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Run 2026-03-26-034600-492158f4Mode llmStatus unknownQA completed37,108 est. tokens$0.2155 est. cost

Saved: 2026-03-26T03:46:00.524877+00:00
Model: gpt-5.4
Estimated input/output tokens: 27,293 / 9,815

No status detail.

Processed files

Agent 1 — Intake handoff

CLIENT ASK
Provide specific Google Ads optimizations for SipJeng based only on the attached 3 reports, with the primary goal of lowest CPA for purchase conversions.

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

2) “Channel Performance” file is actually a Search terms insight / channel breakdown report
- Date range: September 25, 2025 - March 23, 2026
- Dimensions: Channel, Status, Campaign, Impressions, Clicks, Interactions, Conversions, Conv. value, Cost, Results
- Breaks PMax/search-like campaigns by Google Search, Display, YouTube, Search partners, etc.
- Includes totals by channel

3) Search terms report (180d)
- Date range: September 25, 2025 - March 23, 2026
- Dimensions: Search term, Match type, Added/Excluded, Campaign, Ad group, Avg. CPM, Clicks, Impressions, CTR, Avg. CPC, Cost, Campaign type, Conv. rate, Conversions, Cost/conv.
- File is truncated in the provided text, so full search term dataset is not available

EXTRACTED FACTS
Account-level / network-level
- Total Account: 3,343 clicks, 147,440 impressions, 2.27% CTR, avg CPC $2.97, cost $9,928.11, conversions 351.49
- Total Landing pages: 3,120 clicks, 147,440 impressions, 2.12% CTR, avg CPC $2.88, cost $8,984.10, conversions 351.49
- Search total: 2,844 clicks, 117,027 impressions, 2.43% CTR, avg CPC $3.35, cost $9,536.20, conversions 350.49
- Performance Max total: 499 clicks, 30,413 impressions, 1.64% CTR, avg CPC $0.79, cost $391.91, conversions 1.00
- Strong contradiction: channel report shows far more conversions and spend in PMax-related campaigns/channels than landing page total for Performance Max suggests. This likely reflects different conversion actions, attribution, or report scopes.

Best-performing landing pages by purchase-like conversion volume
- 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 ≈ $110.15
- 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://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/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://sipjeng.com/pages/about (AUTOMATIC)
  - 6 clicks, 19 impr, 31.58% CTR, $5.53 CPC, $33.15 cost, 2.00 conversions
  - Very low sample size; 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/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

Landing pages with material spend and zero conversions
- /products/thc-infused-paloma (AUTOMATIC): 8 clicks, $61.39, 0 conv
- /collections/cbd-infused-drinks (AUTOMATIC): 20 clicks, $77.91, 0 conv
- /blogs/blog/thc-cocktails-montauk-beach: 1 click, $4.76, 0 conv
- /products/thc-infused-rhubarb-cucumber-spritz: 1 click, $14.21, 0 conv
- /blogs/blog/drinks-to-replace-alcohol: 14 clicks, $14.07, 0 conv
- /shop.sipjeng.com/product/sweet-spot-pack/ (ADVERTISER): 2 clicks, $7.95, 0 conv
- /blogs/news/meet-jeng...: 6 clicks, $37.63, 0 conv
- /blogs/blog/why-cbd-is-the-best...: 6 clicks, $14.27, 0 conv
- /collections/microdose-drinks: 10 clicks, $19.74, 0 conv
- /collections/low-sugar-cocktails: 2 clicks, $15.34, 0 conv
- /collections/functional-beverages: 6 clicks, $35.39, 0 conv
- /pages/store-locator: 1 click, $6.22, 0 conv
- Many of these are automatic URL expansion / non-core pages

Channel/campaign report facts
- Total all channels/campaigns: 556,348 impr, 3,973 clicks, 69,895 interactions, 126.33 conversions, conv value $10,027.42, cost $8,347.53
- Google Search total: 214,867 impr, 1,877 clicks, 126.33 conversions, conv value $10,027.42, cost $7,309.65
  - Implied CPA ≈ $57.86
- Google Display Network total: 183,361 impr, 1,702 clicks, 0 conversions, cost $492.40
- YouTube total: 157,826 impr, 389 clicks, 0 conversions, cost $540.58
- Search partners total: 222 impr, 5 clicks, 0 conversions, cost $3.31
- PMax/non-search channels appear to drive page views and upper-funnel actions but no conversions in this report

Campaign-level signals from channel report
- Cube_Catch All_OCT on Google Search (PAUSED)
  - 135,613 impr, 1,418 clicks, 94.88 conversions, conv value $9,153.13, cost $5,334.65
  - Implied CPA ≈ $56.22
- Cube_30Dec_CatchAll_Pmax on Google Search (PAUSED)
  - 72,373 impr, 300 clicks, 28.44 conversions, conv value $715.66, cost $1,251.03
  - Implied CPA ≈ $43.99
  - Results line says Purchase only 7.01 while total conversions 28.44, so non-purchase actions are included in conversion total
- Cube | New Pmax on Google Search (ACTIVE)
  - 1,618 impr, 63 clicks, 1.00 conversion, conv value $23.09, cost $198.46
  - Implied CPA ≈ $198.46
  - Results include Add to cart 6, Begin checkout 4, Page View 127, Purchase 1
- Cube | New Pmax on Google Display Network (ACTIVE)
  - 24,629 impr, 429 clicks, 0 conversions, cost $154.22
- Cube | New Pmax on YouTube (ACTIVE)
  - 4,107 impr, 5 clicks, 0 conversions, cost $36.98
- Cube_Pmax on Google Search (PAUSED)
  - 2,661 impr, 81 clicks, 1.00 conversion, cost $481.72
  - Implied CPA ≈ $481.72
- Cube | PMax - Website Traffic on Google Search (PAUSED)
  - 1,554 impr, 11 clicks, 1.01 conversions, conv value $109.55, cost $30.16
  - Good CPA but tiny scale; likely mixed conversion actions

Search term report facts
- Search term report is partial/truncated, so only limited search query evidence is available
- Some clearly irrelevant/competitor queries present in brand and nonbrand campaigns:
  - shimmerwood beverages
  - gaba spirits
  - melati drinks
  - wunder drink
  - cycling frog drinks
  - drinkbrez llc
  - little saints negroni
  - seth rogen seltzer
  - tost discount code
  - athletic brewing seltzer
  - where to buy de soi
  - canna pump drink
  - adaptogen drink
  - nowadays drink near me
  - where to buy ohho drinks
  - sixsip drink
- Informational/top-funnel queries with poor/no conversion evidence:
  - spicy margarita mocktail
  - non alcoholic mimosa
  - drinks that give the same effect as alcohol
  - drink recipes non alcoholic
  - making a mocktail
  - mocktails with club soda
- Queries with some positive signal in provided snippet:
  - mocktails: 1 click, 36 impr, CTR 2.78%, CPC $0.85, conv rate 100%, 1.00 conv, CPA $0.85
  - sipjeng: 2 clicks, 2 impr, CTR 100%, CPC $0.17, 14.00 conversions, CPA $0.02
    - This is highly suspect / likely micro-conversion inflation, because 14 conversions from 2 clicks is not plausible for purchases
- Some expensive non-converting queries in snippet:
  - cbd drinks 50 mg: 1 click, $10.35, 0 conv
  - tost discount code: 1 click, $7.43, 0 conv
  - hemp infused seltzer: 1 click, $3.46, 0 conv
  - nootropic drinks to replace alcohol: 4 clicks, $9.03, 0 conv
  - relaxing drinks instead of alcohol: 1 click, $3.75, 0 conv

OBSERVED METRICS
Primary measurable metrics available
- Clicks
- Impressions
- CTR
- Avg CPC
- Cost
- Conversions
- Conversion value
- Results by action type in channel report
- Cost/conv and conv rate in search term report

Derived CPAs from landing pages
- /collections/best-sellers (ADVERTISER): ~$4.58
- /collections/non-alcoholic-thc-drinks: ~$14.68
- /products/thc-infused-jeng-and-tonic: ~$19.34
- /pages/about: ~$16.58, tiny sample
- Homepage automatic: ~$25.23
- /product/collection-sampler-6-pack/ advertiser: ~$24.91
- try.sipjeng.com: ~$63.69
- shop.sipjeng.com: ~$37.53
- /shop/: ~$110.15
- alcohol-alternative-drinks-2025 blog: ~$42.40

Derived CPAs from channel report
- Total Google Search: ~$57.86
- Catch All OCT Search: ~$56.22
- 30Dec CatchAll Search: ~$43.99
- New Pmax Search: ~$198.46
- Cube_Pmax Search: ~$481.72

Key ratio observations
- Search drives nearly all conversions in channel report: 126.33 of 126.33
- Display + YouTube spend in channel report totals $1,032.98 with 0 conversions
- In landing page report, Search total = 350.49 conv vs PMax total = 1.00 conv
- Landing page report strongly favors a few URLs, especially /collections/best-sellers

GAPS/UNCERTAINTY
- No screenshots were actually provided; only CSV text exports
- The third report is truncated, so search term analysis is incomplete
- Conversion definition is inconsistent across reports:
  - Landing page report likely uses a conversion column that may include fractional conversions/data-driven attribution
  - Channel report clearly mixes purchases with add-to-cart, begin checkout, and page view in “Results,” while the “Conversions” field may still not equal purchases only
  - Search term report shows impossible-looking values for “sipjeng” (14 conversions from 2 clicks), indicating micro-conversions or duplicated/all-conversion counting rather than purchases only
- Client goal is lowest CPA for purchase conversion, but purchase-only metrics are not cleanly isolated in all files
- No campaign budgets, bidding strategies, geo/device/daypart/audience breakdowns, product margins, or landing page CVR by purchase only
- No account structure overview for active Search campaigns beyond partial campaign names
- No actual keyword-level totals by spend/conversions beyond snippet
- No clarity whether “ADVERTISER” vs “AUTOMATIC” landing pages correspond to final URL expansion in PMax or DSA-like behavior
- No evidence on branded vs non-branded spend totals, though snippets suggest brand queries exist and may inflate conversion efficiency
- Contradiction between landing page Performance Max total (499 clicks, 1 conv, $391.91) and channel report active/paused PMax-related campaigns showing much broader spend and more conversions on Google Search. Needs cautious interpretation.

RECOMMENDED ANALYSIS ANGLE
- Anchor recommendations around purchase-efficiency proxies while explicitly caveating conversion inconsistency.
- Prioritize concrete operator actions:
  1) Reallocate traffic toward proven landing pages:
     - Scale /collections/best-sellers first
     - Test /collections/non-alcoholic-thc-drinks and /products/thc-infused-jeng-and-tonic as dedicated destinations
     - Deprioritize /shop.sipjeng.com/shop/ due to high spend and weak CPA
  2) Reduce/stop waste from automatic URL expansion and weak pages:
     - Exclude blog/news/about/contact/stockists/store locator and weak product pages from URL expansion where possible
     - Focus ads on commercial collection/product pages only
  3) Cut non-converting non-search inventory in PMax:
     - Display and YouTube show spend with 0 conversions in channel report
     - Suggest asset group/feed/url controls or shifting budget from PMax to Search if purchase CPA is the objective
  4) Tighten search query quality:
     - Add negatives for competitor brands, discount-code seekers for other brands, recipe/informational queries, and irrelevant beverage brands
     - Keep/expand branded exact/phrase if purchase-efficient and separated from non-brand
  5) Separate brand vs non-brand budgets and reporting:
     - Brand likely highly efficient and may mask non-brand CPA
     - Need dedicated purchase-only reporting
  6) Review bidding/conversion settings immediately:
     - Ensure primary conversion is Purchase only for bidding
     - Demote page views/add-to-cart/begin checkout from primary if currently included
     - This is the most important caveat before trusting CPA recommendations
  7) Focus Search over PMax for lowest purchase CPA until tracking is cleaned:
     - Search accounts for essentially all measured conversions in channel report
     - Active “Cube | New Pmax” looks poor on search and non-converting on display/video
- Agent 2 should present recommendations as actionable optimizations with confidence levels: high confidence on landing page and channel waste findings; medium/low confidence on query-level actions due to truncated report and mixed conversion definitions.

Agent 2 — Client output

Executive diagnosis

Your stated goal is lowest CPA for purchase conversions. Based on these three exports, the account has two immediate issues:

  • High confidence Spend is leaking into weak destinations and non-search inventory that are not showing reported conversions in the channel report.
  • High confidence Purchase measurement is not clean across reports, so some “conversion” totals are clearly mixed with other actions and should not be treated as pure purchase proof.

The clearest no-regret pattern is this: Search is carrying the measurable results, while Display and YouTube are spending without reported conversions in the channel report. On the landing-page side, a small number of commercial pages account for most reported conversions, and several automatic/info pages absorbed spend with zero reported conversions.

The strongest landing-page signal is /collections/best-sellers: $951.15 spend / 207.65 reported conversions ≈ $4.58 CPA. By contrast, https://shop.sipjeng.com/shop/ shows $3,231.88 / 29.33 ≈ $110.15 CPA, and https://try.sipjeng.com/ shows $2,802.50 / 44.00 ≈ $63.69 CPA. If your goal is lowest CPA, traffic should be pushed toward the former and constrained away from the latter until purchase-only measurement confirms otherwise.

Important caveat: the reports do not align. The landing-page report shows Performance Max total at $391.91 and 1.00 conversion, but the channel report shows much more spend and mixed results attached to PMax-related campaigns. Also, the search term export includes impossible-looking values such as 14.00 conversions from 2 clicks on “sipjeng,” which strongly suggests mixed or inflated conversion counting. That means I can give you strong waste-cutting actions now, but I would not scale aggressively off reported conversion counts until purchase tracking is cleaned up.

Biggest waste to cut

High-confidence / no-regret cuts

  • Reduce or stop active non-search PMax inventory until purchase-only reporting is verified. In the channel report:
    • Google Display Network total: $492.40 spend, 0.00 conversions
    • YouTube total: $540.58 spend, 0.00 conversions
    • Combined non-search waste shown there: $1,032.98 with 0.00 conversions

    That is the cleanest cross-report waste signal in the data.

  • Pull traffic away from weak automatic/info destinations. The landing-page report shows spend on pages with zero reported conversions, including:
    • /products/thc-infused-paloma — $61.39, 0.00
    • /collections/cbd-infused-drinks — $77.91, 0.00
    • /blogs/news/meet-jeng-the-alcohol-free-hemp-infused-beverage-for-cocktail-lovers — $37.63, 0.00
    • /collections/functional-beverages — $35.39, 0.00
    • /collections/microdose-drinks — $19.74, 0.00
    • /collections/low-sugar-cocktails — $15.34, 0.00
    • /pages/store-locator — $6.22, 0.00
    • /blogs/blog/drinks-to-replace-alcohol — $14.07, 0.00

    These are not all large individually, but they are exactly the kind of low-intent page routing that should be shut down when CPA is the goal.

  • De-prioritize the broad shop route as a main destination. https://shop.sipjeng.com/shop/ is the largest clear landing-page inefficiency in the file: $3,231.88 spend / 29.33 reported conversions ≈ $110.15 CPA. That is materially worse than the stronger collection/product pages.
  • Tighten competitor and discount-code leakage in Search. The partial search term file shows irrelevant or weak-intent competitor/query buckets such as:
    • competitor beverage brands: “gaba spirits,” “melati drinks,” “wunder drink,” “cycling frog drinks,” “drinkbrez llc,” “little saints negroni,” “where to buy de soi,” “where to buy ohho drinks,” “sixsip drink”
    • discount-code intent: “tost discount code”
    • generic/recipe info intent: “spicy margarita mocktail,” “non alcoholic mimosa,” “drink recipes non alcoholic,” “making a mocktail,” “mocktails with club soda”

    Given the goal, these should be excluded as intent buckets unless you have separate campaigns designed for conquesting or content traffic.

Scale opportunities

Medium-confidence directional tests

  • Bias more search traffic toward /collections/best-sellers. It has the strongest volume and best reported CPA in the landing-page file: $951.15 / 207.65 ≈ $4.58. Even allowing for mixed attribution, that is too large a gap to ignore versus the shop route and try page.
  • Test dedicated commercial routing to /collections/non-alcoholic-thc-drinks. It shows $58.71 / 4.00 ≈ $14.68. Small sample, but directionally strong.
  • Test dedicated routing to /products/thc-infused-jeng-and-tonic. It shows $116.05 / 6.00 ≈ $19.34. Again, not huge scale, but materially better than the generic shop route.
  • Keep /shop.sipjeng.com/ as a secondary test, not the default winner. It shows $1,444.84 / 38.50 ≈ $37.53, which is much better than /shop/ but still worse than the best collection/product pages.
  • Use the collection sampler page only as a controlled test. /product/collection-sampler-6-pack/ shows $99.65 / 4.00 ≈ $24.91. Positive signal, but not enough volume to call it a scale-ready winner.

Low-confidence or measurement-gated ideas

  • Do not scale brand off the current query-level conversion counts. The “sipjeng” row shows 2 clicks and 14.00 conversions, which is not credible as purchase-only behavior. Brand may be efficient, but the export does not support using that row as proof.
  • Do not scale active PMax search inventory as a proven purchase winner. “Cube | New Pmax” on Google Search shows $198.46 / 1.00 ≈ $198.46 CPA, and its results mix in add to cart, begin checkout, and page views. That is not scale evidence for lowest purchase CPA.

Campaign-level changes

High-confidence / no-regret

  • Move budget priority toward Search, away from PMax non-search surfaces. Channel report shows Google Search at $7,309.65 spend and 126.33 conversions, while Display and YouTube together spent $1,032.98 with 0.00 conversions. Even with mixed conversion semantics, the relative direction is clear.
  • If “Cube | New Pmax” is still active, cap or reduce it sharply until purchase-only measurement is fixed.
    • Google Search row: $198.46 / 1.00 ≈ $198.46
    • Google Display row: $154.22 / 0.00
    • YouTube row: $36.98 / 0.00
  • Keep Search campaigns focused on commercial intent and proven destinations. The older paused search-driving campaigns in the channel report are not automatically “good,” but they do show that reported results were concentrated on Google Search, not Display/YouTube.

Medium-confidence directional tests

  • Split brand and non-brand budgets/reporting if not already separated. The search term file shows brand traffic exists, and brand likely inflates efficiency, but the current exports do not give a clean brand vs non-brand spend/CPA rollup. Separate budgets and purchase-only reporting are needed so non-brand can be judged honestly.
  • Create or tighten destination-specific Search campaigns/ad groups around the strongest pages. Specifically, routes centered on:
    • /collections/best-sellers
    • /collections/non-alcoholic-thc-drinks
    • /products/thc-infused-jeng-and-tonic

    Use these as destination tests against the current broader shop routing.

Low-confidence or measurement-gated

  • Do not make large bid increases based on reported conversion CPA alone. The reports conflict, and some rows clearly contain non-purchase actions in parallel with purchases.

Ad group/keyword/search-term changes

High-confidence / no-regret

  • Add negatives for competitor-brand intent buckets shown in the export. Start with grouped exclusions around competitor brand names and “where to buy” competitor phrases. The visible examples support this pattern, but because the file is truncated, treat the exact list as seed terms, not the full cleanup set.
  • Add negatives for other-brand discount-code intent. “tost discount code” is directly visible and spent $7.43 with 0.00 conversions in the snippet. Broaden this into a discount-code exclusion check for non-brand terms.
  • Add negatives for recipe/how-to informational buckets unless they are in a separate content campaign. Visible examples include:
    • “spicy margarita mocktail”
    • “non alcoholic mimosa”
    • “drink recipes non alcoholic”
    • “making a mocktail”
    • “mocktails with club soda”

    Those are weak fits for a lowest-CPA purchase objective.

  • Audit broad and AI-expanded matching in brand campaigns. The visible rows show competitor terms entering Cube_Search_Brand. That is a strong sign your brand coverage is too loose, whether due to broad/AI matching or another expansion mechanism. Tighten it.

Medium-confidence directional tests

  • Isolate high-intent commercial themes into exact/phrase-led ad groups. Based on the landing-page winners, build tighter keyword-to-page mapping around best-sellers, non-alcoholic THC drinks, and the jeng-and-tonic product instead of sending mixed traffic to broad shop routes.
  • Treat “mocktails” only as a signal, not a winner. It shows 1 click, 1.00 conversion, $0.85 CPA in the snippet, which is positive, but that is far too little data to justify scaling on its own.
  • Trim expensive single-click misses only in aggregate. Examples shown include:
    • “cbd drinks 50 mg” — $10.35, 0.00
    • “hemp infused seltzer” — $3.46, 0.00
    • “relaxing drinks instead of alcohol” — $3.75, 0.00

    Individually these are not enough to overreact to, but as intent buckets they support tighter matching and negatives.

Low-confidence or measurement-gated

  • Do not use the “sipjeng” search term row for optimization logic beyond measurement cleanup. 2 clicks and 14.00 conversions is an anomaly, not actionable purchase evidence.

Landing-page changes

High-confidence / no-regret

  • Make /collections/best-sellers the primary destination for generic commercial traffic tests. It is the strongest page in the report by both volume and implied CPA.
  • Reduce use of /shop.sipjeng.com/shop/ as a catch-all destination. At ~$110.15 CPA on reported conversions, it is underperforming versus stronger collection/product pages.
  • Exclude low-intent automatic URLs from traffic expansion where possible. Based on the landing-page report, at minimum audit and restrict routing to:
    • blog pages
    • news pages
    • about/contact/store locator/stockists pages
    • weaker collection pages with spend and zero reported conversions

    If URL expansion or automated final URL selection is enabled anywhere, fence it to commercial collection/product URLs only.

Medium-confidence directional tests

  • Run destination A/B routing tests inside Search:
    1. /collections/best-sellers
    2. /collections/non-alcoholic-thc-drinks
    3. /products/thc-infused-jeng-and-tonic
    4. /shop.sipjeng.com/

    Judge them on purchase-only CPA once measurement is fixed.

  • Keep try.sipjeng.com under pressure. It has volume, but $2,802.50 / 44.00 ≈ $63.69 CPA, which is much weaker than best-sellers and weaker than some other commercial pages.

Low-confidence or measurement-gated

  • Do not declare blog traffic a scaling win. One blog page shows $423.97 / 10.00 ≈ $42.40, but because the conversion definition is mixed across reports, I would treat that as an observation, not proof that informational pages should be expanded for purchase CPA.

Measurement caveats

This account needs measurement cleanup before you trust “lowest CPA for purchase conversion” reporting.

  • Report conflict: landing-page Performance Max total is $391.91 and 1.00 conversion, while the channel report shows substantially more PMax-related spend and mixed result types. These are not reconciling cleanly.
  • Mixed action semantics: the channel report explicitly lists results like Add to cart, Begin checkout, Page View, and Purchase together. That means parts of the account are definitely tracking non-purchase actions alongside purchases.
  • Impossible query-level behavior: “sipjeng” shows 14.00 conversions from 2 clicks. That is not reliable purchase evidence.
  • Fractional conversions: values like 29.33, 38.50, and 94.88 suggest modeled or attributed fractional reporting. That is normal in some setups, but it lowers confidence when mixed with the other inconsistencies.

Practical implication: use the current data for waste reduction and traffic shaping, not for aggressive scale decisions. Before scaling, make sure bidding and reporting are anchored to purchase only, not mixed reported conversions/results.

24-hour action list

  1. Cube | New Pmax: reduce budget sharply or pause if lowest purchase CPA is the only objective, because the active rows show $198.46 on Google Search for 1.00 conversion, plus $154.22 on Display for 0.00 conversions and $36.98 on YouTube for 0.00 conversions.
  2. All active campaigns using automated URL routing: restrict final URL targets to commercial collection/product pages only; exclude blog, news, about, contact, stockists, store locator, and weak collection pages with spend and zero reported conversions.
  3. Search campaigns sending traffic to https://shop.sipjeng.com/shop/: replace that default route with /collections/best-sellers for generic commercial traffic tests.
  4. Search campaigns/ad groups tied to generic commercial intent: create or prioritize ads pointing to /collections/best-sellers, /collections/non-alcoholic-thc-drinks, and /products/thc-infused-jeng-and-tonic.
  5. Cube_Search_Brand: add negatives or tighten matching to stop competitor-brand leakage visible in the export.
  6. Relevant Search campaigns: add negative patterns for competitor brand names, competitor “where to buy” phrases, and other-brand discount-code searches; use “tost discount code” as a directly supported seed example.
  7. Relevant Search campaigns: add negative patterns for recipe/how-to informational terms, using the visible examples as the first cleanup bucket.
  8. Account conversion settings: verify that bidding optimization is using purchase only as the primary action. If add to cart, begin checkout, or page view are primary for bidding, demote them.
  9. Reporting setup: build one purchase-only view by campaign and landing page before any budget increases.

7-day validation plan

  1. Validate measurement first. Confirm whether purchase is the primary bidding/reporting action for the campaigns still running.
  2. Compare destination performance after routing changes. Measure purchase-only CPA for:
    • /collections/best-sellers
    • /collections/non-alcoholic-thc-drinks
    • /products/thc-infused-jeng-and-tonic
    • /shop.sipjeng.com/
    • /shop.sipjeng.com/shop/
  3. Check search term quality after negatives are applied. Specifically confirm reduction in:
    • competitor brand searches
    • competitor “where to buy” searches
    • discount-code searches for other brands
    • recipe/how-to informational searches
  4. Review whether non-search PMax spend has been contained. If Display/YouTube continue spending without purchase evidence, keep budgets suppressed.
  5. Re-rank campaigns by purchase-only CPA, not reported conversions. Until then, treat current reported CPA as directional only.
  6. Separate brand and non-brand reporting. That will tell you whether efficient-looking results are real non-brand acquisition or mostly branded demand capture.

Goal summary captured

You asked for specific Google Ads optimizations based only on the attached reports, with the primary goal of lowest CPA for purchase conversions.

The strongest evidence-backed actions are:

  • High confidence cut non-search PMax waste shown in Display and YouTube
  • High confidence stop routing traffic to weak automatic/info pages
  • High confidence shift destination emphasis away from /shop/ and toward /collections/best-sellers
  • High confidence tighten search terms with negatives for competitor, discount-code, and recipe/info intent
  • High confidence fix purchase-only measurement before trusting scale decisions

If you want, I can turn this into a tighter implementation sheet next: campaign-by-campaign change list with exact pause/restrict/add-negative actions.

Agent 3 — QA report

VERDICT
approve_with_warnings

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

WHAT WORKED
- The response stays focused on the client’s ask: specific Google Ads optimizations aimed at lowering CPA for purchase conversions.
- It correctly anchors recommendations in the provided evidence and repeatedly caveats that conversion definitions are inconsistent across reports.
- Good use of arithmetic on the key landing pages:
  - /collections/best-sellers ≈ $951.15 / 207.65 = $4.58
  - /shop.sipjeng.com/shop/ ≈ $3,231.88 / 29.33 = $110.15
  - try.sipjeng.com ≈ $2,802.50 / 44 = $63.69
- It appropriately calls out the strongest waste signal in the channel report: Display + YouTube spend with 0 conversions ($492.40 + $540.58 = $1,032.98).
- It is appropriately skeptical of the “sipjeng” query row showing 14 conversions from 2 clicks and does not overuse it.
- It distinguishes between high-confidence actions and measurement-gated actions, which is important given the conflicting reports.
- It offers concrete operator-style actions: restrict URL expansion, add negatives, shift destination emphasis, validate purchase-only conversion settings.

FAILURES
- It overstates some recommendations that depend on channel control. “Reduce or stop active non-search PMax inventory” is directionally sensible, but the report is a channel breakdown and does not prove the user can directly suppress Display/YouTube inventory inside the cited campaign structure. The recommendation should have been framed more carefully as reduce PMax reliance / shift budget to Search rather than implying precise inventory exclusion is definitely available.
- It recommends “replace that default route with /collections/best-sellers for generic commercial traffic tests” for Search campaigns sending traffic to /shop.sipjeng.com/shop/. That is plausible, but not fully evidenced because the landing page report does not isolate campaign/query intent by destination. Some of /shop/ traffic may represent different intent than best-sellers traffic.
- It says competitor terms are entering Cube_Search_Brand and calls that a “strong sign your brand coverage is too loose.” That may be true, but the handoff only says competitor queries are present in brand and nonbrand campaigns; without explicit search-term-to-campaign row evidence shown in the answer, this is slightly overclaimed.
- It recommends excluding about/contact/stockists pages broadly. Some of those pages had trivial or zero spend; that advice is directionally fine, but it is more generalized than the evidence supports. A tighter prioritization should have focused first on pages with actual spend and enough clicks to matter.
- It does not prioritize by impact as sharply as it could. The biggest proven waste/action items are: measurement cleanup, /shop/ destination de-prioritization, and non-search spend reduction. The answer is long, but some lower-value items get similar weight to the highest-impact fixes.

MISSED EVIDENCE
- It did not highlight how extreme the report contradiction is between landing-page Search total (350.49 conversions) and channel-report total conversions (126.33). That inconsistency is central to how much confidence should be placed in CPA comparisons.
- It missed the nuance that some PMax-related campaigns show Google Search conversions in the channel report, while the landing-page report shows PMax total at just 1 conversion. That contradiction should have led to even stronger caution against using campaign-level “PMax” labels as if they are consistent across files.
- It could have referenced the specific “Results line says Purchase only 7.01 while total conversions 28.44” for Cube_30Dec_CatchAll_Pmax as a stronger proof that conversion totals are mixed and not purchase-only.
- It did not mention Google Search total CPA from the channel report (~$57.86) when recommending budget shifts; using that would have better grounded the Search-vs-other-surfaces recommendation.
- It did not sufficiently stress sample-size weakness on small landing-page winners like /pages/about, /collections/non-alcoholic-thc-drinks, and /products/thc-infused-jeng-and-tonic. It notes “small sample” in some places, but the recommendation set still risks over-reading low-volume pages.

HALLUCINATION CHECK
- No major fabricated metrics detected.
- Arithmetic shown appears correct for the cited CPA examples.
- The statement that competitor queries are visible in Cube_Search_Brand is not fully traceable from the handoff text alone; the handoff says competitor queries were present in brand and nonbrand campaigns, but does not enumerate campaign row evidence in the excerpt. This is a minor grounding issue.
- Suggestions about restricting URL expansion and excluding pages are reasonable operational ideas, but they are recommendations, not directly evidenced facts. The answer mostly presents them correctly as actions rather than facts.
- The answer avoids inventing ROAS, CVR improvements, budget levels, or bid strategy settings not present in the inputs.

REVISION NEEDED
- Tighten claims around what can be controlled inside PMax/channel inventory; avoid implying exact suppression methods unless supported.
- Add stronger emphasis that all CPA comparisons are directional because purchase-only conversion measurement is not cleanly isolated.
- Re-prioritize top 3 actions by likely impact:
  1) purchase-only conversion setup cleanup
  2) shift away from /shop/ and weak automatic URLs toward best-sellers/commercial pages
  3) reduce reliance on non-search PMax surfaces / shift budget to Search until purchase evidence exists
- Soften the campaign-specific claim about Cube_Search_Brand unless the campaign association is explicitly shown in the provided rows.
- Note more explicitly that small-sample landing pages are tests, not winners.

FINAL QA SUMMARY
This is a strong, useful operator-style answer, but not flawless. It matches the ask, uses the provided numbers correctly, and is appropriately skeptical about conversion quality. The biggest strengths are the clear waste-cutting recommendations and repeated warning that “conversions” are not reliably purchase-only. The main weaknesses are slight overreach on some campaign/control assumptions, not enough emphasis on the severity of cross-report inconsistencies, and a few recommendations that are more plausible than fully proven. Good enough to send with caution, but it should be treated as directional optimization guidance until purchase-only measurement is fixed.

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