June 24 to August 31, 2026. Cycle-by-cycle results with per-campaign stats and what each cycle's replies showed about hooks, body copy, and CTAs. Campaign numbers pulled from the sending platform on August 31; positive counts are hand-audited replies, not the platform's raw flags.
Five cycles of testing reduce to one split. Every angle that performed hands the prospect something real: a named neighbor install, a guest's review, an event with dates, a rule change that adds revenue months. Every angle that failed applies pressure instead: fear, scarcity, intrigue. The fact behind the pressure can even be true (the propane ban is real) and the email still fails, because the frame demands something from the reader instead of giving them something.
Three angles went head to head on Bay Area independents: regulatory pressure (the SF propane phase-out), the parklet investment ("you put real money into this, make it pay"), and install lookalikes ("we just put Focal in at {neighbor}, a few blocks from you"). The lookalike angle won on every measure and became the program's workhorse. The propane ban failed twice, the second time with a pattern (zero replies and zero bounces from 162 sends) that looks like a deliverability filter, not a copy verdict.
| Campaign | Angle | Contacted | Reply | Positives | Bounce | Read |
|---|---|---|---|---|---|---|
| Install Lookalikes | Neighbor proof | 345 | 8.4% | 2 | 3.5% | Workhorse |
| Install Lookalikes v2 | Neighbor proof, rerun | 331 | 4.8% | 5 | 6.3% | Most positives |
| Permitting | Parklet payback | 39 | 7.7% | 1 | 2.6% | Small but real |
| Propane Ban | Regulatory fear | 165 | 2.4% | 0 | 0.0% | Failed |
| Propane Ban v2 | Regulatory fear, rerun | 162 | 0.0% | 0 | 0.0% | 0 replies, 0 bounces |
| Permitting v2 | Parklet payback, rerun | 14 | 0.0% | 0 | 0.0% | Too small to read |
Cycle 2 split the list into segments (Napa, local chains, wineries, review-referenced) and added a second motion: outreach to builders and architects who design outdoor spaces. The two partnership campaigns delivered 9.9% replies and roughly double the interested rate of restaurant-direct, and the replies were structurally different: design firms answered as firms, not individuals. Two partners at William Duff Architects replied separately about a lunch-and-learn for their hospitality studio.
| Campaign | Angle | Contacted | Reply | Positives | Bounce | Read |
|---|---|---|---|---|---|---|
| Partnership: Architects | Design-side channel | 180 | 10.0% | 4 | 2.2% | Best channel |
| Partnership: Builders | Bundle with the build | 113 | 9.7% | 2 | 15.0% | Great copy, dirty list |
| Review Referenced 3.1 | Customers' good reviews | 217 | 6.9% | 3 | 7.4% | The fix worked |
| Napa (Bay top performer) | Lookalike, Napa | 45 | 6.7% | 0 | 0.0% | Flat |
| Bay Area Local Chains | One patio first | 20 | 10.0% | 0 | 0.0% | Replies, no positives |
| Review Referenced v1 | Their own bad review | 9 | 0.0% | 0 | 0.0% | Killed early |
| Napa Wineries | Terrace exclusivity | 16 | 0.0% | 0 | 12.5% | Dead |
Cycle 3 ran the voice experiments agreed on the July 20 call. The stripped one-line "gotcha" test had a pre-registered kill condition (fold if replies don't beat Cycle 2's bar) and hit it: folded. The case-study voice held. The clear winner was anchoring outreach to the CA Restaurant Association show in Anaheim: a real reason to be in the prospect's city, which produced the program's two hottest leads.
| Campaign | Angle | Contacted | Reply | Positives | Bounce | Read |
|---|---|---|---|---|---|---|
| CRA Show | Event + SoCal first run | 373 | 4.6% | 4 | 5.1% | Hottest leads |
| Case-Study Fresh | Site voice, guest reviews | 131 | 6.1% | 2 | 6.1% | Voice validated |
| Lookalike Evergreen v3 | Neighbor proof, refresh | 62 | 8.1% | 1 | 21.0% | Copy fine, list dirty |
| Gotcha Re-Touch | One-line bare question | 153 | 2.6% | 1 | 0.0% | Folded, per plan |
| Fall Allocation | Install-slot scarcity | 118 | 2.5% | 0 | 16.1% | Retired |
Cycle 4 took the motion to multi-unit groups, with copy split by the role that owns the decision: operations, new-build construction, facilities. Reply rate came down to 4.1%, normal for exec inboxes, but every positive was a multi-location group: Edley's BBQ, Ballyhoo Hospitality, Hofman Group, Crave America, and Bluewater Grill. Rohan worked four of the five in-thread the same week, two paired with CRA meetings. The cost of going upmarket showed in the data quality: enterprise contact lists bounced at 6 to 23% against 0 to 7% on the core Bay Area lists.
| Campaign | Angle | Contacted | Reply | Positives | Bounce | Read |
|---|---|---|---|---|---|---|
| Campaign 4 (Ops) | Dwell-time question | 105 | 6.7% | 3 | 5.7% | Best enterprise run |
| Campaign 2 (Regional) | Reviews consistency | 132 | 2.3% | 2 | 23.5% | Positives despite the list |
| Campaign 5 (SoCal v2) | Reviews + expansion | 217 | 5.5% | 0 | 2.8% | Replies, no positives |
| Campaign 3 (National) | Dwell-time question | 176 | 2.8% | 0 | 6.8% | Flat |
| Campaign 1 (National) | New-build spec | 34 | 0.0% | 0 | 11.8% | Too small to read |
NYC leads with the regulation-as-opportunity angle: permitted outdoor structures can now stay up year-round (sidewalk enclosures October through March), so the parklet investment can finally earn in the cold months. That is the Cycle 1 propane-ban lesson inverted: same regulatory fact pattern, framed as upside instead of threat. Chicago runs the proven "first look" expansion play as Michael's territory. At the report cutoff most leads were 1 to 2 sequence steps in; replies were arriving at 5.0% and the parklet campaign had produced 2 positives: Water & Wheat (asked for the video) and Le Gamin Cafe (asked what it is).
| Campaign | Angle | Contacted | Reply | Positives | Bounce | Read |
|---|---|---|---|---|---|---|
| NYC Parklet | Year-round rule | 184 | 4.9% | 2 | 1.6% | Partial |
| Chicago Groups & Flagships | First-look expansion | 114 | 6.1% | 0 | 8.8% | Partial |
| NYC Sidewalk | Oct–Mar enclosures | 60 | 3.3% | 0 | 1.7% | Partial |
| NYC Flagship | First-look expansion | 31 | 6.5% | 0 | 0.0% | Partial |
| NYC Restaurant Groups | Enterprise voice | 13 | 0.0% | 0 | 7.7% | Just started |
Every inbound reply in the workspace, timestamped and converted to the prospect's local timezone by campaign geography (NYC campaigns to Eastern, Chicago to Central, the rest to Pacific; the four mixed-geography national campaigns are excluded from the hour analysis). Two different questions get two different answers: when replies arrive, and when the good replies arrive.
| Day | Replies | Positives | Pos/Reply | |
|---|---|---|---|---|
| Monday | 103 | 4 | 3.9% | |
| Tuesday | 54 | 12 | 22.2% | |
| Wednesday | 74 | 6 | 8.1% | |
| Thursday | 19 | 2 | 10.5% | |
| Friday | 12 | 2 | 16.7% | |
| Saturday | 3 | 1 | — | |
| Sunday | 9 | 0 | — |
| Local time | Replies | Positives | |
|---|---|---|---|
| Early (5–9a) | 45 | 1 | |
| Late morning (9a–12p) | 52 | 12 | |
| Early afternoon (12–3p) | 89 | 5 | |
| Late afternoon (3–6p) | 46 | 5 | |
| Evening (6–10p) | 11 | 2 | |
| Overnight (10p–5a) | 22 | 0 |
Each form is reproducible in any market: swap the named proof for the local equivalent, keep the structure. Standing rules for all five: 3-step sequences, sends landing Tuesday or Wednesday 9am to noon local, video first then visit, no phone lines in first touches.
Measured: 6.7 to 8.4% reply, 7 positives from 676, and more direct meeting requests than any other form.
Measured: 9.9% reply, 2.05% positive across 293. Double restaurant-direct on both measures.
Measured: 6.7% reply, 3 positives from 105 on this exact copy. The one-location ask is what makes a group's yes cheap.
Measured: 2 positives inside the first week in NYC, on the cleanest lists of the program (under 2% bounce).
Measured: 4 positives from the CRA Show window, including the two hottest leads of the program.
Pick a motion and a monthly volume. Reply and contact-to-positive rates are measured from this program's actual sends; the positive-to-meeting rate is an assumption you can adjust. No revenue is projected: deal economics have not been measured cleanly yet, and the projection stops where the data stops.
Contact→positive and reply rates are measured from Jun 24 – Aug 31 sends in this workspace. The positive→meeting rate is an assumption until the current positives resolve. National list quality will differ by market; NYC and Chicago are the live calibration. Once meetings and closes are tracked cleanly, this extends to deals and revenue with measured inputs.