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Run 2026-03-26-033723-1ff96d29Mode llmStatus unknownQA completed37,660 est. tokens$0.2237 est. cost

Saved: 2026-03-26T03:37:23.424145+00:00
Model: gpt-5.4
Estimated input/output tokens: 27,293 / 10,367

No status detail.

Processed files

Agent 1 — Intake handoff

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

PROVIDED EVIDENCE
1) Landing page report CSV
- Title/date range: “Landing page report” from September 25, 2025 - March 23, 2026
- Columns include: Landing page, Selected by, Clicks, Impr., CTR, Avg. CPC, Cost, Conversions

2) Channel performance / search terms insight report CSV
- Title/date range: “Search terms insight report” from September 25, 2025 - March 23, 2026
- Despite file name “Channel_Performance,” data is channel x campaign level
- Columns include: Channels, Status, Campaigns, Impr., Clicks, Interactions, Conversions, Conv. value, Cost, Results, Results value

3) Search terms report CSV
- Title/date range: “Search terms report” from September 25, 2025 - March 23, 2026
- Columns include: Search term, Match type, Added/Excluded, Campaign, Ad group, Clicks, Impr., CTR, Avg. CPC, Cost, Campaign type, Conv. rate, Conversions, Cost/conv.
- File is truncated in the provided text, so not all rows are available

No screenshots were provided. Only CSV text exports.

EXTRACTED FACTS
Account-level / overall
- Landing page total: 3,120 clicks, 147,440 impressions, 2.12% CTR, $2.88 avg CPC, $8,984.10 cost, 351.49 conversions
- Account total: 3,343 clicks, 147,440 impressions, 2.27% CTR, $2.97 avg CPC, $9,928.11 cost, 351.49 conversions
- By network totals in landing page report:
  - Search: 2,844 clicks, 117,027 impressions, 2.43% CTR, $3.35 avg CPC, $9,536.20 cost, 350.49 conversions
  - Performance Max: 499 clicks, 30,413 impressions, 1.64% CTR, $0.79 avg CPC, $391.91 cost, 1.00 conversion
  - Display/Demand Gen/Shopping: 0 conversions in those totals

Implication:
- Nearly all reported conversions are coming from Search, not PMax, despite channel report showing mixed campaign/channel activity. There may be attribution/reporting differences across reports.

Top landing pages by conversion volume
- https://sipjeng.com/collections/best-sellers (ADVERTISER)
  - 791 clicks, 55,088 impressions, 1.44% CTR, $1.20 CPC, $951.15 cost, 207.65 conversions
  - Approx CPA: $4.58
- https://try.sipjeng.com/ (ADVERTISER)
  - 728 clicks, 21,337 impressions, 3.41% CTR, $3.85 CPC, $2,802.50 cost, 44.00 conversions
  - Approx CPA: $63.69
- https://shop.sipjeng.com/ (ADVERTISER)
  - 438 clicks, 17,308 impressions, 2.53% CTR, $3.30 CPC, $1,444.84 cost, 38.50 conversions
  - Approx CPA: $37.53
- https://shop.sipjeng.com/shop/ (ADVERTISER)
  - 872 clicks, 68,994 impressions, 1.26% CTR, $3.71 CPC, $3,231.88 cost, 29.33 conversions
  - Approx CPA: $110.19
- https://sipjeng.com/products/thc-infused-jeng-and-tonic (AUTOMATIC)
  - 23 clicks, 450 impressions, 5.11% CTR, $5.05 CPC, $116.05 cost, 6.00 conversions
  - Approx CPA: $19.34
- https://sipjeng.com/products/non-alcoholic-thc-drinks? no exact product; correct row:
  - https://sipjeng.com/collections/non-alcoholic-thc-drinks
  - 18 clicks, 507 impressions, 3.55% CTR, $3.26 CPC, $58.71 cost, 4.00 conversions
  - Approx CPA: $14.68
- https://shop.sipjeng.com/product/collection-sampler-6-pack/ (ADVERTISER)
  - 20 clicks, 13,454 impressions, 0.15% CTR, $4.98 CPC, $99.65 cost, 4.00 conversions
  - Approx CPA: $24.91
- https://sipjeng.com/pages/about (AUTOMATIC)
  - 6 clicks, 19 impressions, 31.58% CTR, $5.53 CPC, $33.15 cost, 2.00 conversions
  - Approx CPA: $16.58
- https://sipjeng.com/ (AUTOMATIC)
  - 30 clicks, 194 impressions, 15.46% CTR, $1.68 CPC, $50.45 cost, 2.00 conversions
  - Approx CPA: $25.23
- https://sipjeng.com/blogs/blog/alcohol-alternative-drinks-2025 (AUTOMATIC)
  - 225 clicks, 2,104 impressions, 10.69% CTR, $1.88 CPC, $423.97 cost, 10.00 conversions
  - Approx CPA: $42.40

Landing pages with spend and 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/blogs/news/meet-jeng-the-alcohol-free-hemp-infused-beverage-for-cocktail-lovers (AUTOMATIC): 6 clicks, $37.63, 0 conv
- https://sipjeng.com/collections/functional-beverages (AUTOMATIC): 6 clicks, $35.39, 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/products/thc-infused-rhubarb-cucumber-spritz (AUTOMATIC): 1 click, $14.21, 0 conv
- https://sipjeng.com/blogs/blog/whats-the-buzz-about-cbd-infused-cocktails-an-in-depth-look-at-this-popular-trend (AUTOMATIC): 4 clicks, $14.07, 0 conv
- https://sipjeng.com/collections/low-sugar-cocktails (AUTOMATIC): 2 clicks, $15.34, 0 conv

Channel/campaign facts
- Google Search total:
  - 214,867 impressions, 1,877 clicks, 126.33 conversions, $10,027.42 conv. value, $7,309.65 cost
  - Approx CPA: $57.86
  - ROAS-ish using conv. value/cost: 1.37
- Google Display Network total:
  - 183,361 impressions, 1,702 clicks, 0 conversions, $492.40 cost
- YouTube total:
  - 157,826 impressions, 389 clicks, 0 conversions, $540.58 cost
- Search partners total:
  - 222 impressions, 5 clicks, 0 conversions, $3.31 cost

Active campaign visible
- Cube | New Pmax is ACTIVE across multiple channels
  - Google Search: 1,618 impressions, 63 clicks, 1.00 conversion, $23.09 conv. value, $198.46 cost
  - Search partners: 59 impressions, 2 clicks, 0 conv, $2.26 cost
  - YouTube: 4,107 impressions, 5 clicks, 0 conv, $36.98 cost
  - Google Display Network: 24,629 impressions, 429 clicks, 0 conv, $154.22 cost
  - Total visible active spend for this campaign across listed channels ≈ $391.92 with 1 conversion
  - Approx CPA ≈ $391.92

Paused campaigns with strong historical purchase volume
- Cube_Catch All_OCT (PAUSED) on Google Search:
  - 135,613 impressions, 1,418 clicks, 94.88 conversions, conv. value $9,153.13, cost $5,334.65
  - Approx CPA: $56.22
- Cube_30Dec_CatchAll_Pmax (PAUSED) on Google Search:
  - 72,373 impressions, 300 clicks, 28.44 conversions, conv. value $715.66, cost $1,251.03
  - Results field says Purchase: 7.01 plus other events, so “Conversions” likely includes micro-conversions, not just purchases
- Cube | PMax - Website Traffic (PAUSED) 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

Search terms facts from visible rows
High-performing / suspicious branded
- Search term “sipjeng” in Cube_Search_W, Ad group 1
  - Phrase match (close variant), 2 clicks, 2 impressions, 100% CTR, $0.17 avg CPC, $0.34 cost
  - Conv. rate 700.00%, 14.00 conversions, cost/conv $0.02
  - This is mathematically possible only with fractional conversion counting or multiple conversions per click; it strongly suggests the conversion column is not strictly purchase-only or is using enhanced/aggregated conversion counting
- Search term “mocktails” in Cube_Search_W
  - Broad match, 1 click, 36 impressions, $0.85 cost, 1.00 conversion, 100% conv. rate, $0.85 CPA
  - Very small sample
Non-brand waste examples from visible rows
- “tost discount code” 1 click, $7.43, 0 conv
- “cbd drinks 50 mg” 1 click, $10.35, 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
Visible competitor/irrelevant queries in search term sample
- Competitor/other brands: shimmerwood beverages, gaba spirits, melati drinks, wunder drink, cycling frog drinks, sentia spirits, little saints negroni, seth rogen seltzer, drinkbrez llc, tost discount code, athletic brewing seltzer, where to buy de soi, join jules, sixsip drink, grove drinks, etc.
- Informational recipe/irrelevant terms: valentines cocktail recipes, greyhound drink, freezer old fashioned, monte carlo cocktail, skeleton key drink, peaches and cream drink, alcoholic horchata, hunch punch, drink recipes non alcoholic, making a mocktail, etc.

OBSERVED METRICS
Primary CPA calculations from provided data
- Account total CPA from landing page total: $8,984.10 / 351.49 = approx $25.56
- Account total CPA from account total: $9,928.11 / 351.49 = approx $28.25
- Search total CPA from landing page report: $9,536.20 / 350.49 = approx $27.21
- Search total CPA from channel report: $7,309.65 / 126.33 = approx $57.86
- PMax total CPA from landing page report: $391.91 / 1.00 = $391.91

Best landing pages by CPA among rows with meaningful conversion volume
- /collections/best-sellers: approx $4.58 CPA on 207.65 conv
- /collections/non-alcoholic-thc-drinks: approx $14.68 CPA on 4 conv
- /pages/about: approx $16.58 CPA on 2 conv
- /products/thc-infused-jeng-and-tonic: approx $19.34 CPA on 6 conv
- /shop product/collection-sampler-6-pack/ advertiser: approx $24.91 CPA on 4 conv
- homepage automatic: approx $25.23 CPA on 2 conv
Weak landing pages by CPA with volume
- /shop.sipjeng.com/shop/ advertiser: approx $110.19 CPA on 29.33 conv
- /try.sipjeng.com/ advertiser: approx $63.69 CPA on 44 conv
- /shop.sipjeng.com/ advertiser: approx $37.53 CPA on 38.5 conv
- blog /alcohol-alternative-drinks-2025 automatic: approx $42.40 CPA on 10 conv

GAPS/UNCERTAINTY
- The client said “3 reports”; we have 3 CSVs, but no screenshots or campaign settings export.
- No actual purchase-only report exists in the landing page report; “Conversions” may include mixed conversion actions.
- Strong contradiction:
  - Landing page report shows 351.49 conversions total and Search 350.49
  - Channel report shows Google Search 126.33 conversions total
  - Channel report “Results” clearly includes Page View, Add to cart, Begin checkout, Purchase mixed together
  - Therefore conversions are being counted differently across reports, and purchase-only CPA cannot be cleanly confirmed from all files
- Search terms report is truncated; cannot assess full query waste or top converting terms comprehensively
- No campaign budget, bidding strategy, geo, device, audience, asset group, ad copy, or audience signal data
- No product price / margin / target CPA benchmark
- No split between branded vs non-branded performance totals
- No evidence of impression share, search lost IS, device performance, audience performance, time-of-day, location, or ad strength
- Some landing pages marked AUTOMATIC vs ADVERTISER vs UNKNOWN; unclear whether these are final URLs from PMax auto-expansion, dynamic search, or manual LP choices
- Some rows have fractional conversions (e.g., 29.33, 38.50, 207.65), indicating data-driven attribution or mixed actions rather than raw purchase counts
- The “sipjeng” search term showing 14 conversions from 2 clicks indicates conversion inflation or non-purchase actions; must not interpret literally as purchases

RECOMMENDED ANALYSIS ANGLE
- Frame recommendations as “specific optimizations based on available evidence, but constrained by inconsistent conversion definitions.”
- Prioritize lowest CPA actions with highest confidence:
  1) Shift traffic/focus toward the best converting landing pages:
     - Strongest evidence: /collections/best-sellers
     - Secondary tests: /collections/non-alcoholic-thc-drinks, /products/thc-infused-jeng-and-tonic
  2) Reduce or exclude poor/non-commercial landing pages:
     - /shop.sipjeng.com/shop/, /try.sipjeng.com/ if purchase CPA remains high
     - informational/blog/about/contact/store pages unless explicitly supporting a lower-funnel strategy
  3) Tighten search query control:
     - Add negatives for competitor brands and recipe/informational terms visible in search term report
     - Split brand vs non-brand budgets/bidding if not already done
  4) De-prioritize current active PMax / display-heavy spend:
     - Active Cube | New Pmax appears to spend heavily on Display/YouTube with almost no conversions
     - Recommend limiting URL expansion / excluding weak URLs / separating Search from PMax intent where possible
  5) Use purchase-only as primary conversion and demote page views/add-to-cart/begin checkout to secondary for bidding/reporting
     - This is the biggest structural optimization implied by report contradictions
- Best operator-style answer from Agent 2 should likely include:
  - Immediate budget reallocations
  - URL inclusion/exclusion guidance
  - Negative keyword buckets from visible terms
  - Campaign-level recommendation to pause/limit active PMax if purchase-only CPA is the objective
  - Note that final confidence is medium/low because conversion definitions are inconsistent across reports

Agent 2 — Client output

Executive diagnosis

Your stated goal is lowest CPA for purchase conversions. Based on the three exports, the account is not cleanly measured for purchase-only optimization right now, so I would not trust the headline conversion totals at face value across all reports.

The biggest issue is report inconsistency:

  • Landing page report shows 351.49 conversions on $8,984.10 spend, which implies about $25.56 CPA.
  • The same date range in the channel report shows Google Search with 126.33 conversions on $7,309.65 spend, which implies about $57.86 CPA.
  • The channel report also explicitly mixes reported actions in Results, including Page View, Add to cart, Begin checkout, and Purchase.

So the safe read is:

  • High confidence Search is where almost all reported conversion volume is coming from.
  • High confidence The currently active PMax campaign is weak for a purchase-CPA objective.
  • High confidence Several landing pages and visible search terms are wasting spend.
  • Medium confidence /collections/best-sellers looks like the strongest landing-page destination in the data.
  • Low confidence Any “winner” based on the search term conversion column alone, because visible rows include anomalies like 14.00 conversions from 2 clicks on “sipjeng”.

Biggest waste to cut

High-confidence / no-regret cuts

  • Reduce or pause the active PMax campaign unless it is being held for a separate objective.
    • Cube | New Pmax shows visible spend of about $391.92 across channels for 1.00 conversion, which implies about $391.92 CPA.
    • Within that, Google Display Network spent $154.22 for 0 conversions and YouTube spent $36.98 for 0 conversions.
    • If purchase CPA is the goal, that spend is not competitive with Search.
  • Stop sending paid traffic to weak or informational landing pages where the report shows spend with no reported conversions.
    • /products/thc-infused-paloma: $61.39, 0 conversions
    • /collections/cbd-infused-drinks: $77.91, 0 conversions
    • /blogs/news/meet-jeng-the-alcohol-free-hemp-infused-beverage-for-cocktail-lovers: $37.63, 0 conversions
    • /collections/functional-beverages: $35.39, 0 conversions
    • /shop.sipjeng.com/about/: $24.38, 0 conversions
    • /shop.sipjeng.com/contact/: $20.05, 0 conversions
    • /shop.sipjeng.com/product/summer-starter-pack/: $16.61, 0 conversions
    • /blogs/blog/whats-the-buzz-about-cbd-infused-cocktails-an-in-depth-look-at-this-popular-trend: $14.07, 0 conversions
    • /collections/low-sugar-cocktails: $15.34, 0 conversions
  • Cut obvious query waste in Search.
    • The visible search term sample shows competitor-brand traffic and recipe/informational traffic that is not purchase-proven.
    • Visible zero-conversion spend examples include “tost discount code” at $7.43, “cbd drinks 50 mg” at $10.35, “nootropic drinks to replace alcohol” at $9.03, “relaxing drinks instead of alcohol” at $3.75, and “hemp infused seltzer” at $3.46.

Medium-confidence directional waste cuts

  • De-prioritize /shop.sipjeng.com/shop/ as a primary paid destination.
    • The advertiser-selected row shows $3,231.88 spend and 29.33 conversions, implying about $110.19 CPA.
    • That is far weaker than /collections/best-sellers at roughly $4.58 CPA in the same report.
    • Because conversions are mixed/fractional, I would not call this purchase CPA proof, but it is weak enough to reduce now.
  • Reduce traffic to /try.sipjeng.com/ until purchase-only reporting confirms it deserves budget.
    • $2,802.50 spend / 44.00 conversions$63.69 CPA.
    • That is much worse than the strongest destination pages in the report.
  • Reduce traffic to the root /shop.sipjeng.com/ route relative to stronger collection/product pages.
    • $1,444.84 spend / 38.50 conversions$37.53 CPA.
    • It is not terrible relative to some other rows, but it is still materially weaker than the best-sellers collection page.

Scale opportunities

Medium-confidence directional tests

  • Push more Search traffic to /collections/best-sellers.
    • This is the clearest landing-page winner in the export: 791 clicks, $951.15 spend, 207.65 conversions.
    • Implied CPA is about $4.58.
    • Even allowing for mixed conversion counting, this page is dramatically stronger than /try.sipjeng.com/, /shop.sipjeng.com/, and /shop.sipjeng.com/shop/.
    • If you are using this page in Search ads already, make it the default destination for non-brand commercial intent tests.
  • Test product/category pages that show positive signal, but do not scale aggressively yet.
    • /products/thc-infused-jeng-and-tonic: $116.05 / 6.00 conversions$19.34 CPA
    • /collections/non-alcoholic-thc-drinks: $58.71 / 4.00 conversions$14.68 CPA
    • /shop.sipjeng.com/product/collection-sampler-6-pack/: $99.65 / 4.00 conversions$24.91 CPA
    • These are encouraging, but sample sizes are much smaller than the best-sellers page.
  • Keep Search as the primary scaling channel.
    • In the landing-page report, Search shows 350.49 conversions on $9,536.20, while Performance Max shows 1.00 conversion on $391.91.
    • Even though the reports conflict, both point in the same direction: Search should get incremental dollars first.

Low-confidence / measurement-gated ideas

  • Brand search may be very efficient, but the visible query-level conversion data is inflated.
    • The visible row for “sipjeng” shows 2 clicks and 14.00 conversions.
    • That is not usable as purchase proof.
    • Still, brand traffic is usually worth isolating tightly, so this is a structure check, not a scale recommendation based on that row.
  • The term “mocktails” is a positive signal, not proof.
    • Visible row: 1 click, $0.85, 1.00 conversion.
    • That is too little data to scale from, but it is good enough to keep in a controlled exact/phrase test set.

Campaign-level changes

High-confidence / no-regret changes

  • Reallocate budget away from active PMax and into Search.
    • Current visible active PMax arithmetic is poor for a purchase-CPA target: about $391.92 spend for 1 conversion.
    • Search totals are materially better in both reports, even though exact CPA differs by report.
  • If the active PMax campaign remains live, restrict weak traffic paths.
    • The landing-page report shows many AUTOMATIC destinations on blog, about, contact, and weak collection pages.
    • If URL expansion or automatic landing-page selection is enabled, restrict it to commercial pages only and exclude weak info pages.
    • This is a conditional settings check because the exports do not explicitly show the setting.
  • Separate brand and non-brand Search budgets if not already separated.
    • The search term sample includes clear brand intent like “sipjeng” and generic/competitor/informational intent mixed elsewhere.
    • Lowest-CPA operation requires brand protection and a separate non-brand control system.

Medium-confidence directional changes

  • Use paused historical Search campaigns as rebuild references, not direct proof.
    • Cube_Catch All_OCT on Google Search shows 94.88 purchases in the Results field and $5,334.65 spend, which implies roughly $56.22 per reported conversion using the Conversions column.
    • Cube_30Dec_CatchAll_Pmax on Google Search shows 28.44 conversions on $1,251.03, but Results shows only Purchase: 7.01 plus other events. That means the conversion column is mixed and should not be treated as purchase-only.
    • Operationally, the takeaway is to rebuild around Search intent, not to trust those mixed CPA numbers blindly.
  • Turn off or sharply limit Display and YouTube participation for purchase-driven spend.
    • Channel totals show Google Display Network: $492.40, 0 conversions.
    • YouTube: $540.58, 0 conversions.
    • Those channels may still produce upper-funnel events, but that is not your stated goal.

Ad group/keyword/search-term changes

High-confidence / no-regret query control

  • Add competitor-brand negatives in non-brand campaigns.
    • Visible examples include shimmerwood beverages, gaba spirits, melati drinks, wunder drink, cycling frog drinks, sentia spirits.
    • Also visible in the broader sample from the handoff are terms like little saints negroni, where to buy de soi, and athletic brewing seltzer.
    • Do this at the campaign level for non-brand unless you intentionally run conquesting.
  • Add informational/recipe negatives in purchase-focused campaigns.
    • Visible examples include valentines cocktail recipes, greyhound drink, freezer old fashioned, monte carlo cocktail.
    • The handoff also notes visible recipe-style queries such as drink recipes non alcoholic and making a mocktail.
    • These should not share budget with hard purchase-intent campaigns.
  • Add exclusion patterns for weak discount-code and low-fit ingredient/specification traffic.
    • Visible wasted examples include “tost discount code” and “cbd drinks 50 mg”.
    • I would review and exclude the broader pattern where it is clearly competitor coupon intent or low-fit spec hunting, not just those exact rows.

Medium-confidence directional keyword actions

  • Move proven or promising generic terms into tighter match types and dedicated ad groups.
    • “mocktails” has a positive signal, but only one click.
    • Keep it, but isolate it in exact and phrase so you can see real purchase behavior without broad spillover.
  • Reduce broad-match exposure in weak generic themes until search-term quality improves.
    • The visible term mix suggests broad matching is pulling in competitors and recipe traffic.
    • Without a full untruncated search term file, I would tighten match types before adding more spend.
  • Keep brand isolated from non-brand.
    • The visible term “sipjeng” belongs in a dedicated brand campaign/ad group only.
    • Do not let brand performance mask non-brand CPA.

Low-confidence / measurement-gated keyword ideas

  • Do not scale based on query-level conversion spikes until purchase-only tracking is cleaned up.
    • The “sipjeng” row with 700.00% conv. rate and 14.00 conversions from 2 clicks is a hard red flag.
    • Use those rows for directional discovery only, not bidding decisions.

Landing-page changes

High-confidence / no-regret landing-page actions

  • Make /collections/best-sellers the primary paid landing page for broad commercial search tests.
  • Pull paid traffic off about, contact, blog/news, and weak informational collection pages unless they have a dedicated upper-funnel purpose outside your CPA target.
  • Remove low-value automatic routing to non-commercial pages if platform automation is choosing them.

Medium-confidence directional landing-page actions

  • Test a tighter landing-page hierarchy:
    1. Primary: /collections/best-sellers
    2. Secondary tests: /collections/non-alcoholic-thc-drinks, /products/thc-infused-jeng-and-tonic, /shop.sipjeng.com/product/collection-sampler-6-pack/
    3. Reduce: /shop.sipjeng.com/shop/, /try.sipjeng.com/, /shop.sipjeng.com/
  • Treat blog landing pages as capped tests only.
    • /blogs/blog/alcohol-alternative-drinks-2025 shows $423.97 / 10.00 conversions$42.40 CPA.
    • That is not zero, but it is far behind the best commercial page.

Measurement caveats

This is the gating issue for purchase-CPA optimization.

  • Reports conflict materially.
    • Landing page report totals and channel report totals do not agree on conversion volume or implied CPA.
  • Conversions are fractional in multiple places.
    • Examples include 207.65, 38.50, 29.33, 28.44, 7.01.
    • That is consistent with attribution-weighted or mixed-action reporting, not simple counted purchases.
  • Some reports clearly mix purchases with micro-conversions.
    • The channel report’s Results fields show Page View, Add to cart, Begin checkout, and Purchase together.
  • The search terms file is truncated.
    • So I can identify query-waste patterns, but I cannot claim a complete waste audit from the visible rows.

Bottom line: I can recommend strong waste cuts now, but any aggressive “scale this winner” move should be validated against a purchase-only conversion column or purchase-only campaign report first.

24-hour action list

  1. Campaign Cube | New Pmax: reduce budget sharply or pause it if the objective is lowest purchase CPA.
  2. Campaign Cube | New Pmax: if it stays live, verify whether automatic landing-page expansion is enabled; if yes, exclude weak info/blog/about/contact URLs and keep only commercial collection/product URLs.
  3. Search campaigns: add campaign-level negatives for competitor-brand queries, using visible examples like shimmerwood beverages, gaba spirits, melati drinks, wunder drink, and cycling frog drinks.
  4. Search campaigns: add campaign-level negatives for recipe/informational intent, using visible examples like valentines cocktail recipes, greyhound drink, freezer old fashioned, and monte carlo cocktail.
  5. Search campaigns: add or test exclusion patterns for coupon/discount and weak-spec query buckets, including visible examples tost discount code and cbd drinks 50 mg.
  6. Ads/keywords currently pointing to /shop.sipjeng.com/shop/: switch destination to /collections/best-sellers for the next validation cycle.
  7. Ads/keywords currently pointing to /try.sipjeng.com/: reduce traffic or reroute to /collections/best-sellers until purchase-only reporting proves the page deserves spend.
  8. Ads/keywords currently pointing to /shop.sipjeng.com/: reduce traffic share and test more direct collection/product destinations.
  9. Paid URL controls: exclude or stop using /shop.sipjeng.com/about/, /shop.sipjeng.com/contact/, /collections/cbd-infused-drinks, /collections/functional-beverages, and the weak blog/news URLs with spend and zero conversions.
  10. Brand structure: verify that SipJeng brand terms are in a dedicated brand campaign only; if mixed into non-brand, separate them immediately.
  11. Conversion settings: make purchase the primary optimization goal for bidding/reporting, and demote micro-actions from primary optimization if they are currently included. This is a settings task inferred from the conflicting exports, and it is the main measurement fix needed.

7-day validation plan

  1. Compare purchase-only CPA by destination page after rerouting traffic toward /collections/best-sellers and away from /shop.sipjeng.com/shop/, /try.sipjeng.com/, and weak info URLs.
  2. Review fresh search term data daily for:
    • new competitor-brand leakage
    • recipe/information leakage
    • coupon-code leakage
    • broad-match drift into weak generic concepts
  3. Check whether pausing/reducing PMax lowers total spend without hurting purchase volume. If purchases hold while spend falls, keep it constrained.
  4. Validate brand vs non-brand separately. Do not let brand demand hide non-brand inefficiency.
  5. Promote only pages/queries that hold up on purchase-only reporting. Positive reported-conversion rows can stay in test status until purchase evidence confirms them.
  6. Audit conversion columns once more. If a report still shows impossible patterns like conversions greater than clicks, do not use that column for bidding decisions.

Goal summary captured

You asked for specific Google Ads optimizations using only the three attached reports, with the goal of lowest CPA for purchase conversions for SipJeng Google Ads.

Based on the evidence, the best immediate path is:

  • cut active PMax/display/video waste,
  • tighten search query control with negatives,
  • shift Search traffic toward /collections/best-sellers and away from weak/info pages, and
  • clean up measurement so purchase-only CPA is actually what bidding is optimizing toward.

That gives you the highest-confidence path to lower CPA from the data you provided.

Agent 3 — QA report

VERDICT
approve_with_warnings

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

WHAT WORKED
- Strong alignment to the ask: it gives specific Google Ads optimizations, stays mostly within the three provided reports, and keeps lowest CPA / purchase objective central.
- Correctly identifies the core measurement problem: conversions are inconsistent across reports and likely include mixed actions. That is the most important caveat in the handoff, and Agent 2 handled it well.
- Arithmetic is mostly right:
  - Landing page total CPA: $8,984.10 / 351.49 ≈ $25.56
  - Search channel CPA: $7,309.65 / 126.33 ≈ $57.86
  - Active PMax visible spend ≈ $391.92 for 1 conversion
  - /collections/best-sellers CPA ≈ $4.58
  - /shop.sipjeng.com/shop/ CPA ≈ $110.19
  - /try.sipjeng.com/ CPA ≈ $63.69
- Recommendations are generally traceable to evidence:
  - Reduce active PMax/display/video waste
  - Tighten negatives using visible competitor/informational query examples
  - Shift toward stronger landing pages and away from weak/info pages
  - Separate brand/non-brand
  - Fix conversion settings so purchase is primary
- Good restraint in several places: it repeatedly notes low confidence where sample sizes are tiny or conversion data is inflated/truncated.

FAILURES
- Agent 2 overstates one campaign fact: it says “Cube_Catch All_OCT on Google Search shows 94.88 purchases in the Results field.” That is not supported by the handoff. The handoff says 94.88 conversions and separately warns Results can mix actions. Calling those “purchases” is an unsupported upgrade of the evidence.
- It omits a key contradiction in the underlying reports: landing page network totals and channel report totals are materially inconsistent not just in CPA but even in click/impression levels for Search. The answer mentions conversion inconsistency, but not the broader reconciliation problem, which weakens confidence in channel-level optimization advice.
- Some recommendations are too absolute given the evidence:
  - “Pause active PMax” is directionally reasonable, but the visible PMax view is one active campaign with only ~$392 spend and 1 conversion. That is poor, but still a limited sample. “Reduce sharply / constrain” is supported; “pause” is somewhat stronger than the evidence justifies.
  - “Turn off or sharply limit Display and YouTube participation” is plausible from zero-conversion channel totals, but those totals come from the mixed-action report and may not be purchase-only. It should have been framed more explicitly as objective-mismatch rather than hard inefficiency proof.
- The answer recommends rerouting traffic from specific URLs to /collections/best-sellers, but it does not prove that those same campaigns/queries are comparable in intent. LP-level correlation is not enough to guarantee causation. That recommendation is usable, but it should be framed as a test, not as a presumed fix.
- It misses prioritization by impact more than it should. There is a 24-hour list, but no estimate of biggest expected savings:
  - Active PMax visible spend is only about $392
  - Weak LPs like /shop.sipjeng.com/shop/ and /try.sipjeng.com/ represent much larger spend pools
  Agent 2 should have highlighted that LP rerouting and search-term tightening may matter more than just cutting active PMax.

MISSED EVIDENCE
- The answer did not use the account-level discrepancy fully:
  - Landing page report total spend/clicks differ from account total spend/clicks
  - Search network totals in landing page report differ sharply from channel report search totals
  This matters because it limits confidence in any report-to-report comparisons.
- It did not call out that Display + YouTube spend totals ($492.40 + $540.58) exceed the visible active PMax spend, implying those channel totals include more than just the active campaign. That nuance matters when recommending channel shutdowns.
- It did not mention that some “strong” LP rows are very small samples:
  - /pages/about = 2 conv on 6 clicks
  - homepage = 2 conv on 30 clicks
  It correctly avoids scaling those, but should have explicitly dismissed them as non-actionable low-volume noise.
- It did not leverage one useful caution: /collections/best-sellers has outstanding CPA but low CTR (1.44%) relative to some other pages, which could indicate different serving context, campaign mix, or automation behavior. Not a blocker, but relevant before treating it as a universal destination winner.

HALLUCINATION CHECK
- Clear failure: “94.88 purchases in the Results field” for Cube_Catch All_OCT is not evidenced in the handoff. The provided fact is 94.88 conversions, not purchases, and the report structure elsewhere indicates mixed actions.
- Mostly clean otherwise. The negative keyword examples and LP examples are all traceable to the handoff.
- Conditional recommendations like URL expansion checks are properly framed as inferred settings checks, not claimed facts.

REVISION NEEDED
- Replace “94.88 purchases” with “94.88 conversions” and keep the mixed-action caveat intact.
- Tighten confidence language on PMax/channel recommendations:
  - Prefer “reduce sharply / constrain / deprioritize” over definitive “pause/turn off” unless explicitly tied to the CPA objective and limited sample.
- Add one paragraph on report reconciliation limits:
  - Search totals conflict across reports on more than conversions
  - therefore cross-report CPA comparisons are directional, not exact
- Reprioritize expected impact:
  1) fix purchase-primary conversion settings
  2) reroute from high-spend weak LPs (/shop.sipjeng.com/shop/, /try.sipjeng.com/, /shop.sipjeng.com/)
  3) add negatives / tighten non-brand search terms
  4) then constrain active PMax

FINAL QA SUMMARY
This is a solid operator-style answer that mostly matches the client ask and stays grounded in the provided reports. The main strengths are the measurement caveat, correct arithmetic, specific LP/query recommendations, and practical action list. The main weakness is one unsupported claim turning “conversions” into “purchases,” plus a few recommendations that are slightly more definitive than the evidence warrants. Good enough to send with warnings, but not clean enough for a top score.

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