Account Deep-Dive · 554-162-7821 · 3 of 8

PMax & Shopping: efficient,
fenced-in, and scalable.

Two active Performance Max campaigns, both feed-only (Shopping placements, no text/image/video assets, all automations opted out). On Triple Whale numbers, both are performing well above their targets — the question is how to scale them safely and what to build next.

Spend 30d $54,464 Merchant Center 5685678497 Active 2 PMax campaigns · 20 product IDs each
01Active Campaigns · Triple Whale View

Both campaigns beat their targets on real numbers.

CampaignSegmentBudget/dayTarget ROASSpend 14d (pace)Triple Whale revenueOrdersROASCPA
LD_GLP_PDP_US_PMAX_GENERIC_tROASNon-Brand$2,0002.25$19,129 · 68% of budget$84,2401,0204.40$18.75
LD_GLP_PDP_US_PMAX_BRAND_tROASBrand$5005.50$5,477 · 78% of budget$61,60580911.25$6.77

May 28 – Jun 10 · revenue/orders = Triple Whale last-click; spend & budgets = Google Ads.

Scaling answer: yes, there is room — and the throttle is the target, not the budget

Neither campaign spends its full budget (68% and 78%), so raising budgets alone won't add volume — the target ROAS settings are the brake. GENERIC's platform-visible ROAS (~2.0–2.4) sits at its 2.25 target, but Triple Whale measures it at 4.40 — the campaign has roughly 2× more real headroom than the bidding engine believes. The safe scaling path: fix conversion capture first (see Search page, same fix benefits both accounts), then walk GENERIC's target down in 0.15 steps (2.25 → 2.10 → 1.95...) one week at a time, watching Triple Whale ROAS ≥ 3.0 as the floor. Same playbook for BRAND with a 4.5 Triple Whale floor.

02Brand / Generic Separation

The split works today — but it hangs on a single negative keyword.

Gap

Brand exclusion feature is not configured

The GENERIC campaign keeps brand traffic out using a shared negative-keyword list containing exactly one entry: "ledisa" (phrase match). Google's purpose-built brand exclusions for PMax (brand lists) are not set. The negative works — generic search-term categories show no "ledisa" variants — but it has no coverage for misspellings: "leidsa" got 671 clicks in 30 days and isn't blocked anywhere.

Structure

Both campaigns sell the same 20 products

Identical product IDs in both listing groups — separation is purely query-based. The BRAND campaign (target 5.5) also captured ≥1,189 visible clicks on generic categories ("glp 1 patches", "weight loss patch") in 30 days — generic traffic winning at brand-level economics. Fine while it converts at 11.25, but quantify it before any target change.

Fix

Recommended configuration

(1) Add misspellings ("leidsa", "ladisa", "ledissa") to the shared negative list. (2) Configure the official brand exclusion (brand list: Ledisa) on GENERIC as the structural safety net. (3) Re-check the BRAND campaign's generic share monthly via search-term insights.

03Product Performance

Ten listings, one patch — concentrated but clean.

The feed is 20 keyword-permuted listings of the same GLP-1 patch (titles rotate "wellness and balance", "focus and consistency", etc.). Top 10 take 94% of product spend. Zero waste: no product spent more than $50 without converting. Product-level revenue is only available platform-side (Triple Whale tracks per campaign/ad group, not per feed item) — so the table below is Google-reported and should be read for relative comparison, not absolute return.

ItemListing titleSpend 90dConv.Relative ROAS*
glp1_patch_mv15"Fastest Way to Lose Weight – GLP-1 Weight Loss Patch"$36,0881,4132.34
glp1_patch_mv12"GLP-1 Patches – Premium Daily Weight Loss Support"$27,8231,6313.45
glp1_patch_mv11"Weight Loss Patch for Women"$7,6146705.32
*Google-reported, for ranking products against each other. The clear pattern: mv15 ("Fastest Way to Lose Weight") takes the most budget with the weakest return AND the most aggressive title — the exact title style a policy sweep would hit. mv12/mv11 earn 1.5–2.3× more per dollar with softer titles.
Risk

One Merchant Center, claim-heavy titles

The entire $54K/month rides one Merchant Center account whose titles lead with "Fastest Way to Lose Weight". One feed disapproval sweep = both campaigns dark. Recommendation: prepare a compliant-title supplemental feed as insurance, and shift listing-group weight toward the softer-titled winners (mv12/mv11 style).

Diversification

100% of spend is GLP-1

Berberine, NAD+, Sleep and Energy — heroes on ledisa.com — have essentially no Shopping presence. A Berberine listing test rides the same renaming wave the category leaders already took (see Competitors) and opens a cheaper keyword universe (see Search page, advertorial research).

04Feed Architecture · Split Brand from Non-Brand

Build two feeds, not one — and put the brand name first.

Today a single product feed powers both the BRAND and GENERIC campaigns, with separation enforced only by that one negative keyword. A cleaner, more durable structure is two purpose-built feeds, each optimized for the job its campaign does.

Brand feed

Titles that lead with "Ledisa"

The feed behind the BRAND campaign should put the brand name at the very front of every title"Ledisa GLP-1 Patch — Daily Weight-Loss Support" rather than "Fastest Way to Lose Weight – GLP-1 Patch". When someone searches "ledisa patches", Google matches and bolds the leading brand token, lifting relevance, click-through and Ad Rank on exactly the queries this campaign exists to win — and it reinforces brand recognition for everyone who scrolls past.

Non-Brand feed

Titles that lead with the category

The feed behind the GENERIC campaign should lead with the category and benefit, brand later — "GLP-1 Weight-Loss Patch for Women — Berberine Formula | Ledisa". Non-brand shoppers search by problem and ingredient, not by brand, so the matching tokens belong up front. This is also where the compliant-title rewrite lives (softening the "Fastest Way to Lose Weight" style that invites policy review).

Why split

Two feeds = two clean optimizations

One feed forces a single title to serve two opposite intents and compromises both. Two feeds let brand titles maximize brand relevance and non-brand titles maximize category relevance — and give a structural brand/non-brand boundary at the feed level, on top of the negative-keyword and brand-exclusion boundaries, so brand and generic traffic stop competing in the same auctions.

Title formula (applied per feed)

Brand feed: Brand → Product → Key Benefit → Format/Count — e.g. "Ledisa GLP-1 Patch · Appetite & Weight Support · 30 Patches". Non-brand feed: Category → Audience/Benefit → Ingredient → Brand — e.g. "GLP-1 Weight-Loss Patch · for Women · Berberine · by Ledisa". Both stay within structure/function language; no drug or "fastest/guaranteed" claims.

05Proposals · What to Build Next

Two structured tests.

Test A — Asset-based Performance Max (images + text + video)

Every Performance Max campaign this account has ever run has been feed-only with zero creative assets — so an asset-based PMax has never been tried. There is no past failure to worry about and no past success to assume; it is a genuine, clean test.

Design
  • 1 new campaign, separate from the feed-only pair (never mix — it would contaminate their clean Shopping behavior). Budget $150–300/day to start.
  • 3 asset groups by angle, reusing the advertorial creative system: ① Berberine science ("patch vs pill"), ② Over-40 hormonal routine, ③ Brand lifestyle/social proof.
  • Audience signals per group: purchaser customer list + in-market weight loss & supplements + custom segment of GLP-1-alternative searchers.
  • Assets: compliant headlines/descriptions (no drug claims), lifestyle imagery, and the 15–30s videos produced for the Demand Gen test (next page) — shared production budget.
  • Guardrails: brand exclusion ON, URL expansion OFF (consistent with current setup), target ROAS starting at GENERIC's effective platform level (~2.0).
Judgment

4 weeks minimum. Success = Triple Whale ROAS ≥ 3.0 at ≥$150/day spend. Kill rule = Triple Whale ROAS < 2.0 after 4 full weeks. All evaluation on Triple Whale, not platform numbers.

Test B — Brand Shopping campaign with automated non-brand exclusion

Brand demand currently flows through PMax BRAND at $6.77 CPA. A standard Shopping campaign dedicated to brand queries gives direct control over bids and query shaping that PMax can't offer — useful both as a scaling lever and as insurance.

Design
  • Standard Shopping, brand product set, high campaign priority relative to PMax so it wins brand auctions.
  • Automated script excludes non-brand search terms daily (existing script, already built — it scans the search-term report and negates anything without a brand token), keeping the campaign purely brand.
  • Manual CPC or Target ROAS at the brand benchmark; budget $100–150/day to start.
Judgment

Compare against PMax BRAND on Triple Whale CPA/ROAS after 3–4 weeks. If the Shopping campaign matches ≤$8 CPA with better query control, shift brand budget toward it; if not, keep PMax BRAND and retire the test.

06PMax & Shopping · Action Plan

This page's actions.

1Close the brand leak: misspelling negatives + official brand exclusion on GENERICProtects the 4.40/11.25 split0–30d
MeasureZero "ledisa"-variant categories in GENERIC search-term insights; "leidsa" clicks stop leaking.
2Split the feed: build a Brand feed (brand-first titles) and a Non-Brand feed (category-first, compliant titles)Relevance + policy insurance0–30d
MeasureBrand-feed CTR/Ad Rank up on brand queries; non-brand feed approved with softened titles.
3Scale GENERIC: step target ROAS down 2.25 → ~1.95 after tracking fix, watching Triple Whale ≥3.0+30–50% volume at strong return30–60d
MeasureWeekly: spend pace vs budget; Triple Whale ROAS floor 3.0.
4Rebalance listing groups toward soft-titled winners (mv12/mv11)+$8–10K/90d value30–60d
MeasureSpend share shifts toward higher-ROAS listings.
5Launch Test A (asset-based PMax) and Test B (brand Shopping + exclusion script)New scaling surfaces30–90d
MeasureTest A: Triple Whale ROAS ≥3.0 · Test B: ≤$8 brand CPA with clean queries.
6Berberine SKU Shopping test (new listings, soft titles)Category diversification60–90d
MeasureBerberine items reach ≥10% of Shopping spend at Triple Whale ROAS ≥2.5.
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