← Back to app

Run 2026-03-26-024603-1398b43eMode llmStatus unknownQA completed38,435 est. tokens$0.2354 est. cost

Saved: 2026-03-26T02:46:03.281211+00:00
Model: gpt-5.4
Estimated input/output tokens: 27,293 / 11,142

No status detail.

Processed files

Agent 1 — Intake handoff

CLIENT ASK
Provide specific Google Ads optimizations for SipJeng based only on the 3 attached reports, 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: Landing page, Selected by, Clicks, Impr., CTR, Avg. CPC, Cost, Conversions
- Includes totals by account and by network type (Search, Performance Max, etc.)

2) Channel performance / search terms insight CSV
- Date range: September 25, 2025 – March 23, 2026
- Fields: Channel, Status, Campaign, Impr., Clicks, Interactions, Conversions, Conv. value, Cost, Results, Results value
- Shows performance broken out by channel within campaigns
- Includes active and paused campaigns

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

No screenshots were provided. No website audit, no campaign settings, no geo/device/daypart/audience breakdowns, no asset/ad copy reports, no product/feed data, and no keyword-level totals beyond visible rows.

EXTRACTED FACTS
Account / top-line
- Landing page totals:
  - Landing pages 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
  - Search total: 2,844 clicks, 117,027 impressions, 2.43% CTR, $3.35 avg CPC, $9,536.20 cost, 350.49 conversions
  - Performance Max total: 499 clicks, 30,413 impressions, 1.64% CTR, $0.79 avg CPC, $391.91 cost, 1.00 conversion
- Approx blended CPA from account total: $9,928.11 / 351.49 = about $28.25
- Approx Search CPA: $9,536.20 / 350.49 = about $27.21
- Approx PMax CPA: $391.91 / 1.00 = $391.91

Landing pages driving most purchase 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: $110.16
- 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
- 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://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/collections/non-alcoholic-thc-drinks (AUTOMATIC)
  - 18 clicks, 507 impressions, 3.55% CTR, $3.26 CPC, $58.71 cost, 4.00 conversions
  - Approx CPA: $14.68
- 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/collections/hemp-infused-drinks (AUTOMATIC)
  - 12 clicks, 526 impressions, 2.28% CTR, $5.17 CPC, $62.02 cost, 1.00 conversion
  - CPA: $62.02
- https://sipjeng.com/collections/best-sellers (AUTOMATIC)
  - 2 clicks, 79 impressions, 2.53% CTR, $1.60 CPC, $3.20 cost, 1.00 conversion
  - CPA: $3.20
- https://shop.sipjeng.com/shop/ (AUTOMATIC)
  - 1 click, 2,753 impressions, 0.04% CTR, $1.32 CPC, $1.32 cost, 0.50 conversions
- https://shop.sipjeng.com/product/spicy-blood-orange/ (ADVERTISER)
  - 32 clicks, 11,834 impressions, 0.27% CTR, $3.91 CPC, $124.98 cost, 1.00 conversion
  - CPA: $124.98

Landing pages with spend but zero conversions
Examples with meaningful spend:
- /products/thc-infused-paloma (AUTO): 8 clicks, $61.39, 0 conv
- /collections/cbd-infused-drinks (AUTO): 20 clicks, $77.91, 0 conv
- /blogs/blog/thc-cocktails-montauk-beach (AUTO): 1 click, $4.76, 0 conv
- /products/thc-infused-rhubarb-cucumber-spritz (AUTO): 1 click, $14.21, 0 conv
- /shop/ (AUTO): 15 clicks, $28.33, 0 conv
- /blogs/blog/drinks-to-replace-alcohol (AUTO): 14 clicks, $14.07, 0 conv
- /news/meet-jeng... (AUTO): 6 clicks, $37.63, 0 conv
- /blogs/blog/why-cbd-is-the-best... (AUTO): 6 clicks, $14.27, 0 conv
- /collections/microdose-drinks (AUTO): 10 clicks, $19.74, 0 conv
- /collections/low-sugar-cocktails (AUTO): 2 clicks, $15.34, 0 conv
- /collections/functional-beverages (AUTO): 6 clicks, $35.39, 0 conv
- /about/ on shop subdomain (ADVERTISER): 3 clicks, $24.38, 0 conv
- /contact/ on shop subdomain (ADVERTISER): 5 clicks, $20.05, 0 conv
- /product/summer-starter-pack/ (ADVERTISER): 1 click, $16.61, 0 conv

Channel / campaign facts
- Total channel report:
  - Total cost $8,347.53
  - Total conversions 126.33
  - Approx CPA $66.08
- Google Search total in channel report:
  - 214,867 impressions, 1,877 clicks, 126.33 conversions, $10,027.42 conv. value, $7,309.65 cost
  - Approx CPA $57.86
- 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 (ACTIVE) across channels:
  - Google Search: 1,618 impressions, 63 clicks, 1.00 conversion, $23.09 conv. value, $198.46 cost
    - Approx CPA $198.46
  - Google Display Network: 24,629 impressions, 429 clicks, 0 conversions, $154.22 cost
  - YouTube: 4,107 impressions, 5 clicks, 0 conversions, $36.98 cost
  - Search partners: 59 impressions, 2 clicks, 0 conversions, $2.26 cost
- This active PMax campaign is spending across non-search channels without purchases in the provided channel report.

Paused campaign historical standouts
- Cube_Catch All_OCT (PAUSED), Google Search:
  - 135,613 impressions, 1,418 clicks, 94.88 conversions, $9,153.13 conv. value, $5,334.65 cost
  - Approx CPA $56.23
- Cube_30Dec_CatchAll_Pmax (PAUSED), Google Search:
  - 72,373 impressions, 300 clicks, 28.44 conversions, $715.66 conv. value, $1,251.03 cost
  - Approx CPA $44.00
- Cube | PMax - Website Traffic (PAUSED), Google Search:
  - 1,554 impressions, 11 clicks, 1.01 conversions, $109.55 conv. value, $30.16 cost
  - Approx CPA $29.86
- Cube_Pmax (PAUSED), Google Search:
  - 2,661 impressions, 81 clicks, 1.00 conversion, $26.00 conv. value, $481.72 cost
  - Approx CPA $481.72

Search term facts visible
- Search term report appears to mix Search and Performance Max terms.
- Conversions in visible search term rows often look fractional or inflated; one row is highly implausible:
  - “sipjeng” in Cube_Search_W, Ad group 1:
    - 2 clicks, 2 impressions, 100% CTR, $0.17 CPC, $0.34 cost, 14.00 conversions, 700.00% conv. rate, $0.02 cost/conv
  - This strongly suggests conversion metric is not strictly purchases or includes modeled/micro conversions, or there is data/reporting inconsistency.
- Visible converting search terms:
  - “mocktails” in Cube_Search_W:
    - 1 click, 36 impressions, $0.85 CPC, 1.00 conversion, CPA $0.85
  - “sipjeng” as above, likely branded and likely not reliable for pure purchase analysis due to outlier conversion count
- Visible non-converting but spend search terms:
  - “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/adjacent brand queries or low-intent informational terms:
  - shimmerwood beverages, gaba spirits, melati drinks, wunder drink, cycling frog drinks, drinkbrez llc, seth rogen seltzer, where to buy de soi, little saints negroni, athletic brewing seltzer, etc.
- Many terms are recipe/informational:
  - valentines cocktail recipes, greyhound drink, freezer old fashioned, spicy margarita mocktail, mocktails with club soda, drink recipes non alcoholic, making a mocktail, etc.

OBSERVED METRICS
Key CPA calculations from provided data
- Account CPA: ~$28.25
- Search CPA: ~$27.21
- PMax CPA from landing page report: $391.91
- Channel report total CPA: ~$66.08
- Channel report Google Search CPA: ~$57.86
- Active Cube | New Pmax Google Search CPA: $198.46
- Active Cube | New Pmax GDN/YouTube: spend with 0 purchases in provided report

Best landing pages by purchase efficiency/scale
- /collections/best-sellers (ADVERTISER): 207.65 conv on $951.15, CPA ~$4.58
- /collections/non-alcoholic-thc-drinks (AUTO): 4 conv on $58.71, CPA ~$14.68
- /products/thc-infused-jeng-and-tonic (AUTO): 6 conv on $116.05, CPA ~$19.34
- /pages/about (AUTO): 2 conv on $33.15, CPA ~$16.58, but tiny sample
- /shop.sipjeng.com/product/collection-sampler-6-pack/ (ADVERTISER): 4 conv on $99.65, CPA ~$24.91

Worst significant landing pages by purchase efficiency
- /shop.sipjeng.com/shop/ (ADVERTISER): 29.33 conv on $3,231.88, CPA ~$110.16
- /try.sipjeng.com/ (ADVERTISER): 44 conv on $2,802.50, CPA ~$63.69
- /shop.sipjeng.com/ (ADVERTISER): 38.5 conv on $1,444.84, CPA ~$37.53
- /product/spicy-blood-orange/ (ADVERTISER): 1 conv on $124.98, CPA $124.98

Contradictions / data quality issues
- Account totals differ materially between landing page report and channel report:
  - Landing page report total cost $9,928.11 and 351.49 conv
  - Channel report total cost $8,347.53 and 126.33 conv
- Search total also differs:
  - Landing page report Search: $9,536.20 cost, 350.49 conv
  - Channel report Google Search: $7,309.65 cost, 126.33 conv
- Search term row “sipjeng” reports 14 conversions from 2 clicks, which is not credible for purchase-only attribution.
- Therefore conversion definition is likely inconsistent across reports, or some reports include mixed conversion actions/modeled values. This must be called out.

GAPS/UNCERTAINTY
- No screenshots were provided despite the prompt framing “3 reports”; only CSV text exports.
- Conversion action is not clearly confirmed as purchase-only in the exports. Reports show “Conversions” and “Results” but also list Add to cart, Begin checkout, Page View mixed in channel data.
- Major inconsistency between report totals means we cannot cleanly reconcile account-level CPA from all three sources.
- Search terms report is truncated; missing many rows and likely the strongest spend terms.
- No campaign settings:
  - bidding strategy
  - budgets
  - location targeting
  - device performance
  - audience segments
  - day/hour performance
  - asset group performance
  - final URL expansion settings
  - brand exclusions/account-level negatives
  - search impression share
- No product margin/AOV targets, so “lowest CPA” cannot be balanced against profitability.
- No evidence on whether landing page subdomains differ in purchase experience or tracking setup.
- No explicit segmentation by brand vs non-brand in aggregate, only campaign names and some visible search terms.
- PMax data is especially hard to interpret because search term visibility is partial and channel report includes many paused campaigns.

RECOMMENDED ANALYSIS ANGLE
1) Lead with data caveat:
- State that optimization recommendations must be directional because the three reports do not reconcile on spend/conversions and likely use different conversion scopes.

2) Prioritize purchase-efficient landing pages:
- Strong recommendation to shift budget/traffic toward:
  - /collections/best-sellers
  - /collections/non-alcoholic-thc-drinks
  - /products/thc-infused-jeng-and-tonic
  - possibly collection-sampler product page
- Reduce or stop traffic to poor CPA/high-spend destinations:
  - /shop.sipjeng.com/shop/
  - /try.sipjeng.com/
  - generic shop/home/contact/about pages on shop subdomain unless intentionally part of high-converting funnel
  - zero-conv pages with meaningful spend

3) Tighten Search query quality:
- Add negatives for visible competitor and informational terms.
- Reduce broad/AI Max style matching on low-intent terms.
- Separate branded vs non-brand and protect brand with exact/phrase only.
- Focus on commercial-intent THC/CBD beverage terms and winning landing page alignment.

4) PMax recommendation:
- Since active Cube | New Pmax is spending on GDN/YouTube with 0 conversions in provided channel data and poor Google Search CPA, recommend restricting/pausing/retuning PMax unless it is proven incremental with purchase-only conversions.
- At minimum, disable/limit URL expansion and force high-intent final URLs if possible.
- Exclude poor landing pages from PMax URL expansion.

5) Operator-style optimization framing:
- “Scale /best-sellers”
- “Cut /shop and /try unless justified”
- “Exclude competitor and recipe queries”
- “Rebuild non-brand around purchase-intent terms + exact/phrase”
- “Audit conversion action to purchase-only primary”
- “Reconcile tracking before aggressive budget moves”

6) Emphasize highest-confidence actions only:
- Landing page consolidation
- Search negatives
- PMax containment
- Conversion tracking cleanup
These are the most defensible recommendations from the provided evidence.

Agent 2 — Client output

Executive diagnosis

Your stated goal is lowest CPA for purchase conversions. Based on the three exports, the clearest operating conclusion is this:

  • Search is where nearly all reported conversion volume is coming from.
  • The strongest purchase-efficiency signal in the landing page report is /collections/best-sellers.
  • The active Cube | New Pmax campaign is currently spending across Google Display Network and YouTube without any reported conversions in the provided channel report.
  • Several paid clicks are being sent to weak or generic destinations such as /shop/, shop homepage, and try.sipjeng.com, which show materially worse CPA than the best collection/product destinations.
  • The reports do not reconcile cleanly, so budget moves should be made with caution and with purchase-only measurement verified first.

The biggest complication is measurement consistency:

  • Landing page report total: $9,928.11 spend / 351.49 conversions ≈ $28.25 CPA.
  • Channel report total: $8,347.53 spend / 126.33 conversions ≈ $66.08 CPA.
  • Search totals also conflict across reports.
  • The search term row for sipjeng shows 14 conversions from 2 clicks, which is not credible as purchase-only proof.

Bottom line: I would make high-confidence waste cuts now, but I would treat aggressive scaling as gated by purchase-only conversion cleanup because the three reports appear to be using mixed or inconsistent conversion scopes.

Biggest waste to cut

High-confidence cuts

  • Contain or pause the active PMax campaign until purchase-only reporting is confirmed.
    • Cube | New Pmax on Google Search: $198.46 spend / 1.00 conversion ≈ $198.46 CPA.
    • Same campaign on Google Display Network: $154.22 spend / 0 conversions.
    • Same campaign on YouTube: $36.98 spend / 0 conversions.
    • Search partners: $2.26 spend / 0 conversions.
  • Reduce or stop traffic to https://shop.sipjeng.com/shop/.
    • Advertiser-selected row: $3,231.88 spend / 29.33 conversions ≈ $110.16 CPA.
    • That is far worse than /collections/best-sellers at $951.15 / 207.65 ≈ $4.58 CPA.
  • Reduce or stop traffic to https://try.sipjeng.com/ unless it is intentionally required and measured correctly.
    • $2,802.50 spend / 44.00 conversions ≈ $63.69 CPA.
    • That is much weaker than the best collection/product page destinations in the same report.
  • Reduce traffic to https://shop.sipjeng.com/ homepage.
    • $1,444.84 spend / 38.50 conversions ≈ $37.53 CPA.
    • Better than /shop/, but still materially weaker than /collections/best-sellers.
  • Cut product/page destinations with meaningful spend and zero reported conversions.
    • /products/thc-infused-paloma: $61.39 / 0
    • /collections/cbd-infused-drinks: $77.91 / 0
    • /collections/functional-beverages: $35.39 / 0
    • /news/meet-jeng...: $37.63 / 0
    • shop about: $24.38 / 0
    • shop contact: $20.05 / 0
  • Exclude weak query classes shown in the search term export.
    • Competitor/adjacent brand examples visible: shimmerwood beverages, gaba spirits, melati drinks, wunder drink, cycling frog drinks, drinkbrez llc, little saints negroni, where to buy de soi.
    • Recipe/informational examples visible: valentines cocktail recipes, greyhound drink, freezer old fashioned, spicy margarita mocktail, mocktails with club soda, drink recipes non alcoholic, making a mocktail.
    • Discount/competitor bargain intent example: tost discount code.

Why these are the clearest cuts

If the goal is lowest purchase CPA, it is hard to justify continuing to route large paid volume to destinations at roughly $38–$110 CPA when the same report shows another destination at roughly $4.58 CPA. Even allowing for attribution noise, the gap is too large to ignore.

Scale opportunities

High-confidence opportunities

  • Push more controlled Search traffic to https://sipjeng.com/collections/best-sellers.
    • 791 clicks, $951.15 spend, 207.65 conversions, ≈ $4.58 CPA.
    • This is by far the strongest blend of volume and reported efficiency in the landing page report.
  • Test more direct routing to /collections/non-alcoholic-thc-drinks.
    • $58.71 spend / 4 conversions ≈ $14.68 CPA.
    • Small sample, but directionally strong.
  • Test more direct routing to /products/thc-infused-jeng-and-tonic.
    • $116.05 spend / 6 conversions ≈ $19.34 CPA.
    • Still a smaller sample than /collections/best-sellers, but clearly better than your generic shop and try destinations.
  • Keep /product/collection-sampler-6-pack/ in the test pool, but do not over-scale yet.
    • Advertiser-selected row: $99.65 / 4 ≈ $24.91 CPA.
    • Positive signal, but volume is still limited.

Medium-confidence opportunities

  • Use the blog page /blogs/blog/alcohol-alternative-drinks-2025 only as a tightly controlled non-brand test, not a broad scale destination.
    • $423.97 / 10 ≈ $42.40 CPA.
    • That is better than /try and /shop/, but still far behind /collections/best-sellers.
  • Use small-budget exact/phrase tests around “mocktails” style intent only after validating the conversion action.
    • The visible term mocktails shows 1 click, 1 conversion, $0.85 CPA.
    • That is only a positive signal, not scale-ready proof.

Campaign-level changes

High-confidence actions

  • Cube | New Pmax: pause, or at minimum cut budget sharply while purchase-only measurement is verified.
  • Cube | New Pmax: if you keep it live, restrict final URL expansion if that setting is available in this campaign and force high-intent URLs only.
  • Cube | New Pmax: exclude weak destinations from URL expansion if possible, especially:
    • shop.sipjeng.com/shop/
    • try.sipjeng.com/
    • blog/news pages with zero reported conversions
    • about/contact/store-locator type pages
  • Search campaigns: shift final URLs away from generic homepage/shop routes and toward the best-performing purchase destinations, led by /collections/best-sellers.
  • Brand and non-brand: separate them if not already separated cleanly in the live structure. The exports show brand-like and non-brand-like terms mixing across campaigns/ad groups.

Medium-confidence tests

  • Rebuild non-brand Search around exact and phrase match only for the highest-intent commercial themes visible in the data, rather than broad/AI Max coverage.
  • Keep a dedicated brand campaign on exact/phrase and route to the strongest purchase page, not a generic homepage, unless brand-specific testing proves otherwise.
  • Turn off Search Partners in Search campaigns if enabled. Evidence is small, but the channel report shows 5 clicks, $3.31, 0 conversions.

Low-confidence / measurement-gated ideas

  • Budget increases at the campaign level should wait until the purchase conversion definition is verified across all reports.
  • I would not revive paused historical PMax campaigns based only on these exports, even where some reported CPA looks acceptable, because the reports mix purchase and other results and do not reconcile cleanly.

Ad group/keyword/search-term changes

High-confidence actions

  • Brand protection: isolate sipjeng and other brand terms into their own exact/phrase ad group or campaign.
    • The visible sipjeng row is clearly anomalous: 2 clicks, 14 conversions.
    • That means you should not use that row as proof of purchase efficiency, but you should isolate brand from non-brand so it does not distort optimization decisions.
  • Add negatives for competitor and adjacent-brand terms.
    • Visible examples to exclude: shimmerwood beverages, gaba spirits, melati drinks, wunder drink, cycling frog drinks, drinkbrez llc, little saints negroni, de soi, tost discount code.
  • Add negatives for recipe/informational intent.
    • Visible examples: valentines cocktail recipes, greyhound drink, freezer old fashioned, spicy margarita mocktail.
    • Negative theme ideas directly supported by visible terms: recipe, recipes, how to make, old fashioned, greyhound, negroni.
  • Pause or bid down low-intent spenders with zero reported conversions from the visible rows.
    • hemp infused seltzer: 1 click, $3.46, 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
    • tost discount code: 1 click, $7.43, 0 conv

Medium-confidence tests

  • Create a high-intent non-brand ad group around product-category buying intent and route it to /collections/best-sellers or the strongest relevant product/collection page.
  • Split ad groups by landing page intent:
    • THC/non-alcoholic drink intent → /collections/non-alcoholic-thc-drinks
    • best seller / broad commercial intent → /collections/best-sellers
    • specific product intent → the matching product page, but only where that page has at least some reported conversion evidence
  • Use exact/phrase isolation for any term that starts converting repeatedly so it is not bundled with broad/AI Max noise.

Low-confidence / measurement-gated ideas

  • I would not expand broad match aggressively from this search terms export because the report is truncated and the visible rows show a lot of irrelevant intent leakage.
  • I would not treat one-click wins as proof. mocktails is promising, but it needs more data before budget expansion.

Landing-page changes

High-confidence actions

  • Make /collections/best-sellers the default destination for broad commercial Search traffic.
  • Pull budget away from generic storefront pages:
    • shop.sipjeng.com/shop/
    • shop.sipjeng.com/
    • try.sipjeng.com/
  • Exclude informational/blog/about/contact pages from paid routing unless a page has actual conversion support.
  • Keep product/category routing tight to query intent. The data supports that some focused product/category pages beat generic shop pages by a wide margin.

Medium-confidence tests

  • Test /collections/non-alcoholic-thc-drinks against /collections/best-sellers for THC/non-alcoholic category intent.
  • Test /products/thc-infused-jeng-and-tonic against the category page for highly specific product-intent terms.
  • If try.sipjeng.com must stay active, rewrite ad routing so only the most qualified traffic lands there; do not use it as a broad destination.

Low-confidence / measurement-gated ideas

  • I cannot recommend page design changes because no screenshots, UX audit, or analytics behavior data were provided.
  • I also cannot confirm whether the different subdomains have different checkout/tracking setups; that should be verified because it may explain some of the conversion disparity.

Measurement caveats

  • The reports conflict materially.
    • Landing page report shows 351.49 conversions.
    • Channel report shows 126.33 conversions.
    • Those are not interchangeable for purchase CPA decisions.
  • The channel report explicitly mixes purchases with other result types such as add to cart, begin checkout, and page view.
  • The search term report includes implausible conversion rows, especially sipjeng with 14 conversions from 2 clicks.
  • Fractional conversions are present in multiple places, which is normal in some attribution models, but it lowers confidence when combined with the report mismatch.
  • Because your goal is lowest CPA for purchase conversions, purchase-only measurement cleanup is a gating task. Until that is fixed, some “good” or “bad” performance may reflect mixed conversion actions rather than true purchases.

Practical implication: I am comfortable recommending destination cleanup, negatives, and PMax containment now. I am not comfortable recommending aggressive scaling based on the current reporting without first isolating purchase-only conversions.

24-hour action list

  1. Cube | New Pmax: pause the campaign, or if you cannot pause it, cut its budget sharply today because the provided report shows $391.91 in the landing page report for 1.00 conversion and $154.22 GDN + $36.98 YouTube + $2.26 Search partners with 0 reported conversions in the channel report.
  2. Cube | New Pmax: if kept live, disable or restrict final URL expansion if available, and limit destinations to /collections/best-sellers, /collections/non-alcoholic-thc-drinks, and /products/thc-infused-jeng-and-tonic.
  3. Cube | New Pmax: add URL exclusions for shop.sipjeng.com/shop/, shop homepage, try.sipjeng.com/, about/contact pages, and zero-conversion blog/news pages if the campaign settings allow exclusions.
  4. Search campaigns using generic storefront URLs: change final URLs from shop.sipjeng.com/shop/ and shop.sipjeng.com/ to https://sipjeng.com/collections/best-sellers for broad commercial traffic.
  5. Search campaigns targeting THC/non-alcoholic beverage intent: set final URL to https://sipjeng.com/collections/non-alcoholic-thc-drinks as a controlled test.
  6. Search campaigns targeting the Jeng and tonic product theme: set final URL to https://sipjeng.com/products/thc-infused-jeng-and-tonic for the matching ad group only.
  7. Any campaign currently sending paid traffic to try.sipjeng.com/: reduce bids or budget immediately until that traffic is proven to beat the stronger collection/product destinations.
  8. Any campaign currently sending paid traffic to shop.sipjeng.com/shop/: stop that routing immediately unless there is a campaign-specific reason and purchase-only data proves it.
  9. Brand Search campaign or ad group: isolate sipjeng and other exact brand terms into exact/phrase only.
  10. Non-brand Search campaign or ad group: add negatives for visible competitor terms: shimmerwood beverages, gaba spirits, melati drinks, wunder drink, cycling frog drinks, drinkbrez llc, little saints negroni, de soi, tost.
  11. Non-brand Search campaign or ad group: add negatives for recipe/informational intent terms visible in the export: recipe, recipes, greyhound, old fashioned, negroni, and how to make if present in actual query logs.
  12. Search keyword/ad group built around broad or AI Max matching: reduce reliance on broad/AI Max where it is producing competitor and recipe leakage; move high-intent themes into exact and phrase.
  13. Conversion settings: verify which exact conversion action is marked primary for bidding and reporting, and confirm whether the exports are using purchase-only or mixed conversion columns.
  14. Reporting setup: pull a fresh purchase-only report by campaign, search term, and landing page before making any budget increase decisions.

7-day validation plan

High-confidence validation

  • Compare purchase-only CPA for traffic routed to:
    • /collections/best-sellers
    • /collections/non-alcoholic-thc-drinks
    • /products/thc-infused-jeng-and-tonic
  • Confirm that spend previously going to /shop/ and /try drops materially after URL changes.
  • Check whether competitor and recipe query impressions/clicks disappear after negatives are added.
  • Verify that brand traffic is isolated and no longer mixed into non-brand reporting.

Medium-confidence validation

  • Test one controlled non-brand exact/phrase ad group against the old broader setup, using the same destination page and purchase-only CPA as the decision metric.
  • Run a controlled destination test:
    • broad commercial terms → /collections/best-sellers
    • THC/non-alcoholic category terms → /collections/non-alcoholic-thc-drinks
  • If PMax remains live, audit the actual landing pages and channel mix after restrictions to ensure it is no longer drifting into weak URLs and non-converting placements.

What success should look like in 7 days

  • Lower share of spend on /shop/, shop homepage, and try.sipjeng.com.
  • Higher share of spend on /collections/best-sellers and the strongest tested category/product destinations.
  • Fewer irrelevant competitor and recipe queries in the search term report.
  • A clean purchase-only CPA view that reconciles at campaign and landing-page level.

Goal summary captured

Your goal was lowest CPA for purchase conversions. Based strictly on the attached reports, the most defensible moves are:

  • Cut waste: contain active PMax, stop sending paid traffic to weak generic destinations, and add negatives for competitor and recipe/informational queries.
  • Concentrate traffic: route more paid Search traffic to /collections/best-sellers, with secondary testing on /collections/non-alcoholic-thc-drinks and /products/thc-infused-jeng-and-tonic.
  • Clean measurement: verify purchase-only conversion reporting before any meaningful scale-up, because the current exports conflict and include obvious anomalies.

If you want, I can turn this into a tighter implementation sheet by priority tier with columns for campaign, object, change, and reason from evidence.

Agent 3 — QA report

VERDICT
approve_with_warnings

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

WHAT WORKED
- Strong alignment to the client goal of lowering CPA for purchase conversions.
- Correctly leads with the biggest caveat: the three reports do not reconcile and conversion scope likely differs.
- Uses the provided evidence well on the highest-confidence findings:
  - Search appears to carry nearly all reported conversion volume.
  - /collections/best-sellers is the strongest landing-page efficiency signal by both scale and CPA.
  - Active Cube | New Pmax shows non-search spend with 0 reported conversions in the channel report.
  - /shop.sipjeng.com/shop/ and try.sipjeng.com are materially weaker than the best collection/product destinations.
- Arithmetic shown is generally correct:
  - Account CPA ≈ $28.25
  - Channel total CPA ≈ $66.08
  - /collections/best-sellers CPA ≈ $4.58
  - /shop.sipjeng.com/shop/ CPA ≈ $110.16
  - try.sipjeng.com CPA ≈ $63.69
- Good skepticism around the search term anomaly (“sipjeng” 14 conversions from 2 clicks).
- Recommendations are mostly prioritized and operational, especially around URL routing, negatives, and measurement cleanup.
- Avoids overclaiming on areas not provided, such as UX/design, device, geo, audience, daypart.

FAILURES
- Overstates some recommendations beyond what the exports can prove:
  - “Pause” the active PMax campaign is stronger than the evidence supports. The evidence supports containment/caution, but because reports conflict and conversion definitions are inconsistent, a hard pause is more aggressive than the data can cleanly justify.
  - “Search is where nearly all reported conversion volume is coming from” is broadly true in the landing-page report, but the report mismatch means this should have been phrased more carefully as “in the provided exports.”
- Some recommendations rely on settings/data not actually shown:
  - “Reduce reliance on broad/AI Max” is plausible, but no keyword settings or match-type totals were provided beyond the truncated search term report. This is more inferred than evidenced.
  - “Disable or restrict final URL expansion if available” is acceptable as a tactical option, but the answer occasionally drifts into implementation assumptions not confirmed in the data.
- A few weak-sample suggestions are still a bit too prominent:
  - /collections/non-alcoholic-thc-drinks (4 conv)
  - /products/thc-infused-jeng-and-tonic (6 conv)
  - /product/collection-sampler-6-pack/ (4 conv)
  These are acknowledged as smaller samples, but the answer still treats them as meaningful scale candidates despite low volume and inconsistent measurement.
- The answer misses a sharper distinction between advertiser-selected and automatic landing pages. That matters because some “good” pages may reflect automatic matching/PMax routing rather than deliberate Search routing control.
- It does not sufficiently address that channel report totals include active and paused campaigns. Some language could mislead the client into thinking current account behavior is entirely represented by those totals.

MISSED EVIDENCE
- The answer does not explicitly use the landing-page network split showing:
  - Search: 350.49 conversions on $9,536.20
  - PMax: 1 conversion on $391.91
  This is one of the strongest direct pieces of evidence for PMax underperformance and could have made the case cleaner than mixing in channel-report contradictions.
- It underuses the fact that the landing-page report account total and landing-page total differ (3,343 clicks vs 3,120 clicks), which is another sign of incomplete/partial landing-page attribution.
- It could have better highlighted that some weak URLs are advertiser-selected versus automatic:
  - /shop.sipjeng.com/shop/ and try.sipjeng.com are advertiser-selected and therefore especially actionable.
- It does not mention the paused historical campaigns with better Google Search CPA in the channel report (e.g. Cube_30Dec_CatchAll_Pmax at ≈ $44 CPA on Google Search) except to say not to revive them. That is defensible, but it misses a nuance: not all PMax-associated history was equally poor in the channel export.
- It could have more explicitly noted that the search term report is truncated, so negative keyword recommendations should be treated as examples/themes, not comprehensive exclusions.

HALLUCINATION CHECK
- No major fabricated metrics detected.
- Most figures cited are traceable to the handoff.
- One notable overreach: “The channel report explicitly mixes purchases with other result types such as add to cart, begin checkout, and page view.” The handoff says the reports show “Conversions” and “Results” and that channel data lists Add to cart, Begin checkout, Page View mixed in channel data, so this is directionally supported, but the answer states it with more certainty than the raw evidence summary warrants.
- “Broad/AI Max” leakage is not directly proven from the provided exports. The irrelevant query mix suggests loose matching, but AI Max specifically is not evidenced.
- “Keep a dedicated brand campaign on exact/phrase” is standard practice and reasonable, but not directly evidenced by report structure. It should be framed as a recommended control, not something the data proves is missing.

REVISION NEEDED
- Soften hard-stop language on PMax:
  - Change “pause” to “contain sharply or pause pending purchase-only validation.”
- Tighten attribution wording:
  - Repeatedly say “in the provided exports” when describing Search dominance and PMax inefficiency.
- Mark low-volume landing page opportunities more conservatively:
  - Position them as tests only, not scale opportunities.
- Clarify that negative keyword additions are examples from visible rows because the search term export is truncated.
- Remove or soften “AI Max” references unless there is explicit evidence from campaign settings/report labels.

FINAL QA SUMMARY
This is a strong, mostly evidence-based answer that matches the ask and gives concrete optimization steps. It correctly prioritizes landing-page routing, PMax containment, query cleanup, and measurement reconciliation. The main weaknesses are occasional overconfidence given conflicting reports, some implementation assumptions not directly shown in the exports, and a few low-sample recommendations presented a bit too assertively. Good enough to send with edits, but not strong enough for a clean 5.

Human feedback






Saved human feedback

No human feedback saved yet.