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Run 2026-03-26-033927-ff9228f7Mode llmStatus unknownQA completed37,695 est. tokens$0.2243 est. cost

Saved: 2026-03-26T03:39:27.746126+00:00
Model: gpt-5.4
Estimated input/output tokens: 27,293 / 10,402

No status detail.

Processed files

Agent 1 — Intake handoff

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

PROVIDED EVIDENCE
1) Landing page report CSV
- Date range: September 25, 2025 – March 23, 2026
- Fields include: Landing page, Selected by, Clicks, Impr., CTR, Avg. CPC, Cost, Conversions
- No screenshots were provided; only CSV text.

2) Channel performance / search terms insight CSV
- Date range: September 25, 2025 – March 23, 2026
- Fields include: Channels, Status, Campaigns, Impr., Clicks, Interactions, Conversions, Conv. value, Cost, Results, Results value
- Despite filename “Channel_Performance,” the report header says “Search terms insight report.”

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

EXTRACTED FACTS
Account / totals
- Landing page 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
- By network from 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
- Channel performance totals:
  - Total campaigns: 556,348 impressions, 3,973 clicks, 69,895 interactions, 126.33 conversions, conversion value $10,027.42, cost $8,347.53
  - Google Search total: 214,867 impressions, 1,877 clicks, 126.33 conversions, $10,027.42 conv. value, $7,309.65 cost
  - 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
- Major contradiction:
  - Landing page report shows 351.49 conversions total, while channel performance report shows only 126.33 conversions total.
  - Likely due to different conversion actions / attribution / inclusion of micro-conversions in one report, but not confirmed from evidence.

High-performing landing pages by purchase-oriented efficiency
- https://sipjeng.com/collections/best-sellers (ADVERTISER)
  - 791 clicks, 55,088 impressions, 1.44% CTR, $1.20 CPC, $951.15 cost, 207.65 conversions
  - Very large conversion volume at relatively low spend.
- https://shop.sipjeng.com/ (ADVERTISER)
  - 438 clicks, 17,308 impressions, 2.53% CTR, $3.30 CPC, $1,444.84 cost, 38.50 conversions
- https://shop.sipjeng.com/shop/ (ADVERTISER)
  - 872 clicks, 68,994 impressions, 1.26% CTR, $3.71 CPC, $3,231.88 cost, 29.33 conversions
- https://try.sipjeng.com/ (ADVERTISER)
  - 728 clicks, 21,337 impressions, 3.41% CTR, $3.85 CPC, $2,802.50 cost, 44.00 conversions
- 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
- https://sipjeng.com/alcohol-alternative-drinks-2025 blog URL
  - Exact URL: /blogs/blog/alcohol-alternative-drinks-2025
  - 225 clicks, 2,104 impressions, 10.69% CTR, $1.88 CPC, $423.97 cost, 10.00 conversions
- https://sipjeng.com/collections/non-alcoholic-thc-drinks
  - 18 clicks, 507 impressions, 3.55% CTR, $3.26 CPC, $58.71 cost, 4.00 conversions
- 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
- https://sipjeng.com/pages/about
  - 6 clicks, 19 impressions, 31.58% CTR, $5.53 CPC, $33.15 cost, 2.00 conversions
- https://sipjeng.com/ (AUTOMATIC)
  - 30 clicks, 194 impressions, 15.46% CTR, $1.68 CPC, $50.45 cost, 2.00 conversions

Low- or zero-converting landing pages with spend
- /products/thc-infused-paloma (AUTOMATIC): 8 clicks, 226 impr., $61.39 cost, 0 conv.
- /collections/cbd-infused-drinks: 20 clicks, 1,193 impr., $77.91 cost, 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.
- /shop/ (AUTOMATIC version): 15 clicks, 3,382 impr., $28.33, 0 conv.
- /blogs/blog/drinks-to-replace-alcohol: 14 clicks, $14.07, 0 conv.
- /blogs/news/meet-jeng-the-alcohol-free-hemp-infused-beverage-for-cocktail-lovers: 6 clicks, $37.63, 0 conv.
- /blogs/blog/why-cbd-is-the-best-alcohol-alternative-for-a-hangover-free-good-time: 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.
- /shop.sipjeng.com/about/ (ADVERTISER): 3 clicks, $24.38, 0 conv.
- /product/summer-starter-pack/: 1 click, $16.61, 0 conv.
- /contact/ (ADVERTISER): 5 clicks, $20.05, 0 conv.
- Many informational / contact / stockist / FAQ pages received traffic without conversions.

Mixed / duplicate URL behavior
- Same or similar destination appears multiple times under different “Selected by” values (ADVERTISER, AUTOMATIC, UNKNOWN), e.g.:
  - shop.sipjeng.com/
  - product/collection-sampler-6-pack/
  - product/spicy-blood-orange/
  - best-sellers
  - homepage
- This suggests traffic is being distributed across multiple final URLs and/or automatically expanded destinations.

Campaign/channel facts
- Active campaign in channel report:
  - Cube | New Pmax
    - Google Search: 1,618 impr., 63 clicks, 1.00 conv., conv. value $23.09, cost $198.46
    - Google Display Network: 24,629 impr., 429 clicks, 0 conv., cost $154.22
    - YouTube: 4,107 impr., 5 clicks, 0 conv., cost $36.98
    - Search partners: 59 impr., 2 clicks, 0 conv., cost $2.26
- Paused campaigns with historical data:
  - Cube_Catch All_OCT (Google Search): 135,613 impr., 1,418 clicks, 94.88 conv., conv. value $9,153.13, cost $5,334.65
  - Cube_30Dec_CatchAll_Pmax (Google Search): 72,373 impr., 300 clicks, 28.44 conv., conv. value $715.66, cost $1,251.03
  - Cube | PMax - Website Traffic (Google Search): 1,554 impr., 11 clicks, 1.01 conv., conv. value $109.55, cost $30.16
  - Cube_Pmax (Google Search): 2,661 impr., 81 clicks, 1.00 conv., conv. value $26.00, cost $481.72
- Display and YouTube largely drive engagement/page views but no conversions in provided report.

Search-term facts from visible rows
- Brand leakage / competitor / irrelevant intent appears in search terms:
  - shimmerwood beverages
  - gaba spirits
  - melati drinks
  - wunder drink
  - cycling frog drinks
  - drinkbrez llc
  - little saints negroni
  - seth rogen seltzer
  - tost discount code
  - where to buy de soi
  - nowadays drink near me
  - athletic brewing seltzer
  - cann social tonics / cann tonics / cann social tonic packets
  - curious e
  - sixsip drink
  - etc.
- Informational/non-purchase-intent queries visible:
  - valentines cocktail recipes
  - greyhound drink
  - freezer old fashioned
  - ny sour cocktail
  - moscow mule specs
  - drinks that give the same effect as alcohol
  - drink recipes non alcoholic
  - making a mocktail
  - mocktails with club soda
- Search terms with recorded conversions in visible rows:
  - “mocktails” in Cube_Search_W: 1 click, 36 impr., CTR 2.78%, CPC $0.85, 1.00 conversion, 100% conv. rate, cost/conv $0.85
  - “sipjeng” in Cube_Search_W: 2 clicks, 2 impr., CTR 100%, CPC $0.17, 14.00 conversions, 700% conv. rate, cost/conv $0.02
- Search terms with spend and no conversions in visible rows:
  - “hemp infused seltzer”: 1 click, cost $3.46, 0 conv.
  - “tost discount code”: 1 click, cost $7.43, 0 conv.
  - “cbd drinks 50 mg”: 1 click, cost $10.35, 0 conv.
  - “nootropic drinks to replace alcohol”: 4 clicks, cost $9.03, 0 conv.
  - “relaxing drinks instead of alcohol”: 1 click, cost $3.75, 0 conv.

OBSERVED METRICS
Derived CPAs from landing page report
- Total account CPA ≈ $9,928.11 / 351.49 = $28.25
- Search CPA ≈ $9,536.20 / 350.49 = $27.21
- PMax CPA ≈ $391.91 / 1.00 = $391.91

Key landing-page CPAs
- /collections/best-sellers (ADVERTISER): $951.15 / 207.65 ≈ $4.58 CPA
- /shop.sipjeng.com/ (ADVERTISER): $1,444.84 / 38.50 ≈ $37.53 CPA
- /shop.sipjeng.com/shop/ (ADVERTISER): $3,231.88 / 29.33 ≈ $110.18 CPA
- /try.sipjeng.com/: $2,802.50 / 44.00 ≈ $63.69 CPA
- /products/thc-infused-jeng-and-tonic: $116.05 / 6.00 ≈ $19.34 CPA
- /blogs/blog/alcohol-alternative-drinks-2025: $423.97 / 10.00 ≈ $42.40 CPA
- /collections/non-alcoholic-thc-drinks: $58.71 / 4.00 ≈ $14.68 CPA
- /product/collection-sampler-6-pack/ (ADVERTISER): $99.65 / 4.00 ≈ $24.91 CPA
- /pages/about: $33.15 / 2.00 ≈ $16.58 CPA
- Homepage / (AUTOMATIC): $50.45 / 2.00 ≈ $25.23 CPA
- /collections/hemp-infused-drinks: $62.02 / 1.00 = $62.02 CPA
- /collections/best-sellers (AUTOMATIC): $3.20 / 1.00 = $3.20 CPA, but tiny volume

Key campaign/channel CPAs from channel performance
- Google Search total CPA ≈ $7,309.65 / 126.33 = $57.86
- Total campaigns CPA ≈ $8,347.53 / 126.33 = $66.08
- Cube_Catch All_OCT Google Search CPA ≈ $5,334.65 / 94.88 = $56.22
- Cube_30Dec_CatchAll_Pmax Google Search CPA ≈ $1,251.03 / 28.44 = $43.99
- Cube | PMax - Website Traffic Google Search CPA ≈ $30.16 / 1.01 = $29.86
- Cube | New Pmax Google Search CPA ≈ $198.46 / 1.00 = $198.46
- Cube_Pmax Google Search CPA ≈ $481.72 / 1.00 = $481.72
- Display total: no conversions on $492.40 spend
- YouTube total: no conversions on $540.58 spend

GAPS/UNCERTAINTY
- No screenshots, no campaign settings, no ad copy, no audience data, no device/location/daypart breakdowns, no bidding strategy settings, no budget allocation table, no asset group data, no product feed data.
- Search terms report is truncated; cannot reliably summarize top spend/converting queries across full 180 days.
- Conversion definition is inconsistent across reports:
  - Landing page report likely uses a conversion column that may include fractional modeled conversions and possibly different action set than channel report.
  - Channel report includes Results like Page View, Add to cart, Begin checkout, Purchase and shows 126.33 conversions; landing page report shows 351.49 conversions. This must be acknowledged before making strong CPA claims.
- “Purchase conversion” is client goal, but not every report isolates purchases cleanly.
  - Channel report explicitly mentions Purchase in Results for some rows.
  - Landing page report only says “Conversions,” not necessarily purchases only.
- No current active Search campaign performance table was provided; most visible campaign-level historical winners are paused.
- Cannot determine whether landing page “best-sellers” performance is driven by branded search, nonbrand, remarketing-like demand, or PMax URL expansion.
- “Selected by” values ADVERTISER/AUTOMATIC/UNKNOWN imply auto URL expansion or dynamic final URLs, but campaign setting confirmation is missing.
- Website URL field in prompt was blank, though URLs in reports show sipjeng.com, shop.sipjeng.com, and try.sipjeng.com.

RECOMMENDED ANALYSIS ANGLE
Use a strict CPA-lowering operator lens focused on traffic concentration, waste removal, and intent tightening:

1) Lead with the data conflict
- State upfront that recommendations are directional because conversion totals conflict across reports.
- Anchor recommendations on relative efficiency patterns that are consistent: Search beats PMax; Display/YouTube show spend without purchases; several landing pages clearly outperform others.

2) Prioritize budget reallocation by destination efficiency
- Push more spend toward high-efficiency destinations:
  - /collections/best-sellers
  - /products/thc-infused-jeng-and-tonic
  - /collections/non-alcoholic-thc-drinks
  - potentially collection-sampler and high-performing homepage/about only if validated by purchase-only conversion action
- Reduce or remove spend to expensive low-converting destinations:
  - /shop.sipjeng.com/shop/
  - /try.sipjeng.com/ if purchase CPA target is stricter than ~$64
  - zero-conversion blog/product/contact/about/stockist pages with meaningful spend

3) Strong recommendation on channel cleanup
- Search is the only channel with meaningful conversions in channel report.
- Display + YouTube spent ~$1,032.98 combined with 0 conversions in provided report.
- Recommend excluding / limiting non-search surfaces inside PMax if possible, or splitting/search-prioritizing budget.

4) Search query hygiene / negatives
- Recommend adding negatives for competitor terms, coupon/discount terms for other brands, informational recipe terms, and irrelevant beverage competitors shown in search-term report.
- Tighten match types away from broad/AI Max where irrelevant intent is appearing.

5) Campaign resurrection / structure angle
- Historical Google Search campaigns “Cube_Catch All_OCT” and “Cube_30Dec_CatchAll_Pmax” materially outperformed current active “Cube | New Pmax” on CPA.
- Recommend auditing what changed: targeting, match type, landing pages, bidding, geo, conversion actions.
- Consider rebuilding exact/phrase search around proven intents and best-performing LPs rather than relying on current PMax mix.

6) Measurement cleanup as a prerequisite
- Recommend optimizing toward purchase-only primary conversion.
- Demote Page View / Add to cart / Begin checkout from optimization if they are currently primary in any campaign.
- Verify conversion action consistency across reports before scaling.

7) Tone/style for Agent 2
- Operator-style, prescriptive, prioritized list:
  - “Do now”
  - “Pause/cut”
  - “Scale”
  - “Investigate before scaling”
- Include concrete references to the URLs/campaigns and CPAs above, while explicitly noting data limitations.

Agent 2 — Client output

Executive diagnosis

Your stated goal is lowest CPA for purchase conversions. Based on the three reports, the clearest operating read is:

  • Search is the only channel with meaningful reported purchase activity.
  • Display and YouTube show spend with zero conversions in the channel report, so they are immediate waste-cut candidates.
  • Current/visible PMax performance is not supporting a low-CPA purchase goal. In the landing-page report, Performance Max shows $391.91 spend for 1.00 conversion, versus Search at $9,536.20 spend for 350.49 conversions.
  • Traffic is being sent to too many weak destinations, including info pages, contact/about pages, and weak product/collection pages.
  • The best destination in the landing-page report is /collections/best-sellers: $951.15 spend / 207.65 conversions ≈ $4.58 CPA. That is materially better than other high-volume destinations.
  • There is a serious measurement conflict: landing-page totals show 351.49 conversions, while the channel report shows only 126.33 conversions total and 104.90 purchases in Results. That means purchase-only conclusions are partly gated by reporting inconsistency.

Confidence: High that waste exists in non-search surfaces and weak destinations. Medium on which exact pages should be scaled hardest for purchase specifically, because the landing-page report uses a generic Conversions column rather than explicit Purchase-only reporting.

Biggest waste to cut

High-confidence / no-regret cuts

  • Cut non-search surfaces tied to PMax pressure. In the channel report:
    • Google Display Network: $492.40 spend, 0.00 conversions
    • YouTube: $540.58 spend, 0.00 conversions
    • Search partners: $3.31 spend, 0.00 conversions

    That is $1,036.29 combined with no reported conversions. For a lowest-CPA purchase goal, that spend should not be protected.

  • De-prioritize the active PMax build unless purchase-only validation improves. Cube | New Pmax shows on Google Search: $198.46 spend / 1.00 conversion ≈ $198.46 CPA. Its GDN and YouTube activity add another $191.20 with 0 conversions. That is not competitive with Search overall.
  • Stop sending paid traffic to obvious weak destinations. From the landing-page report, examples with spend and 0 conversions include:
    • /products/thc-infused-paloma — $61.39 / 0
    • /collections/cbd-infused-drinks — $77.91 / 0
    • /shop/ automatic version — $28.33 / 0
    • /contact/ — $20.05 / 0
    • /about/ on shop subdomain — $24.38 / 0
    • /collections/functional-beverages — $35.39 / 0
    • /collections/microdose-drinks — $19.74 / 0
    • /collections/low-sugar-cocktails — $15.34 / 0
  • Cut informational query buckets that are unlikely to buy. Visible search-term examples show recipe/how-to/research intent, including:
    • valentines cocktail recipes
    • greyhound drink
    • freezer old fashioned
    • ny sour cocktail
    • moscow mule specs
    • drink recipes non alcoholic
    • making a mocktail
    • mocktails with club soda

    Those are classic waste buckets for a purchase CPA objective unless you have a separate content prospecting strategy. The reports do not support keeping them in the core conversion program.

Medium-confidence directional cuts

  • Reduce pressure on /shop.sipjeng.com/shop/. It has meaningful volume but poor apparent efficiency: $3,231.88 / 29.33 ≈ $110.18 CPA. Even allowing for mixed conversion definitions, that is far worse than the better destinations in the same report.
  • Review /try.sipjeng.com/ as a CPA liability. $2,802.50 / 44.00 ≈ $63.69 CPA. That may still be usable depending on your real purchase target, but it is materially weaker than best-sellers and several product/collection pages.
  • Reduce competitor leakage. Visible search terms include other-brand and comparison shopping intent such as:
    • gaba spirits
    • melati drinks
    • wunder drink
    • cycling frog drinks
    • drinkbrez llc
    • little saints negroni
    • where to buy de soi
    • athletic brewing seltzer
    • cann social tonics / cann tonics

    Because the search-term export is truncated, I would not build a huge exact negative list off this sample alone. But I would immediately block the clearly unsupported competitor/coupon pattern if that traffic is still live.

Scale opportunities

High-confidence / no-regret concentration moves

  • Bias traffic toward /collections/best-sellers. This is the standout destination in the landing-page report:
    • 791 clicks
    • $951.15 spend
    • 207.65 conversions
    • Implied CPA ≈ $4.58

    That is too large a gap versus the rest of the account to ignore, even with measurement caveats. If you can force eligible search traffic to this route instead of weaker shop/info pages, that is the best immediate concentration move in the data.

  • Keep a product/collection path available for high-intent traffic. The following landing pages show positive efficiency signals:
    • /products/thc-infused-jeng-and-tonic — $116.05 / 6.00 ≈ $19.34 CPA
    • /collections/non-alcoholic-thc-drinks — $58.71 / 4.00 ≈ $14.68 CPA
    • /product/collection-sampler-6-pack/ advertiser-selected — $99.65 / 4.00 ≈ $24.91 CPA

    These are reasonable destinations for tighter nonbrand or product-intent traffic, subject to purchase-only validation.

Medium-confidence directional tests

  • Retest the blog route only as a controlled search test, not as a broad destination. /blogs/blog/alcohol-alternative-drinks-2025 shows $423.97 / 10.00 ≈ $42.40 CPA. That is not top-tier, but it is also not dead. If the query intent is “alcohol alternative” and the page pre-sells effectively, keep it only for tightly matched terms.
  • Homepage can stay for brand only. / automatic shows $50.45 / 2.00 ≈ $25.23 CPA, but tiny volume. That is a positive signal, not scale-ready proof.
  • About page is not scale-ready. /pages/about shows $33.15 / 2.00 ≈ $16.58 CPA, but only 6 clicks. Treat this as a small-sample anomaly unless purchase-only reporting confirms it repeatedly.

Purchase-measurement-gated opportunities

  • Historically strong Search campaigns are worth auditing and potentially rebuilding, not blindly re-enabling.
    • Cube_Catch All_OCT: $5,334.65 / 94.88 conversions ≈ $56.22 CPA
    • Cube_30Dec_CatchAll_Pmax on Google Search: $1,251.03 / 28.44 conversions ≈ $43.99 CPA

    But the channel report also shows Results mixes like Add to cart, Begin checkout, and Page View. So these are directional signs, not clean purchase proof. Rebuild around the observed search demand and LP winners rather than trusting historic blended conversion counts at face value.

Campaign-level changes

High-confidence / no-regret

  • Restrict budget to Search-first inventory. The channel report supports Search as the only meaningful conversion-producing channel. If a campaign cannot be prevented from spilling into Display/YouTube-style inventory, it should carry less budget under a purchase CPA objective.
  • Reduce or cap active PMax until measurement and destination control are cleaned up. The evidence does not support giving the active PMax more freedom.
  • If final URL expansion or automatic destination routing is enabled, restrict it. The landing-page report shows the same/similar routes appearing under ADVERTISER, AUTOMATIC, and UNKNOWN. That is a strong sign that traffic may be drifting to weaker pages. I cannot confirm the exact setting from the export, so treat this as a conditional check: if enabled, lock campaigns down to approved purchase pages.

Medium-confidence directional tests

  • Split campaign intent more tightly. Based on the visible query patterns, you likely need at minimum:
    • brand search
    • high-intent nonbrand category terms
    • competitor/comparison terms as either excluded or isolated with strict budget
    • content/research terms isolated or excluded from purchase campaigns
  • Rebuild nonbrand around proven destinations instead of generic catch-all routing. The current destination mix suggests catch-all traffic is landing too broadly.

Purchase-measurement-gated

  • Use purchase-only optimization before any scale decisions. The channel report explicitly lists Purchase within Results, but the landing-page report does not. Before increasing budgets materially, confirm the optimization target is purchase-only rather than blended reported conversions.

Ad group/keyword/search-term changes

High-confidence / no-regret

  • Add negatives for coupon/discount intent on other brands. Visible example: tost discount code spent $7.43 with 0 conversions.
  • Add negatives or exclusions for recipe/how-to query patterns. Supported by visible queries:
    • cocktail recipes
    • drink recipes
    • making a mocktail
    • specs

    Use bucket-level negatives where appropriate rather than overfitting to one row.

  • Add negatives or isolate competitor-brand traffic. The visible search terms show a clear competitor pattern. If you do not have a dedicated conquesting test with strict CPA guardrails, exclude those brand names from core campaigns.
  • Tighten match types on nonbrand. The report sample shows Broad match and AI Max surfacing off-target terms. For CPA control, move more budget into exact/phrase around validated commercial intent and leave broad expansion only where you can tolerate waste.

Medium-confidence directional tests

  • Isolate “alcohol alternative” style demand to its own ad group/campaign with a dedicated page. The blog route and category routes suggest this topic can convert, but it should not share budget with very broad recipe/research traffic.
  • Keep brand exact separate from all broader traffic. The visible row for sipjeng shows 2 clicks and 14.00 conversions, which is mathematically impossible as a standard click-based conversion outcome. That likely reflects attribution/modeling/reporting weirdness, but it still tells you brand behavior should be isolated because it can distort performance averages.
  • Treat the visible “mocktails” win as a small positive signal only. The row shows 1 click, 1.00 conversion, $0.85 cost/conv. Good sign, not enough evidence to scale broadly.

Purchase-measurement-gated

  • Promote only the query themes that repeatedly show purchase performance after cleanup. Right now the search-term report is truncated, so we cannot rank the true top-spend nonbrand winners across the full 180 days. Use the visible sample to cut waste first, then validate winners from a complete export.

Landing-page changes

High-confidence / no-regret

  • Force approved paid traffic to a short list of conversion pages. Based on current evidence, your shortlist should start with:
    • /collections/best-sellers
    • /collections/non-alcoholic-thc-drinks
    • /products/thc-infused-jeng-and-tonic
    • /product/collection-sampler-6-pack/
    • / for brand only, if needed
  • Exclude weak info/support pages from paid routing. That includes contact, about, store locator, stockists, FAQ-type routes, and weak editorial pages unless they are intentionally part of a separate upper-funnel test.
  • Consolidate duplicate destination variants. The same route appears as advertiser-selected, automatic, and unknown in places. Use one preferred destination per intent cluster so reporting and bid learning are not diluted across duplicates.

Medium-confidence directional tests

  • Use /collections/best-sellers as the default nonbrand destination. The gap is large enough that this should be your baseline page unless a query has a clearly better product/category match.
  • Reserve /try.sipjeng.com/ for only the query themes that justify its higher implied CPA. At ≈ $63.69 CPA, it should not be the catch-all destination if best-sellers is truly producing much lower-cost conversions.
  • Use article landing pages only where the search intent is educational but still commercially adjacent. Example: alcohol-alternative style searches. Do not send general recipe traffic there from purchase campaigns.

Measurement caveats

This account cannot be judged cleanly on purchase CPA from the provided files alone.

  • Report conflict: landing-page report shows 351.49 conversions, while channel performance shows 126.33 conversions total and 104.90 purchases in Results.
  • Fractional conversions are present, which suggests modeled or attributed conversions rather than simple last-click counts.
  • Some rows are mathematically abnormal. The visible search term sipjeng shows 2 clicks and 14.00 conversions. That means you should not treat row-level conversion rates as literal purchase behavior without checking attribution/report settings.
  • The channel report mixes Results types such as Add to cart, Begin checkout, Page View, and Purchase. If campaigns are optimizing to blended actions, CPA decisions may be skewed away from purchases.
  • The search terms export is truncated, so query recommendations are necessarily partial. I can confirm waste patterns, but not produce a complete ranked winner/loser map from that file.

What this means operationally: make no-regret waste cuts immediately, but gate major scale decisions behind purchase-only measurement cleanup.

24-hour action list

  1. Cube | New Pmax — reduce budget sharply or pause while purchase measurement is checked. Visible performance is weak: Google Search $198.46 / 1.00 conversion, plus GDN $154.22 / 0 and YouTube $36.98 / 0.
  2. Account-level channel control — exclude or stop funding Display and YouTube-focused inventory for purchase campaigns. Combined visible waste is $492.40 + $540.58 = $1,032.98 with 0 conversions; including Search partners makes it $1,036.29.
  3. Approved destination list — restrict paid routing to /collections/best-sellers, /collections/non-alcoholic-thc-drinks, /products/thc-infused-jeng-and-tonic, and /product/collection-sampler-6-pack/.
  4. Weak destination exclusions — block or remove paid routing to /contact/, /about/ on the shop subdomain, /collections/cbd-infused-drinks, /products/thc-infused-paloma, /collections/functional-beverages, and the automatic /shop/ route with 0 conversions.
  5. Search negatives — add coupon/discount competitor negatives. Start with the supported pattern shown by tost discount code and broader competitor-discount intent.
  6. Search negatives — add recipe/how-to informational negatives. Start with patterns supported by the export: recipe, specs, making a mocktail, cocktail recipes.
  7. Search negatives or isolated campaign — block competitor brand leakage from core purchase campaigns. Use the visible competitor-brand bucket from the report rather than a giant one-off list.
  8. Brand campaign verification — check whether brand terms are isolated in Cube_Search_Brand and not contaminating broader campaigns. The visible search-term behavior suggests brand and nonbrand separation matters.
  9. Conversion settings audit — verify that Purchase is the only primary optimization action for purchase campaigns. If Add to cart, Begin checkout, or Page View are primary, demote them.
  10. Final URL control audit — if automatic destination expansion is enabled, restrict it to the approved page list.

7-day validation plan

  1. Re-pull reporting using purchase-only columns if possible. Compare campaign, search term, and landing page performance on the same conversion action set.
  2. Measure spend shift effect. After cutting Display/YouTube-style waste and weak URLs, check whether Search share and purchase volume hold while blended CPA falls.
  3. Validate destination concentration. Confirm whether more traffic routed to /collections/best-sellers keeps purchase CPA materially below /shop.sipjeng.com/shop/ and /try.sipjeng.com/.
  4. Review search term quality after negatives. Look specifically for declines in competitor, coupon, recipe, and generic cocktail intent.
  5. Check whether brand is inflating perceived performance. Brand should be reported separately so nonbrand CPA can be managed honestly.
  6. Compare active campaign behavior to historical winners. Not to re-enable blindly, but to identify what changed in destination mix, query quality, and conversion optimization between the paused search-heavy campaigns and the current active PMax setup.
  7. Sanity-check row anomalies. Any repeat cases like conversions exceeding clicks should be investigated before using those rows as optimization proof.

Goal summary captured

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

The strongest evidence-backed path is:

  • cut non-search waste immediately,
  • reduce active PMax dependence,
  • tighten search queries with negatives and stricter match control,
  • route paid traffic to a short list of proven conversion pages led by /collections/best-sellers,
  • and fix purchase measurement before making any major scale decisions.

Agent 3 — QA report

VERDICT
revise

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

WHAT WORKED
- Strong alignment to the client goal of lowering CPA, with a clear operator-style structure and prioritized actions.
- Correctly foregrounded the major conversion-reporting conflict and treated many recommendations as directional rather than definitive.
- Several calculations are accurate and traceable to the handoff:
  - /collections/best-sellers CPA ≈ $4.58
  - /shop.sipjeng.com/shop/ CPA ≈ $110.18
  - /try.sipjeng.com/ CPA ≈ $63.69
  - Display + YouTube + Search partners waste total ≈ $1,036.29
  - Cube | New Pmax search CPA ≈ $198.46
- Good skepticism on low-volume anomalies like /pages/about and the “mocktails” row.
- Recommendations around negatives for competitor/coupon/informational terms are grounded in the visible search-term sample.

FAILURES
- The answer overstates purchase specificity in places. The client asked for lowest CPA for purchase conversions, but much of the answer relies on the landing-page “Conversions” column, which is not confirmed to be purchase-only. The caveat is present, but the recommendations still become too confident in several spots.
- It introduces a specific figure not provided in the extracted facts: “104.90 purchases in Results.” That number was not in Agent 1’s facts. This is unsupported and should not have been asserted.
- “Search is the only channel with meaningful reported purchase activity” is too strong. The channel report supports that Search is the only channel with reported conversions, but not cleanly “purchase activity” across all cited sections because the report mixes Results types and conversions.
- “Current/visible PMax performance is not supporting a low-CPA purchase goal” is directionally fair, but it blends two different reports with contradictory conversion definitions. The answer should be more explicit that the $391.91 PMax CPA comes from landing-page conversions, not confirmed purchases.
- “Restrict budget to Search-first inventory” and “exclude or stop funding Display and YouTube-focused inventory” are actionable, but for PMax you cannot simply exclude those surfaces in standard ways. The answer partially says “if possible,” but the action list still reads more definitive than the platform controls justify.
- Recommending a short approved destination list is only partly supported. /collections/best-sellers is clearly strong, but forcing traffic to /product/collection-sampler-6-pack/ based on 20 clicks and 4 conversions is a low-volume call and should be labeled as a test, not a hard inclusion.
- It misses a key nuance: the very strong /collections/best-sellers result could be heavily brand-influenced. The answer mentions brand contamination later, but it should directly caution that this page may be benefiting from brand demand rather than page superiority alone.
- It doesn’t sufficiently address that the channel report header is contradictory (“search terms insight report”), which further weakens confidence in channel-level interpretation.

MISSED EVIDENCE
- The answer did not use the explicit network-level CPA comparison from the landing-page report as carefully as it could have:
  - Search CPA ≈ $27.21 vs PMax CPA ≈ $391.91
  This is one of the strongest directional pieces of evidence, but it should have been tied more tightly to the conversion-definition caveat.
- It omitted one of the strongest historical signals:
  - Cube_30Dec_CatchAll_Pmax Google Search CPA ≈ $43.99 outperformed Cube_Catch All_OCT at ≈ $56.22.
  The answer mentions both, but doesn’t prioritize what changed or why one historical campaign might be a better rebuild template.
- It didn’t emphasize enough that Display and YouTube zero-conversion totals are still relatively low spend and may be upper-funnel by design; for a strict purchase CPA goal they are cut candidates, but this should be framed as objective mismatch rather than universal waste.
- It could have called out that several “winner” rows are tiny samples:
  - /pages/about: 6 clicks, 2 conv
  - homepage automatic: 30 clicks, 2 conv
  - /collections/non-alcoholic-thc-drinks: 18 clicks, 4 conv
  - collection sampler: 20 clicks, 4 conv
  Some of this was acknowledged, but not consistently.

HALLUCINATION CHECK
- Unsupported claim detected: “104.90 purchases in Results.” This number was not in Agent 1’s extracted facts and should be treated as invented unless directly visible in source text, which was not provided in the handoff.
- Potentially unsupported specificity: references to “Cube_Search_Brand” as though confirmed in the evidence. Agent 1 did not list that campaign among extracted facts. If it appeared in raw truncated text, it was not surfaced in the handoff; as delivered, this looks ungrounded.
- No obvious arithmetic errors in the CPAs and spend totals cited.
- Most URL and search-term examples are traceable to the handoff.

REVISION NEEDED
- Remove any unsupported figures, especially “104.90 purchases.”
- Tighten wording wherever “purchase” is used; distinguish:
  - confirmed conversions from channel report,
  - generic conversions from landing-page report,
  - and purchase-specific objective as the client’s goal.
- Reframe hard recommendations on PMax surfaces and destination whitelisting as conditional/platform-aware:
  - reduce PMax budget,
  - test Search-first allocation,
  - restrict final URL expansion if enabled,
  - use listing/page exclusions where applicable,
  rather than implying full channel exclusion inside PMax is directly controllable.
- Downgrade low-volume landing-page recommendations from “approved list” to “test/validate” unless they have enough volume.
- Add a stronger caution that /collections/best-sellers may be a brand-heavy beneficiary, not necessarily a universally superior nonbrand landing page.
- Remove or qualify any campaign names not explicitly present in the extracted facts unless cited from provided source.

FINAL QA SUMMARY
This is a solid draft, but not approval-ready. It is well structured, mostly evidence-based, and operationally useful, yet it crosses the line into unsupported specificity in at least one clear case and is too confident about purchase-level conclusions given the conversion mismatch. The main fixes are to eliminate invented evidence, separate generic conversions from purchase conversions more rigorously, and soften hard recommendations that depend on low-volume rows or limited control over PMax surfaces.

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