and Reviews → PDP (review-mined product-page rewrites, A/B shipped). We deploy them once the first loops have paid for the engagement.
↓ for brokerage, team & new-dev marketing leads

Real Estate

Three production deployments — two brokerages (120 and 400 agents) and one new-development marketer. Listing-view to booked tour, seller lead to signed listing. Wired into MLS feeds, Follow Up Boss, kvCORE and DocuSign.

+27%tours / lead400-agent metro brokerage · 90 days · vs. round-robin
+19%listings won120-agent brokerage · 2 qtrs · CMA-to-signed
Mini case · anonymized

The 400-agent brokerage whose portal leads went to voicemail

  • Situation3,200 portal leads/mo, median first-touch 26 hours. Round-robin assignment ignored agent specialty and close rate.
  • DeployedListing View → Tour loop with agent-match routing (week 2), Seller Lead → Listing loop with auto-assembled CMA pack (week 6).
  • MovedFirst-touch under 5 minutes, tours per lead +27% in 90 days. Listing-side win rate +19% over two quarters.
"Our agents stopped fighting over leads and started fighting over who gets the loop's briefs first."
— DIRECTOR OF GROWTH, METRO BROKERAGE (400 AGENTS)
Command Center · Real Estate signals● live
portalLead #4812 viewed 14 listings, saved search "3bd Oak Park <$650k"→ scored 88
matchRouted to M. Torres — 71% close rate in Oak Park segment→ 4 min to call
sellerCMA request — 12 Elmwood Dr · valuation + audit pack assembling→ pitch ready
watchPast client (2022) — new listing activity on their street→ touch queued
bookedTour confirmed — Sat 11:00, brief sent to agent✓ loop retrained
this week · 780 leads scored · 214 routed · median first-touch 4m 40s

Wired into your stack — not replacing it

MLS / RESO feedFollow Up BosskvCOREBoomTownDocuSignZillow / portal leads

Who has to say yes — and what they'll ask

  • Broker / ownerowns GCI — gets tours-per-lead and listings-won, not vanity opens
  • Team leadsown agent buy-in — routing logic is visible and appealable
  • Compliancegets consent-gated contact + full contact-history log per lead
Weeks 1–2
Routing loop live

Portal + MLS wired, intent scoring on, agent-match routing replacing round-robin. First-touch SLA visible day one.

Weeks 3–6
Seller loop + baselines

CMA-pack assembly live for listing pitches. Lead cohorts split old-routing vs. loop so lift is measurable.

Day 90
The number you defend

Tours per lead, speed-to-lead, listings won — one readout per office, agent-level detail on request.

The two loops we deploy first

Open House → Offer and Past Client → Referral follow in quarter two

1 · Listing View → Tour

closes per lead
For the broker watching qualified leads ghost. Saved-search behaviour scores buyer intent. Hot leads get matched to the right agent and routed straight to a calendar.
👁️Listing Viewbrowse
💫Saved Searchsignal
📊Intent Scorescore
🤝Agent Matchroute
📅Tour Bookedbook
ROI signal · tours booked / lead
movestour rate ↑
Deploy loop

2 · Seller Lead → Listing Won

closes per pitch
For the team losing listings to the agent who showed up better-prepared. CMA-request to signed listing. Valuation, pre-listing audit, marketing plan all assemble themselves before the call.
📥CMA Requestcapture
💵Valuationprice
📊Auditresearch
🎤Pitchhuman
✍️Signedclose
ROI signal · listings won / pitch
moveslistings won ↑
Deploy loop
Also in the real-estate catalog: Open House → Offer (sign-in to personal recap with comps) and Past Client → Referral (anniversary + life-event touches). Quarter-two deployments, once routing has proven the lift.
Other industries

We've run loops in hospitality, enterprise F500 motions and professional services — but not enough deployments to publish anchored numbers yet. Here's the honest state of each:

🏨 Hospitality

One direct-booking loop live at a 3-property boutique group. Early data promising; too soon to publish. Happy to share the working numbers on a call — or start with a workshop to map your booking funnel.

🏛️ Enterprise F500

Buying-committee mapping and security-review loops piloted inside two of our B2B Tech deployments' enterprise segments. See how the loops read from the CRO and RevOps seats, or ask us about the security-review turnaround data.

🛠️ Professional Services

Inquiry → SOW loop drafted with a 40-person consultancy; deployment starts next quarter. If you're in services, you'd be an early partner — priced accordingly. Background reading in Resources.

Not listed at all? The loops are industry-agnostic; the calibration isn't. Book an audit and we'll tell you honestly whether we're the right fit — or who is. You can also find your seat on the Personas page or join a hands-on workshop.