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BID//RUNNER
Your Business / PPC Ops Desk
[F1] Desk [F2] Audit [F3] Services [F4] Stats [F5] Pricing [F6] Team [F7] Demo
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STATS
WIN_RATE▲ 87% retention 12mo RECOV_AGG$8.4M wasted spend recovered YTD BOOK_GROWTH▲ 6 new accts Q2 CONV_LIFT▲ +124% blended CPA_DROP▼ −36% blended WIN_RATE▲ 87% retention 12mo RECOV_AGG$8.4M wasted spend recovered YTD BOOK_GROWTH▲ 6 new accts Q2 CONV_LIFT▲ +124% blended CPA_DROP▼ −36% blended
// pane.01 / page.headcase.book / 4 detailed · 138 redacted
cmd: ls /cases --sort=$desc

Receipts. Not stories.

Aggregate book-level statistics first, then four detailed case studies. Numbers are post-audit, attributed to last-touch with a 14-day VT window. Read every footnote.

Active accounts
142
across 11 verticals
Spend under mgmt
$48.2M
trailing 12 months
Wasted spend recov.
$8.4M
YTD across the book
Median ROAS lift
+38%
first 90 days
12mo retention
87%
of clients renew y/y
Median CPA drop
−36%
blended, audit→90d
Negatives shipped
412k
added to client books
Audits completed
238
free, since 2019
// pane.02 / book.compositionby spend share

Book composition_

142 accounts split across 11 verticals. We deliberately limit any single vertical to under 30% of total spend so we don't accidentally become an "ecom only" or "B2B only" desk.

E-com / DTC · 28%
SaaS B2B · 21%
Marketplaces · 15%
Legal / Pro svc · 14%
Other 7 verticals · 22%
E-com / DTC SaaS B2B Marketplaces Legal / Pro svc Other
e-com

Case 01

DTC home goods · $14M/yr
WindowChannels 2024 Q3 → Q1 25SHOP, PMAX, BRD EngagementSpend mgd 9 months$10.2M

Cut PMax brand bleed 74%, doubled non-brand contribution

Account had stacked four PMax campaigns across catalog tiers. Brand search was being absorbed into PMax at ~36% of total conversions, masking actual incremental performance. We rebuilt asset groups thematic-by-margin, added a brand exclusion list at the campaign level, and forked a feed-only PMax shadow campaign as control.

Within 8 weeks brand bleed dropped to 9%, non-brand contribution to revenue grew from 31% to 50%, and blended ROAS held at 6.4x while incremental conversions grew 41% q/q.

Brand bleed
−74%
NB contrib
+19pp
Incremental conv
+41%
Blended ROAS
6.4x
"They were the first agency that talked to me about incrementality without it being a sales pitch."

D. Reyes · VP Growth (DTC home goods)

B2B

Case 02

Vertical SaaS · $3.2M/yr
WindowChannels 2024 Q1 → Q4SRCH, YT, RMK EngagementSpend mgd 12 months$3.2M

Pipeline up 2.1x, paid CAC down 38% on flat spend

Mid-market SaaS. Lead-gen account with poor conversion-action hygiene — 7 active conv actions, 2 of which were duplicates, none with values. We collapsed to 3 weighted conv actions, wired offline-conversion-import from HubSpot, and re-trained Smart Bidding on closed-won opportunities at 14d window.

Result was a quieter account that bid better. Pipeline contribution from paid grew 2.1x while spend stayed flat, and paid CAC fell from $1,840 to $1,140 (−38%).

Pipeline
+2.1x
Paid CAC
−38%
SQL→won
+14pp
Spend
flat
"OCI from HubSpot to Ads was a 9-line change in their script library. We had been waiting 18 months for our previous agency."

K. Mahler · CFO (Vertical SaaS)

marketplace

Case 03

2-sided marketplace · $6M/yr
WindowChannels 2025 Q1SRCH, DSA, RMK EngagementSpend mgd 6 months$3.0M

Recovered $94k/quarter in wasted query spend

Marketplace had no negative-keyword strategy. Search-term reports surfaced 11,000+ queries with zero conversions and over $94k wasted spend in 90 days. We deployed our nightly negkw script and added 8,200 hand-curated terms, plus a competitor-bidding ban list.

Quarterly waste fell to under $4k. Saved cash was redirected into supply-side acquisition (driver onboarding) where ROAS was 11.4x.

Waste recovered
$94k
Negatives added
8.2k
Supply ROAS
11.4x
Audit→fix
14d
"They handed us a CSV with 11k negative keywords. Most agencies want to talk strategy. These guys ship spreadsheets."

P. Okafor · Founder (Marketplace)

legal

Case 04

Mass-tort plaintiff firm · $4.4M/yr
WindowChannels 2024 Q4 → ongoingSRCH, LEAD-FORM EngagementSpend mgd 6 months$2.2M

Cost-per-signed-case down −42%, intake quality up

Plaintiff firm had been bidding on $400 CPCs across 14 highly competitive case-type keywords. Cost per signed case had crept from $1,800 to $3,100 in 6 months. We rebuilt around qualified-lead conversions instead of form fills, re-tiered geo by historical signing rate, and added 9 dayparting schedules tied to call-center hours.

Cost per signed case landed at $1,790 — a 42% improvement — while signed cases per month grew 18%.

Cost / signed
−42%
Signed / mo
+18%
Form spam
−68%
Daypart schedules
9
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