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Run 2026-03-26-033514-01600de5Mode llmStatus unknownQA completed37,085 est. tokens$0.2151 est. cost

Saved: 2026-03-26T03:35:14.653240+00:00
Model: gpt-5.4
Estimated input/output tokens: 27,293 / 9,792

No status detail.

Processed files

Agent 1 — Intake handoff

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

PROVIDED EVIDENCE
1) Landing page report CSV
- Date range: September 25, 2025 - March 23, 2026
- Columns include: Landing page, Selected by, Clicks, Impr., CTR, Avg. CPC, Cost, Conversions
- Totals:
  - Total landing pages: 3,120 clicks, 147,440 impr, 2.12% CTR, $2.88 avg CPC, $8,984.10 cost, 351.49 conversions
  - Total account: 3,343 clicks, 147,440 impr, 2.27% CTR, $2.97 avg CPC, $9,928.11 cost, 351.49 conversions
  - Total Performance Max: 499 clicks, 30,413 impr, 1.64% CTR, $0.79 avg CPC, $391.91 cost, 1.00 conversion
  - Total Search: 2,844 clicks, 117,027 impr, 2.43% CTR, $3.35 avg CPC, $9,536.20 cost, 350.49 conversions

2) Channel performance / search terms insight report CSV
- Date range: September 25, 2025 - March 23, 2026
- Columns include: Channels, Status, Campaigns, Impr., Clicks, Interactions, Conversions, Conv. value, Cost, Results, Results value
- Totals:
  - All campaigns: 556,348 impr, 3,973 clicks, 69,895 interactions, 126.33 conversions, $10,027.42 conv. value, $8,347.53 cost
  - Google Search total: 214,867 impr, 1,877 clicks, 126.33 conversions, $10,027.42 conv. value, $7,309.65 cost
  - Google Display Network total: 183,361 impr, 1,702 clicks, 0.00 conversions, $492.40 cost
  - YouTube total: 157,826 impr, 389 clicks, 0.00 conversions, $540.58 cost
  - Search partners total: 222 impr, 5 clicks, 0 conversions, $3.31 cost
- Active campaign rows visible:
  - Cube | New Pmax on Google Search: 1,618 impr, 63 clicks, 1.00 conversions, $23.09 conv value, $198.46 cost
  - Cube | New Pmax on GDN: 24,629 impr, 429 clicks, 0 conversions, $154.22 cost
  - Cube | New Pmax on YouTube: 4,107 impr, 5 clicks, 0 conversions, $36.98 cost
  - Cube | New Pmax on Search partners: 59 impr, 2 clicks, 0 conversions, $2.26 cost
- Paused campaign rows visible:
  - Cube_Catch All_OCT on Google Search: 135,613 impr, 1,418 clicks, 94.88 conversions, $9,153.13 conv value, $5,334.65 cost
  - Cube_30Dec_CatchAll_Pmax on Google Search: 72,373 impr, 300 clicks, 28.44 conversions, $715.66 conv value, $1,251.03 cost
  - Cube_Pmax on Google Search: 2,661 impr, 81 clicks, 1.00 conversion, $26.00 conv value, $481.72 cost
  - Cube | PMax - Website Traffic on Google Search: 1,554 impr, 11 clicks, 1.01 conversions, $109.55 conv value, $30.16 cost

3) Search terms report CSV
- Date range: 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.
- File is truncated, so only a subset of search terms is available.

EXTRACTED FACTS
High-performing landing pages by conversion volume / likely CPA
- https://sipjeng.com/collections/best-sellers
  - ADVERTISER: 791 clicks, 55,088 impr, 1.44% CTR, $1.20 CPC, $951.15 cost, 207.65 conv
  - Approx CPA: $951.15 / 207.65 = ~$4.58
  - AUTOMATIC: 2 clicks, 79 impr, $3.20 cost, 1.00 conv
- https://try.sipjeng.com/
  - ADVERTISER: 728 clicks, 21,337 impr, 3.41% CTR, $3.85 CPC, $2,802.50 cost, 44.00 conv
  - Approx CPA: ~$63.69
- https://shop.sipjeng.com/
  - ADVERTISER: 872 clicks, 68,994 impr, 1.26% CTR, $3.71 CPC, $3,231.88 cost, 29.33 conv
  - Approx CPA: ~$110.16
  - Another ADVERTISER row: 438 clicks, 17,308 impr, 2.53% CTR, $3.30 CPC, $1,444.84 cost, 38.50 conv
  - Approx CPA: ~$37.53
  - AUTOMATIC rows: 15 clicks / $28.33 / 0 conv; 1 click / $1.32 / 0.50 conv
- https://sipjeng.com/products/thc-infused-jeng-and-tonic
  - 23 clicks, 450 impr, 5.11% CTR, $5.05 CPC, $116.05 cost, 6.00 conv
  - Approx CPA: ~$19.34
- https://sipjeng.com/blogs/blog/alcohol-alternative-drinks-2025
  - 225 clicks, 2,104 impr, 10.69% CTR, $1.88 CPC, $423.97 cost, 10.00 conv
  - Approx CPA: ~$42.40
- https://sipjeng.com/collections/non-alcoholic-thc-drinks
  - 18 clicks, 507 impr, 3.55% CTR, $3.26 CPC, $58.71 cost, 4.00 conv
  - Approx CPA: ~$14.68
- https://shop.sipjeng.com/product/collection-sampler-6-pack/
  - ADVERTISER: 20 clicks, 13,454 impr, 0.15% CTR, $4.98 CPC, $99.65 cost, 4.00 conv
  - Approx CPA: ~$24.91
  - AUTOMATIC: 14 clicks, 3,238 impr, $43.10 cost, 0.50 conv
- https://sipjeng.com/pages/about
  - 6 clicks, 19 impr, 31.58% CTR, $33.15 cost, 2.00 conv
  - Approx CPA: ~$16.58
- https://sipjeng.com/
  - AUTOMATIC: 30 clicks, 194 impr, 15.46% CTR, $50.45 cost, 2.00 conv
  - Approx CPA: ~$25.23
- https://sipjeng.com/collections/hemp-infused-drinks
  - 12 clicks, 526 impr, $62.02 cost, 1.00 conv
  - Approx CPA: ~$62.02

Landing pages spending with weak/no purchase output
- /products/thc-infused-paloma AUTOMATIC: 8 clicks, $61.39, 0 conv
- /collections/cbd-infused-drinks AUTOMATIC: 20 clicks, $77.91, 0 conv
- /product/spicy-blood-orange ADVERTISER: 32 clicks, $124.98, 1 conv → CPA ~$124.98
- /collections/functional-beverages AUTOMATIC: 6 clicks, $35.39, 0 conv
- /meet-jeng... news/blog page: 6 clicks, $37.63, 0 conv
- /about on shop subdomain ADVERTISER: 3 clicks, $24.38, 0 conv
- /contact on shop subdomain ADVERTISER: 5 clicks, $20.05, 0 conv
- Several blog/info pages get spend and no conv:
  - /blogs/blog/drinks-to-replace-alcohol: 14 clicks, $14.07, 0 conv
  - /blogs/blog/why-cbd-is-the-best-alcohol-alternative...: 6 clicks, $14.27, 0 conv
  - /blogs/blog/whats-the-buzz-about-cbd-infused-cocktails...: 4 clicks, $14.07, 0 conv
  - /blogs/news/meet-jeng...: 6 clicks, $37.63, 0 conv

Campaign/channel effectiveness
- Search is carrying almost all conversions:
  - Search total: 126.33 conv on $7,309.65 spend
  - GDN: 0 conv on $492.40
  - YouTube: 0 conv on $540.58
- Within visible campaign data:
  - Paused Cube_Catch All_OCT Search produced 94.88 conv on $5,334.65
    - Approx CPA: ~$56.23
  - Paused Cube_30Dec_CatchAll_Pmax Search produced 28.44 conv on $1,251.03
    - Approx CPA: ~$43.99
  - Active Cube | New Pmax Search produced 1 conv on $198.46
    - Approx CPA: ~$198.46
  - Active Cube | New Pmax GDN/YouTube spend has 0 conv

Search term findings from visible rows
- Branded term “sipjeng” in Cube_Search_W:
  - 2 clicks, 2 impr, 100% CTR, $0.17 CPC, $0.34 cost, 14.00 conversions, cost/conv $0.02
  - This is anomalous/improbably high; likely fractional/data-attribution issue, but directionally indicates brand is very efficient.
- “mocktails”:
  - 1 click, 36 impr, $0.85 cost, 1.00 conv, cost/conv $0.85
  - Very low volume; promising but insufficient sample.
- Wasteful or irrelevant-looking visible queries with spend and no conversions:
  - “tost discount code” 1 click, $7.43, 0 conv
  - “cbd drinks 50 mg” 1 click, $10.35, 0 conv
  - “nootropic drinks to replace alcohol” 4 clicks, $9.03, 0 conv
  - “relaxing drinks instead of alcohol” 1 click, $3.75, 0 conv
  - “hemp infused seltzer” 1 click, $3.46, 0 conv
- Many visible terms are competitor or irrelevant/upper-funnel:
  - shimmerwood beverages, gaba spirits, melati drinks, wunder drink, cycling frog drinks, little saints negroni, seth rogen seltzer, athletic brewing seltzer, where to buy de soi, etc.
- Search term report includes multiple match types: Broad match, Phrase match, AI Max, Performance Max, exact close variants.

OBSERVED METRICS
Derived CPAs from provided evidence
- Account total landing pages CPA: $8,984.10 / 351.49 = ~$25.56
- Search total landing page CPA: $9,536.20 / 350.49 = ~$27.21
- PMax total landing page CPA: $391.91 / 1 = $391.91
- Channel report all campaigns CPA: $8,347.53 / 126.33 = ~$66.08
- Google Search total CPA from channel report: $7,309.65 / 126.33 = ~$57.86
- GDN and YouTube CPA: no purchases
Major contradiction:
- Landing page report shows 351.49 conversions total
- Channel report shows 126.33 conversions total
- Likely different conversion definitions / attribution / included actions, but not resolvable from evidence alone

GAPS/UNCERTAINTY
- No screenshots were actually provided; only CSV text exports.
- Third report is truncated, so search-term optimization can only be partial.
- No campaign-level spend/conversion breakdown for standard Search campaigns like Cube_Search_Brand or Cube_Search_W, only search-term rows and some channel/campaign rows.
- No explicit confirmation that “Conversions” in all reports equals purchase only. Channel report’s “Results” includes page views, add to carts, begin checkouts, and purchases. Landing page report only says “Conversions,” not conversion action.
- Material discrepancy between 351.49 conversions in landing page report and 126.33 conversions in channel report suggests inconsistent reporting basis.
- No device, geo, audience, asset group, ad copy, bidding strategy, budget, or impression share data.
- No profitability target or acceptable CPA threshold was given.
- No website URL entered in the form, though URLs exist inside reports.
- Multiple subdomains/domains are in use: sipjeng.com, shop.sipjeng.com, try.sipjeng.com. No clarity on which is preferred for purchase flow.
- “Selected by” values ADVERTISER vs AUTOMATIC vs UNKNOWN indicate URL expansion/automation effects, but there is no campaign mapping to know where to disable or constrain.
- Some rows have fractional conversions (e.g., 29.33, 38.50, 0.50, 1.01, 14.00), indicating data-driven attribution or mixed conversion modeling.

RECOMMENDED ANALYSIS ANGLE
Focus Agent 2 on practical CPA-reduction actions with explicit caveats about reporting inconsistency:
1) Reallocate toward proven landing pages:
- Scale /collections/best-sellers aggressively; it is the standout lowest-CPA, highest-volume page.
- Keep/expand pages with decent early CPA: /collections/non-alcoholic-thc-drinks, /products/thc-infused-jeng-and-tonic, /product/collection-sampler-6-pack, homepage, /pages/about only if validated with more volume.
- Deprioritize /try.sipjeng.com and the high-cost /shop.sipjeng.com variants unless they are strategically necessary, because CPA is much higher than best-sellers.

2) Cut waste from low/no-converting destinations:
- Exclude or downweight blog/news/info/contact/about/store-locator/stockists pages from paid traffic, especially automatically selected landing pages.
- Exclude poor product pages with spend but no/weak conversion: THC paloma, CBD-infused drinks collection, functional beverages, spicy blood orange unless there is strategic inventory reason.

3) Tighten PMax / network sprawl:
- Strong evidence that non-Search inventory is not driving purchases in the channel report.
- Recommend shrinking or isolating PMax, excluding/limiting final URL expansion if possible, and preventing traffic to informational pages.
- Active Cube | New Pmax appears inefficient versus paused search-heavy campaigns.

4) Search query hygiene:
- Mine and add negatives for competitor and irrelevant terms visible in search term report.
- Separate brand from non-brand if not already cleanly separated; brand looks extremely efficient.
- Reduce broad/AI Max looseness on non-brand where many irrelevant competitor queries appear.
- Build exact/phrase around proven intent themes suggested by converting landing pages: best sellers, non alcoholic THC drinks, Jeng and tonic, sampler/starter packs.

5) Flag data quality first:
- Agent 2 should explicitly warn that optimization confidence is limited because “purchase conversions” do not reconcile across reports.
- Recommend first verifying primary conversion action and report attribution before major budget changes.

Agent 2 — Client output

Executive diagnosis

Your lowest-CPA path is clearly Search, but the reports do not reconcile cleanly on what counts as a conversion, so I would treat this as a purchase-focused cleanup plus controlled reallocation exercise, not a blind scale-up.

Two reporting views conflict materially:

  • Landing page report: $8,984.10 spend and 351.49 conversions on landing pages, which implies about $25.56 per reported conversion.
  • Channel report: $8,347.53 spend and 126.33 conversions total, which implies about $66.08 per reported conversion.

That gap is too large to ignore. The channel report explicitly shows mixed result types such as page views, add to carts, begin checkouts, and purchases. The landing page report only says “Conversions.” So for a lowest purchase CPA goal, some of the strongest-looking rows are directionally useful, but not fully purchase-validated.

What is still clear enough to act on:

  • High confidence Non-Search inventory is not producing reported conversions in the channel report and should be constrained.
  • High confidence Active PMax is weak versus the paused Search-heavy campaigns shown.
  • High confidence A large amount of traffic is going to weak informational or low-output landing pages, especially automatically selected URLs.
  • Medium confidence /collections/best-sellers is the strongest destination in the landing page report by a wide margin and should be the default paid destination to lean into.

Biggest waste to cut

High-confidence / no-regret cuts

  • Cut or heavily restrict active PMax non-Search inventory. In the channel report, active Cube | New Pmax shows:
    • Google Display Network: $154.22 spend, 0.00 conversions
    • YouTube: $36.98 spend, 0.00 conversions
    • Search partners: $2.26 spend, 0.00 conversions
    That is $193.46 of visible active spend outside Search with no reported conversions.
  • Do not let paid traffic keep routing to weak automatic URLs. The landing page report shows automatic spend on pages with no reported conversions, including:
    • /products/thc-infused-paloma: $61.39 / 0
    • /collections/cbd-infused-drinks: $77.91 / 0
    • /collections/functional-beverages: $35.39 / 0
    • /blogs/news/meet-jeng-the-alcohol-free-hemp-infused-beverage-for-cocktail-lovers: $37.63 / 0
    • /blogs/blog/drinks-to-replace-alcohol: $14.07 / 0
    • /blogs/blog/why-cbd-is-the-best-alcohol-alternative-for-a-hangover-free-good-time: $14.27 / 0
    • /blogs/blog/whats-the-buzz-about-cbd-infused-cocktails-an-in-depth-look-at-this-popular-trend: $14.07 / 0
  • Stop paying for contact/about/store-locator type destinations unless they are deliberate brand tests. Examples:
    • shop.sipjeng.com/contact/ advertiser row: $20.05 / 0
    • shop.sipjeng.com/about/ advertiser row: $24.38 / 0
    • sipjeng.com/pages/store-locator: $6.22 / 0
    • sipjeng.com/pages/stockists: $2.34 / 0

Medium-confidence directional waste cuts

  • Reduce exposure to the weak active PMax Search slice. Active Cube | New Pmax on Google Search spent $198.46 for 1.00 conversion, implying about $198.46 CPA. That is far worse than the visible paused Search campaign rows:
    • Cube_Catch All_OCT: $5,334.65 / 94.88 ≈ $56.23
    • Cube_30Dec_CatchAll_Pmax on Google Search: $1,251.03 / 28.44 ≈ $43.99
    Because the reports mix attribution and result definitions, I would not fully judge winners by these alone, but this gap is large enough to act on.
  • Deprioritize expensive destinations that are materially above your best observed destination CPA.
    • try.sipjeng.com/: $2,802.50 / 44.00 ≈ $63.69
    • shop.sipjeng.com/ advertiser row: $3,231.88 / 29.33 ≈ $110.16
    These may still have a role, but they are not your best CPA path in the evidence provided.

Scale opportunities

Medium-confidence directional tests

  • Push more paid traffic to /collections/best-sellers. This is the clearest destination-level winner in the landing page report:
    • Advertiser-selected row: 791 clicks, $951.15 spend, 207.65 conversions
    • Implied CPA: $951.15 / 207.65 ≈ $4.58
    That is dramatically lower than account-level implied CPA in the same report. Because the conversion definition is still not confirmed as purchase-only, I would not call this settled purchase proof, but it is the strongest directional signal in the data.
  • Keep testing product/category pages that show reasonable early CPA and actual volume.
    • /collections/non-alcoholic-thc-drinks: $58.71 / 4.00 ≈ $14.68
    • /products/thc-infused-jeng-and-tonic: $116.05 / 6.00 ≈ $19.34
    • /product/collection-sampler-6-pack/ advertiser row: $99.65 / 4.00 ≈ $24.91
    These are better candidates for controlled scaling than broad routing to the general shop or try subdomains.
  • Use the strong informational page only as a controlled test, not as a major scale lane.
    • /blogs/blog/alcohol-alternative-drinks-2025: $423.97 / 10.00 ≈ $42.40
    That is not bad relative to some other pages, but it is still much weaker than /collections/best-sellers and may be inflated by non-purchase conversion reporting.

Low-confidence / measurement-gated ideas

  • Brand expansion looks promising but the visible search-term row is anomalous. The term sipjeng shows 2 clicks and 14.00 conversions with $0.34 spend. That is not a normal click-to-conversion relationship, so I would treat it as a measurement or attribution artifact. Directionally, brand is likely efficient. Operationally, it means protect brand coverage, but do not use that row alone to justify aggressive budget moves.
  • mocktails is a positive signal, not a scale-ready winner. It shows 1 click, 1.00 conversion, $0.85 spend. Good signal, tiny sample.

Campaign-level changes

High-confidence / no-regret

  • Reduce active PMax budget first, and prioritize Search budget. Based on visible rows, active Cube | New Pmax spent:
    • Search: $198.46 for 1.00 conversion
    • GDN + YouTube + Search partners: $193.46 for 0 conversions
    If that campaign is still active at similar behavior, it should not be your primary CPA engine.
  • If final URL expansion or automatic landing-page selection is enabled in PMax, restrict it. The landing page report shows many automatic selections sending paid traffic to blogs, news pages, about/contact pages, and weak product/category pages. If that setting is on, constrain URLs to your proven commercial pages only.
  • Favor Search-only coverage for purchase capture. In the channel report:
    • Google Search total: $7,309.65 / 126.33 ≈ $57.86
    • Google Display Network total: $492.40 / 0
    • YouTube total: $540.58 / 0
    For a lowest CPA purchase goal, non-Search channels have no support in this export.

Medium-confidence directional tests

  • Rebuild around the best paused Search structure rather than relying on current active PMax. The visible paused Search-heavy campaign rows materially outperform active PMax Search:
    • Cube_Catch All_OCT: ≈ $56.23 per reported conversion
    • Cube_30Dec_CatchAll_Pmax on Google Search: ≈ $43.99 per reported conversion
    • Cube | New Pmax on Google Search: ≈ $198.46 per reported conversion
    I would not simply re-enable old campaigns unchanged, but I would use their keyword/query/landing-page logic as the baseline for a purchase-focused Search rebuild.
  • Separate brand and non-brand budgets if they are not already tightly isolated. The search-term report shows brand traffic appearing in Cube_Search_Brand and also in Cube_Search_W. That is a control issue. Brand should have its own budget, exact/phrase coverage, and dedicated landing pages.

Ad group/keyword/search-term changes

High-confidence / no-regret

  • Add negatives for competitor-intent buckets showing up in brand/non-brand search terms. Visible examples include:
    • shimmerwood beverages
    • gaba spirits
    • melati drinks
    • wunder drink
    • cycling frog drinks
    • little saints negroni
    The report is truncated, so I would not turn this into a giant exact-match negative list from the sample alone. Instead, add a competitor negative pattern set where competitor conquesting is not intentional.
  • Block weak informational intent from purchase campaigns. Visible queries indicate broad matching into upper-funnel or irrelevant intent:
    • valentines cocktail recipes
    • greyhound drink
    • monte carlo cocktail
    • freezer old fashioned
    Those should not sit inside a lowest-CPA purchase campaign unless they have separate budgets and landing pages.
  • Tighten non-brand match types. The visible report includes Broad match, AI Max, phrase close variants, and PMax search-term matching. Given the amount of irrelevant competitor and generic cocktail traffic, non-brand should move tighter: exact and phrase around commercial intent themes, with broad reserved only for tightly supervised testing.

Medium-confidence directional tests

  • Build or tighten exact/phrase keyword clusters around the strongest commercial themes implied by landing-page performance. Candidate themes supported by destination data:
    • best sellers
    • non alcoholic thc drinks
    • jeng and tonic
    • sampler pack / starter pack
    I am intentionally keeping these as theme buckets because the report does not show enough exact converting search terms to claim specific winning keywords.
  • Review and likely negative weak query buckets that already spent without conversion. Agent 1 surfaced visible examples from the search-term export such as discount-code, high-dose CBD, and generic alcohol-replacement queries. Because the term file is truncated, treat this as a pattern audit:
    • discount-code intent
    • high-dose CBD spec shoppers
    • broad “replace alcohol” research intent
    • generic hemp seltzer discovery intent
  • Keep brand exact and phrase fully covered. Even with the anomalous conversion row, brand clicks are very cheap in the visible data, so brand should not be left to broad/AI Max leakage.

Landing-page changes

High-confidence / no-regret

  • Make /collections/best-sellers the primary paid destination for broad commercial traffic. It has the best combination of volume and implied CPA in the landing page report.
  • Stop routing paid traffic to blog/news/about/contact/store-locator pages by default. Those pages can exist for SEO and content discovery, but they are not supported as lowest-CPA paid destinations in the data provided.
  • Constrain general shop routing. The two advertiser rows for shop.sipjeng.com/ are inconsistent in efficiency:
    • $3,231.88 / 29.33 ≈ $110.16
    • $1,444.84 / 38.50 ≈ $37.53
    Since both point to a broad shop route, I would still prefer more specific category/product landing pages first.

Medium-confidence directional tests

  • Prioritize destination tests in this order:
    1. /collections/best-sellers
    2. /collections/non-alcoholic-thc-drinks
    3. /products/thc-infused-jeng-and-tonic
    4. /product/collection-sampler-6-pack/
    5. try.sipjeng.com/ only if it is strategically required and purchase tracking is validated
  • Treat sipjeng.com/pages/about and the homepage as assistive pages, not scale destinations. Their visible implied CPAs look decent:
    • /pages/about: $33.15 / 2.00 ≈ $16.58
    • / automatic row: $50.45 / 2.00 ≈ $25.23
    But volume is too small to use as primary evidence.

Measurement caveats

This is the gating issue for a true purchase-CPA optimization plan.

  • The reports conflict. Landing page conversions total 351.49, while channel report conversions total 126.33 for the same date range.
  • The channel report mixes result types. It explicitly lists page views, add to carts, begin checkouts, and purchases in the same export.
  • Some rows are fractional. Examples include 29.33, 38.50, 1.01, and 0.50, which suggests modeled or attributed conversions rather than simple last-click counts.
  • Some rows are behaviorally anomalous. The visible sipjeng term shows 14.00 conversions on 2 clicks. That can happen in imported or modeled reporting, but it lowers confidence for exact keyword-level purchase conclusions.

Practical implication: I am comfortable recommending waste cuts and traffic-control changes now. I am not comfortable declaring purchase winners with full certainty until you confirm the primary purchase conversion action and rerun reports on a purchase-only basis.

24-hour action list

  1. Cube | New Pmax: reduce budget sharply or pause if Search coverage exists elsewhere; this campaign shows $198.46 on Google Search for 1.00 conversion and $193.46 outside Search for 0 conversions.
  2. Cube | New Pmax: verify whether final URL expansion or automatic URL targeting is enabled; if enabled, restrict traffic to /collections/best-sellers, /collections/non-alcoholic-thc-drinks, /products/thc-infused-jeng-and-tonic, and /product/collection-sampler-6-pack/.
  3. Paid landing-page controls: exclude or stop sending paid traffic to /products/thc-infused-paloma, /collections/cbd-infused-drinks, /collections/functional-beverages, blog/news pages with spend and zero reported conversions, shop.sipjeng.com/contact/, and shop.sipjeng.com/about/.
  4. Search campaigns: make /collections/best-sellers the default landing page for broad commercial non-brand traffic until purchase-only reporting proves a better destination.
  5. Brand control: isolate brand terms into a dedicated brand campaign/ad group structure and add brand negatives to non-brand where needed so sipjeng-type traffic does not leak into general campaigns.
  6. Negative keyword build: add competitor-intent negatives where conquesting is not intentional, starting with the visible competitor bucket examples from the search-term report.
  7. Negative keyword build: add informational-recipe negatives in purchase campaigns, based on visible query examples like cocktail recipes and named cocktail terms.
  8. Match-type control: reduce broad/AI Max exposure in non-brand search and shift active testing toward phrase/exact around commercial product/category themes.
  9. Reporting cleanup: pull one purchase-only report by campaign, search term, and landing page for the same date range so budget moves can be validated against purchases only.

7-day validation plan

  1. Validate measurement first. Confirm the exact primary purchase conversion included in bidding and reporting. Then compare purchase-only totals across campaign, landing page, and search term views for the same date range.
  2. Monitor post-cut spend concentration. After reducing active PMax and blocking weak URLs, check whether spend consolidates into Search and into the approved commercial landing pages.
  3. Compare destination CPA on purchase-only reporting. Specifically compare:
    • /collections/best-sellers
    • /collections/non-alcoholic-thc-drinks
    • /products/thc-infused-jeng-and-tonic
    • /product/collection-sampler-6-pack/
    • try.sipjeng.com/
    • shop.sipjeng.com/
  4. Check search term leakage daily. Because the supplied report is truncated, the real waste list is probably larger than the visible sample. Review fresh search terms for competitor names, discount-code intent, recipe intent, and generic alcohol-alternative research intent.
  5. Use small-budget validation for any apparent winner with tiny sample size. Do not scale mocktails, homepage, or about-page traffic aggressively off the current evidence alone.
  6. Benchmark against the visible Search baseline. As a rough directional benchmark, your channel-level Google Search implied CPA is $7,309.65 / 126.33 ≈ $57.86. Any active campaign materially above that after cleanup needs another cut or tighter targeting.

Goal summary captured

Your stated goal is lowest CPA for purchase conversions. Based on the evidence provided, the safest operator move is:

  • cut non-Search and weak active PMax spend,
  • stop automatic routing to informational and low-output URLs,
  • concentrate Search traffic on the strongest commercial landing pages, especially /collections/best-sellers,
  • tighten non-brand query matching and add negatives for competitor and informational waste,
  • and clean up purchase measurement before making any major scale decision.

If you want, I can turn this into a tighter execution sheet with exact “pause / restrict / negative / landing page swap” actions by object name only.

Agent 3 — QA report

VERDICT
approve_with_warnings

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

WHAT WORKED
- The answer stayed focused on the client ask: specific Google Ads optimizations aimed at lowering CPA.
- It used many of the provided figures correctly, including:
  - landing page total CPA ≈ $25.56
  - channel total CPA ≈ $66.08
  - Search CPA from channel report ≈ $57.86
  - visible active PMax Search CPA ≈ $198.46
  - paused campaign CPAs ≈ $56.23 and ≈ $43.99
  - /collections/best-sellers CPA ≈ $4.58
- It appropriately called out the major reporting inconsistency between 351.49 conversions in the landing page report and 126.33 conversions in the channel report.
- It generally respected the instruction to use only the reports and caveated that “purchase” is not fully validated in the exports.
- It gave practical actions: restrict PMax, tighten URL routing, add negatives, separate brand/non-brand, prioritize better destinations.

FAILURES
- It overstates certainty in a few places given the evidence conflict. Example: “Your lowest-CPA path is clearly Search.” Search is clearly the only channel with reported conversions in the channel report, but the answer blurs “reported conversions” with “purchase CPA” even after admitting conversion definitions may differ. That should be framed more cautiously.
- It recommends making /collections/best-sellers the default landing page for broad commercial non-brand traffic. That is plausible, but still not purchase-validated. Given the huge discrepancy between reports, this should be a test priority, not a broad default recommendation stated multiple times.
- It cites some URL examples that are not clearly present in the provided extracted facts. Specifically, “sipjeng.com/pages/store-locator: $6.22 / 0” was not in Agent 1’s extracted facts and is not visible in the included CSV excerpt. That is a grounding problem.
- It claims “The channel report explicitly lists page views, add to carts, begin checkouts, and purchases in the same export.” Agent 1 said the channel report has columns including Results and Results value and noted that “Results includes page views, add to carts, begin checkouts, and purchases.” But the visible evidence provided here does not show those result-type rows directly. This is close to supported via Agent 1’s handoff, but phrased too definitively for something not shown in the visible rows.
- It suggests “add brand negatives to non-brand where needed” and “brand traffic appearing in Cube_Search_Brand and also in Cube_Search_W. That is a control issue.” This is directionally fine, but campaign leakage cannot be fully diagnosed from one anomalous brand term row in a truncated search-term file.
- It does not sufficiently prioritize based on spend impact. The strongest no-regret cuts are GDN/YouTube/PMax URL expansion; some low-spend examples like stockists/about/contact/store-locator are included with the same rhetorical weight even though they are immaterial compared with $2.8k try.sipjeng and $3.2k shop.sipjeng routes.

MISSED EVIDENCE
- It did not explicitly mention the total landing-page Search vs PMax split from report 1:
  - Search: 350.49 conversions on $9,536.20
  - PMax: 1 conversion on $391.91
  This is very relevant and would strengthen the recommendation to constrain PMax using the landing page report itself, not only the channel report.
- It could have leaned more on “Selected by” evidence. The ADVERTISER vs AUTOMATIC distinction is one of the strongest available levers, and the answer mentions automatic URLs but does not explicitly tie recommendations to disabling/fencing automatic expansion based on that field.
- It did not mention that some apparently “good” pages have tiny sample sizes and should not be promoted beyond test status:
  - /pages/about with 2 conversions on 6 clicks
  - homepage automatic with 2 conversions on 30 clicks
  It caveated this later, but the recommendations list still risks overweighting them.
- It did not call out that /try.sipjeng.com and /shop.sipjeng.com may reflect different funnels/subdomains with different purposes, so direct CPA comparisons could be affected by journey differences. That ambiguity matters before making aggressive route changes.
- It did not use conv. value at all. Since the ask is lowest CPA, that is acceptable, but some recommendations against certain campaigns could be tempered by the fact that visible paused campaigns had very different conversion value efficiency. For example:
  - Cube_Catch All_OCT: $9,153.13 conv value on $5,334.65
  - Cube_30Dec_CatchAll_Pmax Search: only $715.66 on $1,251.03
  The answer treats the latter as better because CPA is lower, but the much lower conversion value suggests these may not be equivalent conversion mixes or order values.

HALLUCINATION CHECK
- Possible unsupported citation: “sipjeng.com/pages/store-locator: $6.22 / 0.” This was not in the extracted facts and is not visible in the pasted CSV portion. This should be removed unless directly present in the source.
- Mildly overclaimed: “The channel report explicitly shows mixed result types such as page views, add to carts, begin checkouts, and purchases.” This came from Agent 1’s interpretation, not the visible rows themselves. It is likely derived from the export structure, but still should be framed as “per the report export notes” or “appears to include.”
- The rest is mostly grounded in the handoff and arithmetic checks out.

REVISION NEEDED
- Remove any examples not directly supported by the provided rows, especially the store-locator example unless sourced.
- Soften certainty around “Search is clearly the lowest-CPA path” to “Search is the only channel with reported conversions in the channel report, so it is the strongest available direction.”
- Reframe /collections/best-sellers from a default rollout to the top landing-page test priority until purchase-only conversion reporting is confirmed.
- Add one clearer prioritization section by impact:
  1) cut non-Search PMax/GDN/YouTube waste,
  2) restrict automatic URL expansion,
  3) shift paid traffic toward proven commercial pages,
  4) tighten search term matching and negatives,
  5) validate purchase-only measurement.
- Note that campaign comparisons using CPA may be distorted by conversion-definition inconsistency and differing conversion values.

FINAL QA SUMMARY
Strong operator-style response with useful recommendations and mostly correct arithmetic, but not clean enough for full approval. Main issues are overconfidence despite unresolved conversion-definition conflicts, one likely unsupported landing-page example, and insufficient emphasis that several “winners” are only directional because purchase tracking is not validated across reports. Good enough to use with caution after a light revision.

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