← Back to app

Run 2026-03-26-025035-fdec67eaMode llmStatus unknownQA completed37,481 est. tokens$0.2211 est. cost

Saved: 2026-03-26T02:50:35.851942+00:00
Model: gpt-5.4
Estimated input/output tokens: 27,293 / 10,188

No status detail.

Processed files

Agent 1 — Intake handoff

CLIENT ASK
Give specific Google Ads optimizations based on the 3 attached reports, with the explicit goal of lowest CPA for purchase conversions for project “SipJeng Google Ads.” Preferred style: operator.

PROVIDED EVIDENCE
1) Landing page report CSV
- Date range: September 25, 2025 – March 23, 2026
- Fields: Landing page, Selected by, Clicks, Impr., CTR, Avg. CPC, Cost, Conversions
- Includes totals for Landing pages, Account, Performance Max, Search

2) Channel performance CSV
- Title says: Search terms insight report
- Date range: September 25, 2025 – March 23, 2026
- Fields: Channels, Status, Campaigns, Impr., Clicks, Interactions, Conversions, Conv. value, Cost, Results, Results value
- Breaks out Google Search, Search partners, GDN, YouTube, Gmail, Discover, Maps by campaign
- Includes channel totals

3) Search terms report CSV
- Date range: September 25, 2025 – March 23, 2026
- Fields: Search term, Match type, Added/Excluded, Campaign, Ad group, Avg. CPM, Clicks, Impr., CTR, Avg. CPC, Cost, Campaign type, Conv. rate, Conversions, Cost/conv.
- Data is truncated in the provided text; not complete

EXTRACTED FACTS
Account / channel level
- Landing page report totals:
  - Total Landing pages: 3,120 clicks, 147,440 impressions, 2.12% CTR, $2.88 avg CPC, $8,984.10 cost, 351.49 conversions
  - Total Account: 3,343 clicks, 147,440 impressions, 2.27% CTR, $2.97 avg CPC, $9,928.11 cost, 351.49 conversions
  - Total Performance Max: 499 clicks, 30,413 impressions, 1.64% CTR, $0.79 avg CPC, $391.91 cost, 1.00 conversions
  - Total Search: 2,844 clicks, 117,027 impressions, 2.43% CTR, $3.35 avg CPC, $9,536.20 cost, 350.49 conversions
- Implied account CPA from landing page totals: ~$28.25 ($9,928.11 / 351.49)
- Implied Search CPA: ~$27.21 ($9,536.20 / 350.49)
- Implied PMax CPA: $391.91

Channel performance totals
- Total campaigns: 556,348 impressions, 3,973 clicks, 69,895 interactions, 126.33 conversions, $10,027.42 conv. value, $8,347.53 cost
- Google Search total: 214,867 impressions, 1,877 clicks, 126.33 conversions, $10,027.42 conv. value, $7,309.65 cost
- Search partners total: 222 impressions, 5 clicks, 0 conversions, $3.31 cost
- GDN total: 183,361 impressions, 1,702 clicks, 0 conversions, $492.40 cost
- YouTube total: 157,826 impressions, 389 clicks, 0 conversions, $540.58 cost
- Gmail total: 72 impressions, 0 clicks, 0 conversions, $1.58 cost
- Discover / Maps totals: 0
- Implied Google Search CPA from channel report: ~$57.86 ($7,309.65 / 126.33)

Campaign-level observations from channel performance
- PAUSED “Cube_Catch All_OCT” on Google Search:
  - 135,613 impressions, 1,418 clicks, 94.88 conversions, conv. value $9,153.13, cost $5,334.65
  - Implied CPA: ~$56.23
- PAUSED “Cube_30Dec_CatchAll_Pmax” on Google Search:
  - 72,373 impressions, 300 clicks, 28.44 conversions, conv. value $715.66, cost $1,251.03
  - Results string separately lists Purchase: 7.01 and other micro conversions
- ACTIVE “Cube | New Pmax” on Google Search:
  - 1,618 impressions, 63 clicks, 1.00 conversions, conv. value $23.09, cost $198.46
  - Implied CPA: $198.46
- ACTIVE “Cube | New Pmax” on GDN:
  - 24,629 impressions, 429 clicks, 0 conversions, cost $154.22
- ACTIVE “Cube | New Pmax” on YouTube:
  - 4,107 impressions, 5 clicks, 0 conversions, cost $36.98
- PAUSED “Cube_Pmax” on Google Search:
  - 2,661 impressions, 81 clicks, 1.00 conversions, conv. value $26.00, cost $481.72
  - Implied CPA: $481.72
- PAUSED “Cube | PMax - Website Traffic” on Google Search:
  - 1,554 impressions, 11 clicks, 1.01 conversions, conv. value $109.55, cost $30.16
  - Results include Add to cart, Begin checkout, Page View, Purchase: 1.01

Landing pages with strongest purchase-conversion efficiency
- https://sipjeng.com/collections/best-sellers (ADVERTISER)
  - 791 clicks, 55,088 impr., 1.44% CTR, $1.20 CPC, $951.15 cost, 207.65 conversions
  - Implied CPA: ~$4.58
- https://try.sipjeng.com/ (ADVERTISER)
  - 728 clicks, 21,337 impr., 3.41% CTR, $3.85 CPC, $2,802.50 cost, 44.00 conversions
  - Implied CPA: ~$63.69
- https://shop.sipjeng.com/ (ADVERTISER)
  - 438 clicks, 17,308 impr., 2.53% CTR, $3.30 CPC, $1,444.84 cost, 38.50 conversions
  - Implied CPA: ~$37.53
- https://shop.sipjeng.com/shop/ (ADVERTISER)
  - 872 clicks, 68,994 impr., 1.26% CTR, $3.71 CPC, $3,231.88 cost, 29.33 conversions
  - Implied CPA: ~$110.16
- https://sipjeng.com/blogs/blog/alcohol-alternative-drinks-2025 (AUTOMATIC)
  - 225 clicks, 2,104 impr., 10.69% CTR, $1.88 CPC, $423.97 cost, 10.00 conversions
  - Implied CPA: ~$42.40
- https://sipjeng.com/products/thc-infused-jeng-and-tonic (AUTOMATIC)
  - 23 clicks, 450 impr., 5.11% CTR, $5.05 CPC, $116.05 cost, 6.00 conversions
  - Implied CPA: ~$19.34
- https://sipjeng.com/collections/non-alcoholic-thc-drinks (AUTOMATIC)
  - 18 clicks, 507 impr., 3.55% CTR, $3.26 CPC, $58.71 cost, 4.00 conversions
  - Implied CPA: ~$14.68
- https://shop.sipjeng.com/product/collection-sampler-6-pack/ (ADVERTISER)
  - 20 clicks, 13,454 impr., 0.15% CTR, $4.98 CPC, $99.65 cost, 4.00 conversions
  - Implied CPA: ~$24.91
- https://sipjeng.com/pages/about (AUTOMATIC)
  - 6 clicks, 19 impr., 31.58% CTR, $5.53 CPC, $33.15 cost, 2.00 conversions
  - Implied CPA: ~$16.58
- https://sipjeng.com/ (AUTOMATIC)
  - 30 clicks, 194 impr., 15.46% CTR, $1.68 CPC, $50.45 cost, 2.00 conversions
  - Implied CPA: ~$25.23
- https://sipjeng.com/collections/hemp-infused-drinks (AUTOMATIC)
  - 12 clicks, 526 impr., 2.28% CTR, $5.17 CPC, $62.02 cost, 1.00 conversion
  - CPA: $62.02
- https://sipjeng.com/collections/best-sellers (AUTOMATIC)
  - 2 clicks, 79 impr., 2.53% CTR, $1.60 CPC, $3.20 cost, 1.00 conversion
  - CPA: $3.20
- https://shop.sipjeng.com/product/spicy-blood-orange/ (ADVERTISER)
  - 32 clicks, 11,834 impr., 0.27% CTR, $3.91 CPC, $124.98 cost, 1.00 conversion
  - CPA: $124.98

Landing pages spending with zero conversions
- https://sipjeng.com/products/thc-infused-paloma (AUTOMATIC): 8 clicks, $61.39, 0 conv
- https://sipjeng.com/collections/cbd-infused-drinks (AUTOMATIC): 20 clicks, $77.91, 0 conv
- https://sipjeng.com/products/thc-infused-rhubarb-cucumber-spritz (AUTOMATIC): 1 click, $14.21, 0 conv
- https://shop.sipjeng.com/shop/ (AUTOMATIC): 15 clicks, $28.33, 0 conv
- https://shop.sipjeng.com/about/ (ADVERTISER): 3 clicks, $24.38, 0 conv
- https://shop.sipjeng.com/contact/ (ADVERTISER): 5 clicks, $20.05, 0 conv
- https://shop.sipjeng.com/product/summer-starter-pack/ (ADVERTISER): 1 click, $16.61, 0 conv
- https://sipjeng.com/collections/functional-beverages (AUTOMATIC): 6 clicks, $35.39, 0 conv
- Many blog pages also spend with 0 conv, though mostly low spend

Search terms report facts visible
- Complete report not available; provided text is truncated
- Search campaigns visible:
  - Cube_Search_Brand
  - Cube_Search_W
  - Cube_Search_NonBrand_OCT_Relaunched_CPC
  - Cube | New Pmax
- Notable converting terms visible:
  - “sipjeng” in Cube_Search_W, Phrase match (close variant): 2 clicks, 2 impressions, 100% CTR, $0.17 CPC, $0.34 cost, 14.00 conversions, cost/conv $0.02
  - “mocktails” in Cube_Search_W, Broad match: 1 click, 36 impressions, $0.85 cost, 1.00 conversion, cost/conv $0.85
- Non-converting / likely irrelevant terms spending money:
  - “cbd drinks 50 mg”: 1 click, $10.35, 0 conv
  - “tost discount code”: 1 click, $7.43, 0 conv
  - “nootropic drinks to replace alcohol”: 4 clicks, $9.03, 0 conv
  - “relaxing drinks instead of alcohol”: 1 click, $3.75, 0 conv
  - “hemp infused seltzer”: 1 click, $3.46, 0 conv
- Many competitor/irrelevant informational terms visible with 0 clicks or 0 conv:
  - shimmerwood beverages, gaba spirits, melati drinks, cycling frog drinks, little saints negroni, seth rogen seltzer, where to buy de soi, drinkbrez llc, etc.
- Search term data includes match types like Broad, Phrase match, AI Max, Performance Max, Exact match close variant

OBSERVED METRICS
Most important measurable numbers for a lowest-CPA lens:
- Account total CPA: ~$28.25 from landing page total
- Search total CPA: ~$27.21 from landing page total; ~$57.86 in channel report depending on conversion definition
- PMax total CPA: $391.91 in landing page total
- Best landing page by scale and efficiency:
  - /collections/best-sellers advertiser-selected: 207.65 conversions on $951.15 spend, CPA ~$4.58
- Significant but weaker landing pages:
  - /shop/ advertiser: 29.33 conv on $3,231.88, CPA ~$110.16
  - try.sipjeng.com advertiser: 44 conv on $2,802.50, CPA ~$63.69
  - shop.sipjeng.com advertiser: 38.5 conv on $1,444.84, CPA ~$37.53
- Search-only campaign efficiency in channel report:
  - Cube_Catch All_OCT: CPA ~$56.23
  - Cube_30Dec_CatchAll_Pmax (search placement): CPA ~$43.99 if using 28.44 conversions, but results string shows only Purchase 7.01
  - Cube | New Pmax active search placement: CPA $198.46
- Zero-conv spend on GDN + YouTube in channel report:
  - GDN $492.40, 0 conversions
  - YouTube $540.58, 0 conversions
- Active PMax mixed placement wastage:
  - Cube | New Pmax active: Search 1 conv on $198.46, GDN 0 conv on $154.22, YouTube 0 conv on $36.98, Search partners 0 conv on $2.26

GAPS/UNCERTAINTY
- No screenshots were actually provided; only CSV text exports.
- User said “3 reports” and that is what was provided, but no campaign settings, budgets, bidding strategies, locations, devices, audiences, asset groups, ad copy, or product feed data.
- Search terms report is truncated, so full negative keyword analysis is not possible from the provided evidence.
- Major conversion-definition inconsistency:
  - Landing page report totals show 351.49 conversions and Search 350.49 conversions
  - Channel performance totals show only 126.33 conversions total
  - Channel report “Results” field clearly mixes micro conversions (page view, add to cart, begin checkout) with purchases
  - Therefore, “Conversions” in different reports may not be using the same conversion set/model
- Purchase-specific CPA cannot be fully trusted across all reports without confirming whether “Conversions” equals purchases or includes secondary actions.
- In channel report, “Results” lists Purchase counts separately for some campaigns, sometimes very different from total “Conversions”:
  - Example Cube_30Dec_CatchAll_Pmax on Google Search: 28.44 conversions total but Purchase only 7.01
- Landing page report only shows “Conversions” and not purchase-only conversion counts or conversion value by landing page.
- No explicit current active Search campaign report was provided beyond search terms rows and channel breakout; difficult to recommend exact budget reallocations by active campaign structure.
- Website URL field was blank, though URLs are visible in reports.

RECOMMENDED ANALYSIS ANGLE
- Focus recommendations on lowest purchase CPA, but explicitly caveat that conversion definitions are inconsistent across reports.
- Strongest evidence-based optimization direction:
  1) Shift spend toward Search and away from PMax/display/video placements, because Search drives nearly all measurable conversions while PMax/GDN/YouTube show poor or zero conversion efficiency in the provided data.
  2) Prioritize/force traffic to proven high-efficiency landing pages, especially /collections/best-sellers, and likely deprioritize expensive low-converting destinations like /shop/, try.sipjeng.com, and weak product/contact/about pages unless they are required for specific intent.
  3) Tighten search query quality with negatives, especially competitor, discount-code, irrelevant informational, and low-intent terms shown in the search terms export.
  4) Segment brand vs non-brand because visible branded term “sipjeng” is extremely efficient; mixing it with non-brand likely hides true CPA.
  5) Reduce or exclude placements/channels with spend and no conversions, especially GDN and YouTube within PMax if possible, or pause/rebuild PMax if purchase CPA is the primary KPI.
  6) Audit final URL expansion / automatic URL selection because many automatic/blog/about/contact landing pages are receiving traffic and often not converting.
- Best operator-style answer from Agent 2 should likely:
  - Call out the conversion discrepancy first
  - Rank actions by impact/confidence
  - Include exact pages/terms/campaigns to cut, scale, or isolate
  - Note where evidence is insufficient rather than overclaiming purchase-level certainty

Agent 2 — Client output

Executive diagnosis

Your lowest-CPA path is to get much stricter about two things: purchase measurement and traffic routing.

From the evidence provided, Search is carrying nearly all measurable conversion volume, while Performance Max spillover into GDN/YouTube is producing spend with no reported conversions. At the same time, the reports do not agree on what a “conversion” is, so purchase-CPA decisions need to be made carefully.

Two conflicting realities are visible:

  • Landing page report shows 351.49 conversions on $9,928.11 spend for the account, implying about $28.25 CPA.
  • Channel report shows only 126.33 conversions on $8,347.53 spend, implying about $66.08 CPA accountwide, and $57.86 CPA for Google Search alone ($7,309.65 / 126.33).
  • The channel report also separately lists Purchase inside the Results field, and in at least one campaign the purchase count is far below total conversions. Example: Cube_30Dec_CatchAll_Pmax on Google Search has 28.44 conversions but only 7.01 purchases.

So the core diagnosis is:

  • High confidence: non-Search inventory is wasting budget.
  • High confidence: final URL/landing-page routing is too loose; some URLs are clearly much better than others.
  • High confidence: query control needs tightening with negatives and brand/non-brand separation.
  • Medium confidence: /collections/best-sellers is your strongest destination by a wide margin in the landing-page report.
  • Low confidence unless measurement is cleaned up: exact purchase CPA by campaign, because your reports mix reported conversions/results definitions.

Biggest waste to cut

High confidence Non-Search PMax inventory

  • Google Display Network total: $492.40 spend, 0 conversions.
  • YouTube total: $540.58 spend, 0 conversions.
  • Search partners total: $3.31 spend, 0 conversions. Small, but still non-converting.

That is $1,036.29 of visible non-Search spend with zero reported conversions in the channel report.

High confidence Active PMax is currently expensive for purchase-CPA goals

  • Cube | New Pmax on Google Search: $198.46 spend / 1.00 conversion = $198.46 CPA.
  • Same active campaign on GDN: $154.22, 0 conversions.
  • Same active campaign on YouTube: $36.98, 0 conversions.
  • Same active campaign on Search partners: $2.26, 0 conversions.

If lowest purchase CPA is the KPI, the currently active PMax setup is not proving itself in this dataset.

High confidence Weak landing pages consuming meaningful spend

  • https://shop.sipjeng.com/shop/ (ADVERTISER): $3,231.88 / 29.33 conversions ≈ $110.16 CPA.
  • https://try.sipjeng.com/ (ADVERTISER): $2,802.50 / 44.00 conversions ≈ $63.69 CPA.
  • https://shop.sipjeng.com/ (ADVERTISER): $1,444.84 / 38.50 conversions ≈ $37.53 CPA.

Against that, https://sipjeng.com/collections/best-sellers (ADVERTISER) shows $951.15 / 207.65 ≈ $4.58 CPA. That gap is too large to ignore.

Scale opportunities

High confidence Route more paid traffic to /collections/best-sellers

This is the strongest destination in the landing page export by both scale and efficiency:

  • /collections/best-sellers (ADVERTISER): 791 clicks, $951.15 spend, 207.65 conversions, implied CPA $4.58.

Even allowing for conversion-definition ambiguity, it is still massively stronger than:

  • /shop/ at about $110.16 CPA
  • try.sipjeng.com/ at about $63.69 CPA
  • shop.sipjeng.com/ at about $37.53 CPA

Operator move: if your current Search ads are sending broad non-brand or generic product-intent traffic to /shop/ or try.sipjeng.com, test moving that traffic to /collections/best-sellers first.

Medium confidence Keep product/category pages that show signal, but do not scale them aggressively yet

  • /products/thc-infused-jeng-and-tonic (AUTOMATIC): $116.05 / 6 = $19.34 CPA.
  • /collections/non-alcoholic-thc-drinks (AUTOMATIC): $58.71 / 4 = $14.68 CPA.
  • /product/collection-sampler-6-pack/ (ADVERTISER): $99.65 / 4 = $24.91 CPA.
  • /blogs/blog/alcohol-alternative-drinks-2025 (AUTOMATIC): $423.97 / 10 = $42.40 CPA.

These are positive signals, but except for the blog URL they are small samples. Useful for isolation tests, not proof that they deserve major budget increases yet.

Medium confidence Brand demand is probably being mixed into broader campaigns

The visible term “sipjeng” in Cube_Search_W shows 2 clicks and 14.00 conversions at $0.34 total cost, which is mathematically impossible in a normal click-to-purchase sense and signals attribution/reporting distortion. Still, it is clearly a branded query with very strong reported conversion behavior. Brand should be isolated and protected, not mixed into generic campaigns.

Campaign-level changes

High confidence Pause or sharply deprioritize active PMax until purchase-only reporting is verified

  • Object: Cube | New Pmax
  • Action: pause now if purchase CPA is the only KPI, or cut budget to minimum test level while Search is rebuilt.

Why: the active PMax campaign shows $391.92 visible spend across Search + GDN + YouTube + Search partners in the channel report rows, with only 1.00 reported conversion and lots of page-view/add-to-cart activity. For a purchase-CPA objective, that is not competitive with Search or with the best landing-page routes.

High confidence Move budget concentration toward Search-only campaigns

  • Object: Search campaign budget allocation
  • Action: reallocate budget from PMax/display/video inventory into controlled Search campaigns split by brand and non-brand intent.

Reason: the channel report shows Google Search = 126.33 conversions on $7,309.65, while GDN/YouTube show zero conversions on $1,032.98 spend. Even if the conversion definition is mixed, Search is the only channel with actual measurable conversion volume.

Medium confidence Rebuild non-brand as tighter exact/phrase search, not broad/AI Max-heavy expansion

  • Object: Cube_Search_NonBrand_OCT_Relaunched_CPC
  • Action: tighten keyword set around proven commercial-intent categories and remove broad exploratory coverage that is generating competitor and discount-code leakage.

The truncated search term report shows broad/AI Max matching into irrelevant competitor and code-seeking queries. For lowest CPA, non-brand needs stricter control.

Medium confidence Keep brand separate with its own budget and exact/phrase coverage

  • Object: Cube_Search_Brand and any other campaign currently catching branded terms
  • Action: isolate brand terms into a dedicated brand campaign with exact + phrase variants and add brand negatives to non-brand campaigns.

This keeps the cheap branded traffic from inflating non-brand performance.

Ad group/keyword/search-term changes

High confidence Add negatives for visible waste terms and waste buckets

Based on the visible search terms, I would add negatives or exclusions immediately for these query types unless you intentionally want competitor conquesting:

  • Discount-code intent: “tost discount code”, “wims discount code first order”
  • Competitor/other-brand intent: “shimmerwood beverages”, “gaba spirits”, “melati drinks”, “cycling frog drinks”, “little saints negroni”, “seth rogen seltzer”, “where to buy de soi”, “drinkbrez llc”
  • Low-intent recipe/specs/info intent: “moscow mule specs”, “valentines cocktail recipes”, “freezer old fashioned”, “greyhound drink”, “monte carlo cocktail”

Visible cost-bearing non-converters worth excluding now:

  • “cbd drinks 50 mg” — $10.35, 0 conversions
  • “tost discount code” — $7.43, 0 conversions
  • “nootropic drinks to replace alcohol” — 4 clicks, $9.03, 0 conversions
  • “relaxing drinks instead of alcohol” — 1 click, $3.75, 0 conversions
  • “hemp infused seltzer” — 1 click, $3.46, 0 conversions

High confidence Add brand negatives into non-brand campaigns

  • Object: non-brand campaigns/ad groups, especially Cube_Search_NonBrand_OCT_Relaunched_CPC and Cube_Search_W if it is not intended as brand
  • Action: add brand negatives such as your brand name variants so brand demand stops leaking into generic campaigns.

The visible term “sipjeng” appeared in Cube_Search_W, not just a dedicated brand campaign. That is a structure problem if lowest non-brand CPA matters.

Medium confidence Isolate “mocktails” into its own exact/phrase test ad group

  • Object: keyword/query “mocktails”
  • Action: create an isolated ad group with exact and phrase match, custom ad copy, and send it to the best-matching high-conversion page.

Evidence is tiny: 1 click, 1 conversion, $0.85 cost. That is a positive signal, not scale-ready proof. Worth isolating, not broadening.

Medium confidence Reduce broad and AI Max query expansion in Search if purchase CPA is the KPI

  • Object: broad/AI Max-matched keyword coverage in Search campaigns
  • Action: pull back expansion where search term quality is drifting into competitors, recipes, and discount-code traffic.

The visible query mix says your match strategy is too permissive for a pure CPA objective.

Landing-page changes

High confidence Force traffic away from weak URLs and into proven pages

Top routing change:

  • Prefer: https://sipjeng.com/collections/best-sellers
  • Reduce: https://shop.sipjeng.com/shop/, https://try.sipjeng.com/, and general https://shop.sipjeng.com/ where possible

The arithmetic is too far apart to ignore:

  • /collections/best-sellers: $951.15 / 207.65 ≈ $4.58 CPA
  • /shop/: $3,231.88 / 29.33 ≈ $110.16 CPA
  • try.sipjeng.com/: $2,802.50 / 44 ≈ $63.69 CPA
  • shop.sipjeng.com/: $1,444.84 / 38.5 ≈ $37.53 CPA

High confidence Limit automatic URL expansion / automatic landing-page selection

The landing-page report shows automatic routing to blog, about, contact, and miscellaneous product/category URLs. Some are fine, but many are not purchase-efficient.

URLs with spend and zero conversions that should be excluded from paid routing unless intentionally tested:

  • https://sipjeng.com/products/thc-infused-paloma — $61.39, 0 conversions
  • https://sipjeng.com/collections/cbd-infused-drinks — $77.91, 0 conversions
  • https://sipjeng.com/products/thc-infused-rhubarb-cucumber-spritz — $14.21, 0 conversions
  • https://shop.sipjeng.com/shop/ (AUTOMATIC row) — $28.33, 0 conversions
  • https://shop.sipjeng.com/about/ (ADVERTISER) — $24.38, 0 conversions
  • https://shop.sipjeng.com/contact/ (ADVERTISER) — $20.05, 0 conversions
  • https://shop.sipjeng.com/product/summer-starter-pack/ — $16.61, 0 conversions
  • https://sipjeng.com/collections/functional-beverages — $35.39, 0 conversions

Conditional implementation note: if this traffic is coming from PMax final URL expansion, exclude these URLs there. If it is coming from Search sitelinks, dynamic landing pages, or ad-level final URLs, fix those specific assets/settings.

Medium confidence Keep one content-led test, but do not let blogs expand freely

https://sipjeng.com/blogs/blog/alcohol-alternative-drinks-2025 has a real signal at $423.97 / 10 = $42.40 CPA. That is not elite, but it is better than /shop/ and try.sipjeng.com in this report. If you want to keep content acquisition live, keep only the one or two content pages with actual conversion evidence and exclude the rest from paid routing.

Measurement caveats

This account has a measurement inconsistency that directly affects purchase-CPA decisions.

  • Landing page report total conversions: 351.49
  • Channel report total conversions: 126.33
  • Channel report also separately shows Purchase: 104.90 in the total Results string
  • Some campaign rows list micro actions like page views, add to carts, and begin checkouts alongside purchases
  • At least one search term shows 14 conversions from 2 clicks, which is not usable as literal purchase proof

What that means operationally:

  • Do not assume every “Conversions” column here equals purchases.
  • Do not scale campaigns purely off reported conversion totals until you confirm the primary conversion set used in each report.
  • Use the purchase counts visible in the channel report as the cleaner directional source where available, but even there the exports are mixed and not complete enough for a full purchase-only reconstruction.

For example, Cube_30Dec_CatchAll_Pmax on Google Search looks like $1,251.03 / 28.44 = $43.99 CPA if you use the Conversions column, but if you use the visible purchase count of 7.01, the implied purchase CPA is $178.46. That is a huge difference and exactly why measurement cleanup is a gating task.

24-hour action list

  1. Cube | New Pmax: pause the campaign, or cut budget to a bare minimum test level, because visible spend is about $391.92 with only 1.00 reported conversion and zero conversion volume on GDN/YouTube/Search partners.
  2. PMax final URL expansion / landing-page controls: exclude weak URLs from routing, specifically /shop/ automatic routing, /about/, /contact/, /products/thc-infused-paloma, /collections/cbd-infused-drinks, /products/thc-infused-rhubarb-cucumber-spritz, and other zero-conversion URLs listed above.
  3. Search ad final URLs: change generic non-brand traffic destination to https://sipjeng.com/collections/best-sellers for the main test cell.
  4. Non-brand campaigns: add negative keywords for tost discount code, wims discount code first order, cbd drinks 50 mg, nootropic drinks to replace alcohol, relaxing drinks instead of alcohol, hemp infused seltzer.
  5. Non-brand campaigns: add competitor negatives for visible other-brand terms including shimmerwood beverages, gaba spirits, melati drinks, cycling frog drinks, little saints negroni, seth rogen seltzer, drinkbrez llc, and where to buy de soi if that query is appearing in the actual report.
  6. Non-brand campaigns: add brand negatives so sipjeng and close variants stop leaking into generic campaigns.
  7. Brand campaign structure: verify that Cube_Search_Brand is active and fully covering exact + phrase brand terms; if not, build or relaunch it as a dedicated campaign.
  8. Cube_Search_NonBrand_OCT_Relaunched_CPC: reduce broad and AI Max-driven query expansion; keep exact and phrase variants for commercial-intent terms only.
  9. “mocktails” query: create a dedicated exact/phrase ad group test and send it to /collections/best-sellers or the closest proven category page.
  10. Conversion settings: confirm which actions are included in the Conversions column for each report and make sure purchase is the primary optimization action if lowest purchase CPA is the stated goal.
  11. Reporting: pull a purchase-only campaign report and a purchase-only search term report before making any major scale decisions.

7-day validation plan

High confidence What to validate first

  • Whether purchase-only CPA improves after cutting active PMax and pushing budget into Search.
  • Whether routing generic Search traffic to /collections/best-sellers lowers CPA versus /shop/ and try.sipjeng.com/.
  • Whether negative additions reduce spend on competitor/code/info traffic without hurting volume.

Operator check sequence

  1. Run purchase-only view: compare 7 days before vs 7 days after on Search campaigns only.
  2. Check search terms daily: confirm the excluded buckets stop spending.
  3. Check landing-page report: confirm paid clicks concentrate more heavily on /collections/best-sellers and less on excluded/about/contact/blog spillover pages.
  4. Check non-brand separately from brand: do not let branded purchase volume mask non-brand inefficiency.
  5. Recalculate CPA using actual purchase counts only: if a campaign is still above your acceptable purchase CPA after the cleanup, reduce it further or pause it.

Medium confidence Tests to run if measurement is cleaned up

  • Test /collections/best-sellers vs /collections/non-alcoholic-thc-drinks for THC/generic category intent.
  • Test /product/collection-sampler-6-pack/ as a dedicated final URL for sampler-intent terms only.
  • Keep one content page test only: /blogs/blog/alcohol-alternative-drinks-2025, but measure on purchase-only reporting before expanding any informational traffic.

Goal summary captured

Your stated goal is lowest CPA for purchase conversions for SipJeng Google Ads. Based on the three reports, the most defensible operator plan is:

  • cut PMax/display/video waste,
  • move spend into tightly controlled Search,
  • separate brand from non-brand,
  • add negatives aggressively,
  • force traffic toward /collections/best-sellers,
  • and fix purchase measurement before trusting reported conversion totals for scale decisions.

If you want, I can turn this into a literal implementation checklist by campaign/ad group/negative list format for direct Google Ads execution.

Agent 3 — QA report

VERDICT
revise

SCORES
request_match: 4/5
evidence_grounding: 3/5
detail_sufficiency: 4/5
actionability: 4/5
clarity: 4/5
overall: 3/5

WHAT WORKED
- Strong alignment to the client goal and preferred style: operator-style, specific optimizations, prioritized actions.
- Correctly surfaced the biggest issue first: conversion-definition inconsistency across reports, which is critical for a purchase-CPA brief.
- Recommendations are generally directionally supported by the evidence:
  - Shift away from non-Search inventory due to GDN/YouTube zero conversions in the channel report.
  - Tighten final URL routing based on large landing-page CPA gaps.
  - Add negatives and separate brand vs non-brand based on visible search terms.
- Arithmetic is mostly sound where shown:
  - Account CPA from landing page totals ≈ $28.25 is correct.
  - Search CPA from channel report ≈ $57.86 is correct.
  - Non-Search waste total $1,036.29 is correct from GDN + YouTube + Search partners.
  - Active PMax visible spend ≈ $391.92 is correct from listed rows.
  - Cube_30Dec_CatchAll_Pmax purchase CPA ≈ $178.46 using $1,251.03 / 7.01 is correct.
- Good use of confidence labels and caveats in several places.

FAILURES
- The answer overreaches on purchase-specific recommendations despite admitting the reports do not align on conversions. It repeatedly frames actions as “lowest purchase CPA” while much of the numeric support comes from generic “Conversions” columns that may include micro-actions.
- It treats /collections/best-sellers as a near-certain scale destination based on the landing-page report, but that report does not prove those are purchases. Given the conversion discrepancy, this should be positioned as the strongest reported-conversion page, not definitively the best purchase page.
- It recommends pausing active PMax “now” with high confidence. That may be directionally reasonable, but the evidence is still mixed because:
  - channel report conversions are not purchase-clean,
  - purchase counts are only partially visible in Results,
  - and the ask was based on 3 reports, not full campaign settings or attribution context.
  A stronger recommendation would be “cut/contain until purchase-only reporting confirms.”
- It implies brand leakage is a “structure problem” from one visible term (“sipjeng” in Cube_Search_W), but with the search terms report truncated and campaign intent labels unclear, that is not fully proven.
- Some recommendations rely on tiny samples but are still framed too assertively:
  - “mocktails” has 1 click / 1 conversion.
  - several landing pages with low CPA have only 2–23 clicks.
  These should be explicitly deprioritized as low-volume signals.
- It misses an important nuance: channel report total cost ($8,347.53) does not match landing page account cost ($9,928.11), not just conversions. That further weakens cross-report comparability and should have been called out.
- It does not prioritize the likely biggest controllable source of waste inside Search itself. Search spend is large, but the campaign examples shown still have mediocre CPAs if using channel-report conversions. “Move to Search” alone is too broad without stronger active Search campaign-level pruning guidance.

MISSED EVIDENCE
- The answer says the channel report total Results string shows “Purchase: 104.90,” but that figure was not included in the extracted facts provided to Agent 2 here. If that came from elsewhere in the raw export, it needed clearer traceability; as written, it is not grounded in the handoff facts.
- It introduced specific negative examples like “wims discount code first order,” “moscow mule specs,” “valentines cocktail recipes,” “freezer old fashioned,” “greyhound drink,” and “monte carlo cocktail.” These were not in the extracted facts. Since the search term report was truncated, those may exist in the raw text, but they were not established in the provided evidence summary, so they are weakly supported at best.
- It did not use one of the more important campaign facts available: Cube_Catch All_OCT drove 94.88 conversions on $5,334.65 in Google Search. Even with conversion ambiguity, that campaign dominates volume and deserved more direct treatment.
- It did not emphasize that PMax total in the landing-page report was 1 conversion on $391.91, which independently supports caution on PMax and would have strengthened the case without relying only on channel rows.
- It omitted the fact that some “automatic” landing pages like /about and homepage showed surprisingly low CPA but on tiny samples; that would have reinforced the need to avoid false positives from low volume.

HALLUCINATION CHECK
- Potential hallucination / unsupported evidence:
  - “Purchase: 104.90” in total Results string is not traceable to the extracted facts supplied in the handoff.
  - “wims discount code first order” is not in the extracted facts.
  - Several recipe/info query examples are not in the extracted facts.
- These may exist in the raw truncated CSV, but because Agent 2 did not cite them carefully and the handoff explicitly warned that the search term report is incomplete, this is a grounding failure.
- No obvious arithmetic hallucinations found, but there is some interpretive overconfidence from mixed conversion definitions.

REVISION NEEDED
- Tighten evidence discipline: remove any search terms or purchase totals not explicitly visible in the provided facts, or clearly label them as “if present in the raw export.”
- Downgrade confidence on purchase-specific claims that rely on generic conversion columns. Rephrase /collections/best-sellers as the strongest reported-conversion destination, not confirmed best purchase page.
- Reframe the PMax recommendation from “pause now” to “contain or pause pending purchase-only validation,” unless purchase-only data is explicitly cited.
- Add the additional cross-report inconsistency: costs differ materially across reports, not just conversions.
- Prioritize campaign actions more sharply:
  - contain active PMax,
  - isolate/clean brand,
  - prune non-brand query expansion,
  - and audit the dominant Search campaign(s), especially Cube_Catch All_OCT, using purchase-only reporting.
- Call out sample-size risk more consistently on low-click landing pages and search terms.

FINAL QA SUMMARY
This is a solid operator-style draft with useful actions, but it is not strong enough to approve as-is because it overstates certainty on purchase-CPA conclusions from mixed-conversion reports and includes at least a few items not clearly grounded in the provided evidence. The main strategy is directionally right, but the answer needs stricter traceability, stronger caveating on purchase-specific claims, and cleaner prioritization around the dominant Search campaigns.

Human feedback






Saved human feedback

No human feedback saved yet.