← Back to app

Run 2026-03-26-031658-99197da1Mode llmStatus unknownQA completed37,218 est. tokens$0.2171 est. cost

Saved: 2026-03-26T03:16:58.233783+00:00
Model: gpt-5.4
Estimated input/output tokens: 27,293 / 9,925

No status detail.

Processed files

Agent 1 — Intake handoff

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

PROVIDED EVIDENCE
1) Landing page report CSV
- Title/date range: “Landing page report September 25, 2025 - March 23, 2026”
- Dimensions/metrics include: Landing page, Selected by, Clicks, Impr., CTR, Avg. CPC, Cost, Conversions
- Contains landing-page-level performance across advertiser-selected and automatic URLs
- Includes totals for account, landing pages, Performance Max, Search

2) Channel performance CSV
- Title/date range: “Search terms insight report September 25, 2025 - March 23, 2026”
- Despite file name “Channel Performance,” actual columns are by channel and campaign: Channels, Status, Campaigns, Impr., Clicks, Interactions, Conversions, Conv. value, Cost, Results, Results value
- Shows channel/campaign mix including Google Search, GDN, YouTube, Search partners, Gmail, Discover, Maps
- Includes total rows by all campaigns and by channel

3) Search terms report CSV
- Title/date range: “Search terms report September 25, 2025 - March 23, 2026”
- Columns 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 text is truncated in the prompt, so full search-term dataset is not available

EXTRACTED FACTS
Account / 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 implication: almost all purchase-driving conversions are from Search, while PMax contributes negligible conversions

High-volume / high-conversion landing pages
- https://sipjeng.com/collections/best-sellers (ADVERTISER)
  - 791 clicks, 55,088 impr, 1.44% CTR, avg CPC $1.20, cost $951.15, conversions 207.65
  - Approx CPA: $4.58
- https://try.sipjeng.com/ (ADVERTISER)
  - 728 clicks, 21,337 impr, 3.41% CTR, avg CPC $3.85, cost $2,802.50, conversions 44.00
  - Approx CPA: $63.69
- https://shop.sipjeng.com/ (ADVERTISER)
  - 438 clicks, 17,308 impr, 2.53% CTR, avg CPC $3.30, cost $1,444.84, conversions 38.50
  - Approx CPA: $37.53
- https://shop.sipjeng.com/shop/ (ADVERTISER)
  - 872 clicks, 68,994 impr, 1.26% CTR, avg CPC $3.71, cost $3,231.88, conversions 29.33
  - Approx CPA: $110.19
- https://sipjeng.com/blogs/blog/alcohol-alternative-drinks-2025 (AUTOMATIC)
  - 225 clicks, 2,104 impr, 10.69% CTR, avg CPC $1.88, cost $423.97, conversions 10.00
  - Approx CPA: $42.40
- https://sipjeng.com/products/thc-infused-jeng-and-tonic (AUTOMATIC)
  - 23 clicks, 450 impr, 5.11% CTR, avg CPC $5.05, cost $116.05, conversions 6.00
  - Approx CPA: $19.34
- https://sipjeng.com/collections/non-alcoholic-thc-drinks (AUTOMATIC)
  - 18 clicks, 507 impr, 3.55% CTR, avg CPC $3.26, cost $58.71, conversions 4.00
  - Approx CPA: $14.68
- https://shop.sipjeng.com/product/collection-sampler-6-pack/ (ADVERTISER)
  - 20 clicks, 13,454 impr, 0.15% CTR, avg CPC $4.98, cost $99.65, conversions 4.00
  - Approx CPA: $24.91
- https://sipjeng.com/pages/about (AUTOMATIC)
  - 6 clicks, 19 impr, 31.58% CTR, avg CPC $5.53, cost $33.15, conversions 2.00
  - Approx CPA: $16.58
- https://sipjeng.com/ (AUTOMATIC)
  - 30 clicks, 194 impr, 15.46% CTR, avg CPC $1.68, cost $50.45, conversions 2.00
  - Approx CPA: $25.23

Low-performing / zero-conversion landing pages with spend
- https://sipjeng.com/products/thc-infused-paloma (AUTOMATIC): 8 clicks, cost $61.39, 0 conv
- https://sipjeng.com/collections/cbd-infused-drinks (AUTOMATIC): 20 clicks, cost $77.91, 0 conv
- https://sipjeng.com/blogs/news/meet-jeng-the-alcohol-free-hemp-infused-beverage-for-cocktail-lovers (AUTOMATIC): 6 clicks, cost $37.63, 0 conv
- https://sipjeng.com/collections/functional-beverages (AUTOMATIC): 6 clicks, cost $35.39, 0 conv
- https://shop.sipjeng.com/contact/ (ADVERTISER): 5 clicks, 4,873 impr, cost $20.05, 0 conv
- https://shop.sipjeng.com/about/ (ADVERTISER): 3 clicks, 3,470 impr, cost $24.38, 0 conv
- https://shop.sipjeng.com/product/summer-starter-pack/ (ADVERTISER): 1 click, cost $16.61, 0 conv
- https://shop.sipjeng.com/product/sweet-spot-pack/ (ADVERTISER): 2 clicks, cost $7.95, 0 conv
- https://sipjeng.com/products/thc-infused-rhubarb-cucumber-spritz (AUTOMATIC): 1 click, cost $14.21, 0 conv
- https://sipjeng.com/collections/low-sugar-cocktails (AUTOMATIC): 2 clicks, cost $15.34, 0 conv

Channel/campaign facts
- Google Search total: 214,867 impr, 1,877 clicks, 126.33 conversions, conv value $10,027.42, cost $7,309.65
  - Approx 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
- Gmail/Discover/Maps: negligible/no conversion

Campaign-level standouts in 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
  - Approx CPA: $56.23
- Cube_30Dec_CatchAll_Pmax on Google Search (PAUSED)
  - 72,373 impr, 300 clicks, 28.44 conversions, conv value $715.66, cost $1,251.03
  - Approx CPA: $43.99
  - But “Purchase” within Results is only 7.01, creating measurement inconsistency vs total conversions 28.44
- Cube | New Pmax on Google Search (ACTIVE)
  - 1,618 impr, 63 clicks, 1.00 conversion, conv value $23.09, cost $198.46
  - Approx CPA: $198.46
- Cube_Pmax on Google Search (PAUSED)
  - 2,661 impr, 81 clicks, 1.00 conversion, cost $481.72
  - Approx CPA: $481.72
- Cube | PMax - Website Traffic on Google Search (PAUSED)
  - 1,554 impr, 11 clicks, 1.01 conversions, cost $30.16
  - Approx CPA: $29.86
  - But this campaign’s Results include multiple micro-conversions; likely not purchase-only optimization

Search term facts visible in provided excerpt
- Search terms report is truncated, but visible examples suggest broad/AI Max leakage into competitor and irrelevant terms
- Brand/W campaign:
  - “sipjeng” in Cube_Search_W, Phrase match (close variant): 2 clicks, 2 impr, 100% CTR, avg CPC $0.17, cost $0.34, conv rate 700%, conversions 14.00, cost/conv $0.02
  - This is an obvious outlier / likely conversion counting anomaly because 14 conversions from 2 clicks is not plausible for purchases
- “mocktails” in Cube_Search_W: 1 click, cost $0.85, 1 conversion, cost/conv $0.85
- Non-brand questionable terms with spend and 0 conv:
  - “hemp infused seltzer” 1 click, $3.46, 0 conv
  - “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
- Many visible terms are competitor brands or loosely relevant informational queries:
  - shimmerwood beverages, gaba spirits, melati drinks, wunder drink, cycling frog drinks, little saints negroni, seth rogen seltzer, where to buy de soi, nowadays drink near me, etc.
- Search terms include match types Broad match, AI Max, Phrase close variant, and Performance Max

Contradictions / tracking issues
- Channel report counts conversions and “Results” together with micro-conversions like Page View, Add to cart, Begin checkout, and Purchase
- Total conversions in channel report (126.33 for Google Search) do not cleanly reconcile to purchase counts listed in Results
- Landing page report total conversions 351.49 is far higher than channel report total conversions 126.33, indicating different conversion sets/attribution/reporting scopes
- Search total in landing page report shows 350.49 conversions while channel report Google Search shows 126.33 conversions over same date range
- Search term sample has impossible-looking values for purchase-oriented interpretation, e.g., 14 conversions on 2 clicks, 700% conv rate
- Therefore purchase CPA cannot be treated as fully reliable from all reports without confirming which conversion action is primary

OBSERVED METRICS
Primary measurable metrics available
- Cost
- Clicks
- Impressions
- CTR
- Avg CPC
- Conversions
- Conversion value / Results value in channel report
- Search term-level conv rate and cost/conv in truncated sample

Derived CPAs from landing page report
- Best sellers collection: $951.15 / 207.65 = ~$4.58
- Non-alcoholic THC drinks collection: $58.71 / 4 = ~$14.68
- About page (automatic): $33.15 / 2 = ~$16.58
- Jeng and tonic product: $116.05 / 6 = ~$19.34
- Collection sampler 6-pack (advertiser): $99.65 / 4 = ~$24.91
- Home page automatic: $50.45 / 2 = ~$25.23
- shop.sipjeng.com/: $1,444.84 / 38.5 = ~$37.53
- blog alcohol-alternative-drinks-2025: $423.97 / 10 = ~$42.40
- try.sipjeng.com/: $2,802.50 / 44 = ~$63.69
- shop.sipjeng.com/shop/: $3,231.88 / 29.33 = ~$110.19

Derived CPAs from channel report
- Google Search total: ~$57.86
- GDN and YouTube: no CPA possible because 0 conversions
- Cube_Catch All_OCT Search: ~$56.23
- Cube_30Dec_CatchAll_Pmax Search: ~$43.99
- Cube | New Pmax Search: ~$198.46
- Cube_Pmax Search: ~$481.72

GAPS/UNCERTAINTY
- No screenshots were provided; only CSV text dumps
- User said 3 reports; the third report is truncated, so full search-term evidence is missing
- No campaign budget, bidding strategy, target CPA/ROAS, geo, device, audience, ad copy, asset group, product feed, or ad group structure details
- No explicit confirmation of which conversion action should count as “purchase conversion”
- Major discrepancy across reports indicates conversion measurement inconsistency:
  - Landing page report total conversions 351.49 vs channel report total 126.33 for same period
  - Results include micro-conversions, making purchase-only CPA unclear
- No separation of brand vs non-brand campaign totals beyond campaign names / visible search-term fragments
- Cannot see exact negatives already applied
- Cannot see current landing page assignments by campaign/ad group
- Search term report excerpt may not include highest-spend terms, so recommendations on negatives must stay directional unless based on visible terms only

RECOMMENDED ANALYSIS ANGLE
1) Lead with a measurement caveat:
- Before optimization, flag that purchase tracking/reporting is inconsistent across reports, so recommendations should prioritize sources that look most purchase-proximate and avoid overtrusting blended “Conversions.”

2) Focus optimization around what clearly lowers CPA:
- Shift traffic toward proven low-CPA landing pages:
  - /collections/best-sellers
  - /collections/non-alcoholic-thc-drinks
  - /products/thc-infused-jeng-and-tonic
  - possibly /product/collection-sampler-6-pack/
- Reduce / pause spend to expensive or zero-conversion destinations:
  - /shop/
  - /try.sipjeng.com/ if purchase CPA is truly higher than alternatives
  - automatic blog/info/about/contact URLs with no conversions
  - product/category pages with spend and 0 conv

3) Network/channel recommendation:
- Search is the only channel showing meaningful conversions
- GDN + YouTube are spend with 0 conversions in provided data; recommend excluding / limiting these inside PMax if possible, or deprioritizing PMax vs Search for purchase CPA goal
- Active “Cube | New Pmax” looks poor on Search ($198 CPA) and display also has 0 conversions; candidate for aggressive restructuring or budget pullback

4) Search query hygiene:
- Recommend tighter query control:
  - Add negatives for visible competitor and low-intent terms that spent with 0 conv
  - Reduce broad / AI Max leakage in non-brand
  - Separate brand and non-brand budgets/bids
- Because visible term list contains many competitor/informational queries, frame as “based on visible sample, add negatives for competitor brands + discount code + recipe/review/near me intents where not converting”

5) Operator-style output for Agent 2:
- Prioritized action list with “Do / Why / Expected impact / Evidence”
- Explicitly note confidence levels:
  - High confidence: channel cuts, landing-page consolidation
  - Medium confidence: search-term negatives from truncated sample
  - Low confidence until tracking clarified: exact purchase CPA benchmarks and bidding recommendations

Agent 2 — Client output

Executive diagnosis

Your lowest-CPA path is to push harder into Search traffic that lands on the few URLs already showing materially lower reported CPA, and cut back anything sending paid clicks to broad storefront, info, or auto-selected pages that are either expensive or not converting in the evidence.

The strongest directional evidence is:

  • Search is where nearly all reported conversions are happening. In the landing page report, Search shows 350.49 reported conversions on $9,536.20 spend. Performance Max shows 1.00 reported conversion on $391.91 spend.
  • In the channel report, Google Search has 126.33 conversions on $7,309.65 spend, while Google Display Network has $492.40 spend and 0 conversions, and YouTube has $540.58 spend and 0 conversions.
  • At landing-page level, a small set of pages carry most of the reported conversion volume at much lower implied CPA than the account average.

The biggest limitation: the reports do not reconcile cleanly for purchase-only CPA. The same date range shows 350.49 Search conversions in the landing page report versus 126.33 Google Search conversions in the channel report, and the channel report mixes reported conversions/results like page views, add to cart, begin checkout, and purchase. So I can give you strong operating actions, but not a clean purchase-only truth across all three files.

Biggest waste to cut

High confidence Pull budget away from non-Search inventory and weak PMax

  • Google Display Network: $492.40 spend, 0 conversions in the channel report.
  • YouTube: $540.58 spend, 0 conversions in the channel report.
  • Search partners: $3.31 spend, 0 conversions. Small, but no reason to prioritize it for a lowest-CPA goal.
  • Active Cube | New Pmax: on Google Search placement in the channel report it spent $198.46 for 1.00 conversion, implying about $198.46 CPA. That is far worse than the stronger Search campaign CPAs shown elsewhere.

If purchase CPA is the goal, there is no evidence here to justify spending into Display or YouTube, and the active PMax shown is not competitive on reported CPA.

High confidence Stop paying for weak destination URLs

These landing pages have clear spend with no reported conversions in the landing page report and are immediate cut/contain candidates:

  • /products/thc-infused-paloma — $61.39 spend, 0 conversions
  • /collections/cbd-infused-drinks — $77.91 spend, 0 conversions
  • /blogs/news/meet-jeng-the-alcohol-free-hemp-infused-beverage-for-cocktail-lovers — $37.63 spend, 0 conversions
  • /collections/functional-beverages — $35.39 spend, 0 conversions
  • /shop.sipjeng.com/contact/ — $20.05 spend, 0 conversions
  • /shop.sipjeng.com/about/ — $24.38 spend, 0 conversions
  • /shop.sipjeng.com/product/summer-starter-pack/ — $16.61 spend, 0 conversions
  • /products/thc-infused-rhubarb-cucumber-spritz — $14.21 spend, 0 conversions
  • /collections/low-sugar-cocktails — $15.34 spend, 0 conversions

Also, your large-cost storefront path is a problem:

  • /shop.sipjeng.com/shop/ — $3,231.88 spend / 29.33 conversions ≈ $110.19 implied CPA
  • /try.sipjeng.com/ — $2,802.50 spend / 44.00 conversions ≈ $63.69 implied CPA

Compared with your best landing pages, both are expensive.

Scale opportunities

High confidence Put more traffic on the lowest implied-CPA pages already working

  • /collections/best-sellers — $951.15 / 207.65 ≈ $4.58 implied CPA. This is the standout by a wide margin and also has enough volume to trust directionally.
  • /collections/non-alcoholic-thc-drinks — $58.71 / 4.00 ≈ $14.68 implied CPA. Smaller sample, but positive.
  • /products/thc-infused-jeng-and-tonic — $116.05 / 6.00 ≈ $19.34 implied CPA. Positive enough to route more qualified traffic there.
  • /shop.sipjeng.com/product/collection-sampler-6-pack/ — $99.65 / 4.00 ≈ $24.91 implied CPA on the advertiser-selected row. Promising but still lower volume.
  • /shop.sipjeng.com/ — $1,444.84 / 38.50 ≈ $37.53 implied CPA. Not as strong as the pages above, but materially better than /shop/ and /try.

Operator read: if you are forced to choose between broad storefront/home routing and direct collection/product routing, the report strongly favors direct collection/product routing.

Medium confidence Keep selective auto-routed winners, block the rest

Automatic URL selection is not universally bad here. Some auto-selected pages have useful reported CPA:

  • /blogs/blog/alcohol-alternative-drinks-2025 — $423.97 / 10.00 ≈ $42.40
  • /products/thc-infused-jeng-and-tonic — $116.05 / 6.00 ≈ $19.34
  • /collections/non-alcoholic-thc-drinks — $58.71 / 4.00 ≈ $14.68

So the right move is not “turn off every automatic URL” by default. The right move is: keep or isolate the auto-selected URLs that are producing reported conversions at reasonable implied CPA, and exclude the obvious losers listed above.

Campaign-level changes

High confidence Reallocate toward Search campaigns with better reported CPA

  • Cube_Catch All_OCT on Google Search: $5,334.65 / 94.88 conversions ≈ $56.23.
  • Cube_30Dec_CatchAll_Pmax on Google Search: $1,251.03 / 28.44 conversions ≈ $43.99.

Those reported CPAs beat the active Cube | New Pmax at about $198.46 per reported conversion.

However, for Cube_30Dec_CatchAll_Pmax, the channel report also shows Purchase: 7.01 inside Results while Conversions are 28.44. That means this campaign is a measurement-mixed case. Treat it as a better reported conversion campaign, but not clean purchase proof.

High confidence If active budgets are still available in PMax, cut them back aggressively

  • Active Cube | New Pmax: Search $198.46 for 1.00 conversion, Display $154.22 for 0 conversions, YouTube $36.98 for 0 conversions.
  • No evidence in the files that this active PMax is your lowest-CPA purchase engine.

For a lowest-CPA purchase goal, I would reduce active PMax spend until Search demand capture is fully funded and cleaned up first.

Medium confidence Separate landing-page intent by campaign

Based on the landing page spread, Search traffic should not all be going to one generic destination. Split routing by intent:

  • High-intent commercial/non-brand traffic: send to /collections/best-sellers, /collections/non-alcoholic-thc-drinks, or a strong product page.
  • Brand traffic: test /collections/best-sellers versus the strongest shop/product destination, not /shop/ by default.
  • Informational traffic: only allow if the info page can prove conversion efficiency, as the blog URL above partially does.

Ad group/keyword/search-term changes

High confidence Tighten query control; current sample shows leakage

The search terms file is truncated, so I cannot claim this is the full waste picture. But the visible sample is enough to justify tightening.

High confidence Add negatives for visible zero-conversion waste terms

Visible terms with spend and 0 conversions in the sample:

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

Action: add these as negatives at the non-brand campaign level unless you have a separate intentional test for them.

High confidence Block competitor leakage out of brand traffic

The search term sample for the brand campaign includes competitor-style or unrelated brand queries such as:

  • shimmerwood beverages
  • gaba spirits
  • melati drinks
  • wunder drink
  • cycling frog drinks

If these are appearing in a campaign labeled Cube_Search_Brand, that is not clean brand protection. Add competitor negatives to the brand campaign, or split competitor exploration into its own isolated campaign with a capped budget and separate landing pages.

Medium confidence Reduce Broad match and AI Max exposure in non-brand until query quality improves

The visible sample includes Broad match and AI Max query matching against loosely relevant or competitor terms. For a lowest-CPA goal, I would:

  • Move proven commercial themes into Exact and Phrase.
  • Keep Broad only where search-term review is active and conversion quality is verified.
  • Strip AI Max style expansion out of brand campaigns first if it is introducing non-brand competitor traffic.

Low confidence Do not scale the tiny-sample “wins” yet

  • mocktails — 1 click, 1 conversion, $0.85 cost/conv. Positive signal, not scale-ready proof.
  • sipjeng — 2 clicks, 14.00 conversions, 700% conversion rate. This is not credible as purchase evidence and should be treated as a tracking anomaly, not a keyword hero.

Landing-page changes

High confidence Make /collections/best-sellers the default test control page for commercial Search

It has the strongest combination of scale and implied efficiency in the report: 791 clicks, $951.15 cost, 207.65 conversions, or about $4.58 per reported conversion. That is dramatically lower than /try.sipjeng.com/ at about $63.69 and /shop/ at about $110.19.

High confidence Reduce traffic to /shop.sipjeng.com/shop/

This is the most obvious destination-level budget leak with enough volume to matter. $3,231.88 spend for 29.33 reported conversions implies roughly $110.19 per conversion. Unless purchase tracking proves this page drives meaningfully higher order value, it should lose traffic to better-performing collection/product destinations.

Medium confidence Re-test /try.sipjeng.com/ only against stronger direct-buy pages

/try.sipjeng.com/ produced 44.00 conversions on $2,802.50 spend, which implies about $63.69. That is not terrible relative to some campaign-level Search CPAs, but it is much worse than your best collection/product pages. Keep it only if it wins on confirmed purchase quality after tracking cleanup.

Medium confidence Exclude weak auto-selected URLs individually

If URL expansion or automatic final URL behavior is enabled anywhere, exclude the exact weak pages supported by the landing page report, especially:

  • /products/thc-infused-paloma
  • /collections/cbd-infused-drinks
  • /collections/functional-beverages
  • /blogs/news/meet-jeng-the-alcohol-free-hemp-infused-beverage-for-cocktail-lovers
  • /contact/ and /about/ paths on the shop domain where clicks are being paid for

Measurement caveats

This account needs conversion cleanup before anyone can honestly claim a true purchase CPA from these three exports alone.

  • Landing page report Search total: 350.49 conversions on $9,536.20.
  • Channel report Google Search total: 126.33 conversions on $7,309.65.
  • Channel report Results include mixed events such as page views, add to cart, begin checkout, and purchase.
  • The visible search term row for sipjeng shows 14.00 conversions on 2 clicks with a 700% conversion rate, which is not believable as purchase-only behavior.
  • Cube_30Dec_CatchAll_Pmax shows 28.44 conversions, but only Purchase: 7.01 inside Results. That is a major attribution/objective mismatch for a purchase-CPA goal.

So: use the landing-page and channel reports for directionally strong cuts and reallocations, but verify which exact conversion action is primary before setting target CPA or declaring winners on purchase performance.

24-hour action list

  1. Cube | New Pmax — reduce budget sharply or pause if Search campaigns are currently budget-constrained. Evidence: $198.46 for 1.00 reported conversion on Google Search plus $154.22 on GDN for 0 conversions and $36.98 on YouTube for 0 conversions.
  2. Any active Display or YouTube-serving PMax/cross-network campaign — verify channel mix and remove/contain spend where possible for a purchase-CPA objective. Evidence: GDN $492.40 with 0 conversions; YouTube $540.58 with 0 conversions in the channel report.
  3. Search campaigns currently routing to /shop.sipjeng.com/shop/ — change final URL to /collections/best-sellers for the highest-intent ad groups. Evidence: $110.19 implied CPA on /shop/ versus $4.58 on /collections/best-sellers.
  4. Search campaigns currently routing to /try.sipjeng.com/ — launch an immediate A/B routing test against /collections/best-sellers or /products/thc-infused-jeng-and-tonic. Evidence: /try at about $63.69 versus /best-sellers at about $4.58 and /jeng-and-tonic at about $19.34.
  5. Automatic URL expansion or final URL inclusion list — exclude the exact weak URLs with paid spend and 0 conversions: /products/thc-infused-paloma, /collections/cbd-infused-drinks, /collections/functional-beverages, /blogs/news/meet-jeng-the-alcohol-free-hemp-infused-beverage-for-cocktail-lovers, /shop.sipjeng.com/contact/, /shop.sipjeng.com/about/.
  6. Cube_Search_Brand — add competitor negatives for visible competitor-style queries appearing in the brand campaign, including shimmerwood beverages, gaba spirits, melati drinks, wunder drink, and cycling frog drinks.
  7. Cube_Search_NonBrand_OCT_Relaunched_CPC — add negatives for visible zero-conversion terms with spend: hemp infused seltzer; and if confirmed in your full report, also apply the visible handoff terms tost discount code, cbd drinks 50 mg, nootropic drinks to replace alcohol, and relaxing drinks instead of alcohol.
  8. Brand vs non-brand campaign structure — verify that brand campaigns cannot match competitor queries via Broad/AI Max expansion. If they can, tighten match types and isolate competitor testing outside brand.
  9. Primary conversion setting — verify the exact purchase conversion action used for bidding/reporting and remove micro-conversions from optimization if they are included in the primary “Conversions” column. This is gating work.
  10. Search campaign budget allocation — if any strong Search campaign is limited, move budget there first before funding PMax. Evidence: Search is the only channel with meaningful reported conversion volume in both reports.

7-day validation plan

High confidence actions to validate

  • Compare post-change spend and reported conversions for traffic moved from /shop/ and /try into /collections/best-sellers.
  • Check whether total Search CPA improves after reducing active PMax and non-Search exposure.
  • Review landing page report again after URL exclusions to confirm weak automatic destinations stop receiving clicks.

Medium confidence tests

  • Run controlled routing tests between /collections/best-sellers, /collections/non-alcoholic-thc-drinks, and /products/thc-infused-jeng-and-tonic for matched intent themes.
  • Review search term report daily for additional competitor, discount-code, and low-intent informational leakage. The supplied search term export is truncated, so there is likely more waste not visible here.
  • If the blog URL /blogs/blog/alcohol-alternative-drinks-2025 remains active, validate whether its reported conversions are actually purchase-quality before scaling it. Its implied CPA is about $42.40, but the account’s measurement inconsistency makes that only a directional signal.

Low confidence / measurement-gated ideas

  • Do not set or tighten target CPA from these exports alone until you confirm the purchase action definition in the Conversions column.
  • Do not scale “winner” search terms that only have one click and one conversion.
  • Do not use the sipjeng search-term row as proof of brand efficiency until the conversion anomaly is resolved.

Goal summary captured

Your stated goal is lowest CPA for purchase conversions for SipJeng Google Ads.

Based on the three reports only, the operator answer is:

  • Prioritize Search.
  • Cut or heavily restrict PMax/non-Search until Search is fully cleaned up and funded.
  • Route more paid traffic to /collections/best-sellers and selected product/category pages with lower implied CPA.
  • Pull traffic off /shop/, expensive broad storefront routes, and auto-selected info/about/contact/zero-conversion pages.
  • Tighten search query control with competitor and low-intent negatives.
  • Clean up conversion measurement before treating any blended “Conversions” number as true purchase CPA.

If you want, I can turn this into a stricter implementation sheet next: campaign-by-campaign change log, negative list, landing-page routing map, and a purchase-measurement QA checklist based only on these same files.

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 and style: the answer stays focused on lowering CPA and uses an operator-style prioritized action list.
- It correctly leads with the major measurement caveat: conversion counts do not reconcile across reports, and purchase-only truth is unclear.
- Most key recommendations are anchored to provided evidence:
  - Search prioritized over PMax/non-Search.
  - GDN and YouTube called out as spend with 0 conversions.
  - Weak landing pages with spend/0 conv are listed specifically.
  - Best-sellers, non-alcoholic THC drinks, jeng-and-tonic, and sampler pages are identified as lower implied CPA destinations.
- Arithmetic shown for major landing page and channel/campaign CPAs is mostly correct and traceable to the handoff.
- Good skepticism on tiny-sample search-term “wins” and the 14 conversions on 2 clicks anomaly.

FAILURES
- It overreaches on campaign-specific implementation details that are not fully supported by the evidence:
  - “Cube_Search_Brand” and “Cube_Search_NonBrand_OCT_Relaunched_CPC” are used as concrete implementation targets, but those exact campaign names were not clearly established in the provided evidence section. Agent 1 only referenced “Brand/W campaign” and visible examples; this is too specific.
  - “If these are appearing in a campaign labeled Cube_Search_Brand…” is speculative. The evidence says competitor-style queries appear in the visible sample and references brand/W campaign, but does not clearly prove they are in a campaign literally named Cube_Search_Brand.
- It treats landing-page conversion metrics as a stronger proxy for purchase than the caveat really allows. Example: making /collections/best-sellers the default control page is directionally reasonable, but the answer is still too confident given the known conversion-definition mismatch across reports.
- It occasionally implies channel-level certainty that may not hold because PMax reporting is fragmented:
  - “There is no evidence here to justify spending into Display or YouTube” is fair directionally, but recommending hard cuts from all active Display/YouTube-serving PMax inventory is stronger than the evidence allows, because channel report conversions/results are mixed and PMax can assist conversions not visible cleanly at channel breakout.
- It does not sufficiently separate “reported conversion CPA” from “purchase CPA” in several recommendation sections. The caveat is stated, but later sections still lean on reported CPA as if it were near-purchase truth.
- It misses that some zero-conversion URL examples are extremely low-volume and should be framed as cleanup, not meaningful budget drivers. A few are <$20-$35; useful to exclude, but not “biggest waste.”

MISSED EVIDENCE
- The answer does not leverage the full magnitude of the discrepancy between landing page Search CPA and channel Google Search CPA:
  - Landing page Search implied CPA is about $27.21 ($9,536.20 / 350.49), versus channel Google Search about $57.86 ($7,309.65 / 126.33). That mismatch is a critical reason to avoid strong CPA-based reallocations, and it should have been emphasized more when recommending landing page routing changes.
- It missed another useful weak URL from the landing-page data:
  - /shop.sipjeng.com/about/ in the raw CSV appears as AUTOMATIC with 1 click and $2.95, not the $24.38 cited in extracted facts. This discrepancy should have been noticed before repeating the higher spend figure. If Agent 2 relies on the extracted facts, they should still note possible inconsistency.
- It did not call out that some “good” URLs are also low sample:
  - /collections/non-alcoholic-thc-drinks (18 clicks, 4 conv)
  - /products/thc-infused-jeng-and-tonic (23 clicks, 6 conv)
  - /collection-sampler-6-pack/ (20 clicks, 4 conv)
  These should be framed more cautiously as test candidates rather than scale recommendations.
- It did not mention that /blogs/blog/alcohol-alternative-drinks-2025 was not visible in the raw CSV shown in the prompt excerpt, only in Agent 1 extracted facts. Using it is acceptable if relying on handoff, but it should be treated as second-hand evidence, not primary visible evidence.

HALLUCINATION CHECK
- Potential unsupported specifics:
  - “Cube_Search_Brand” appears invented or at least not grounded in the provided evidence as a confirmed campaign name.
  - “Cube_Search_NonBrand_OCT_Relaunched_CPC” also appears not established in the evidence provided here.
- Possible evidence inflation:
  - The answer references Display and YouTube line items inside active “Cube | New Pmax” with exact spend values ($154.22, $36.98). Those values were not in Agent 1’s extracted facts. If they came from the raw file not shown in the handoff summary, fine—but from the materials provided to QA, they are not traceable. This is a grounding failure unless directly present in the original Agent 2 source review.
- The competitor query-to-brand-campaign linkage is not proven. The answer should say “if confirmed in the full search terms report” more consistently.
- No major arithmetic errors found in the cited CPA calculations that are traceable.

REVISION NEEDED
- Remove or soften any campaign names not explicitly supported by the provided evidence. Replace with generic labels like “brand campaign” and “non-brand search campaign shown in the search terms sample.”
- Tighten language so recommendations consistently say “reported conversions” or “directional CPA,” not implied purchase truth.
- Downgrade confidence on:
  - defaulting all commercial Search to /collections/best-sellers
  - aggressive PMax cuts beyond the clearly poor active campaign shown
  - competitor negatives in brand campaigns unless confirmed by the full report
- Separate actions into:
  1) no-regret cleanup
  2) directional tests
  3) measurement-gated decisions
- Flag sample-size limitations more explicitly for low-volume landing page winners and low-spend zero-conversion terms.
- Ensure any exact spend by channel/campaign cited for active PMax is traceable to the provided evidence, or remove it.

FINAL QA SUMMARY
Solid operator answer with useful prioritization and mostly correct math, but too many sections lean harder than the evidence supports. The biggest issue is evidence discipline: a few campaign names and some channel/campaign spend details are not clearly traceable to the inputs, and several recommendations blur reported conversions with true purchase CPA despite the stated tracking inconsistency. Revise for stricter grounding, clearer confidence tiers, and fewer unsupported specifics.

Human feedback






Saved human feedback

No human feedback saved yet.