Saved: 2026-03-26T18:44:38.161566+00:00
Model: gpt-5.4
Estimated input/output tokens: 30,009 / 9,387
CLIENT ASK Optimize Meta campaigns and creative for purchase conversion so the account gets closer to or better than a max CPO/CPA of $100 for sipjeng. Client wants practical operator-style recommendations focused on conversion. PROVIDED EVIDENCE 1) Website crawl for https://www.sipjeng.com 2) Meta ad-level CSV: “Jeng Meta Ads.csv” 3) Meta ad set-level CSV: “Jeng Meta Ad Set.csv” 4) Meta campaign-level CSV: “Jeng Meta Campaign Report.csv” No screenshots were actually provided in the prompt. Evidence is tabular/text only. EXTRACTED FACTS Business / offer facts from site - Brand/product: Jeng — alcohol-free, hemp-infused sparkling soft cocktails. - Strong site trust / offer messaging: - “Rated 4.8/5” - “Over 12,000 Happy Customers” in cart area - Also elsewhere “Over 10,000 Happy Customers” and “Join 10,000+ happy customers” — inconsistency in customer count. - “Happiness Guarantee. Love it or it’s on us.” - Promo / economics: - “Spend $90 and get free shipping” - “15% off sitewide today applied at checkout” - Subscribers: “First-time subscribers get 30% off with code WELCOME20. Plus, enjoy 10% off every order.” - Product pricing examples: - Starter Kit (6-Pack) $38 - Sweet Spot Pack (16-Pack) $92 - Party Pack (24-Pack) $132 - Mix & Match Your Way (24-Pack) $132 - Moscow Mule Megadose $32 - Micro Mega Mix (16-Pack) $112 - Single flavor packs often $26 - Gift box $46 - Positioning/messaging: - 3MG THC / 6MG CBD products; some 10MG THC product. - “10 mins onset”, “No Alcohol”, “No Hangover”, “Natural Real Ingredients” - “Born in Montauk” - “Classic cocktails with a THC twist” - Social proof / PR: Vanity Fair, Oprah, Buzzfeed, Vogue, Cosmopolitan, People. - Implication for conversion: - AOV may naturally cluster around $92-$132 bundles due to free shipping threshold and featured packs. - Entry product exists at $38, which could create lower AOV first-purchase behavior. Meta account structure facts visible - Most campaigns/ad sets in reports are inactive or not delivering. - Reporting window shown in campaign and ad set exports: 2026-02-23 to 2026-03-24. - Objective in active rows shown is Sales. - Attribution often: 7-day click, 1-day view, or 1-day engaged-view; some rows show 7-day click or 1-day view. - Account name: Jeng Ad Account. - Campaign names visible: - Cube_DetailedTargeting_ATC_Mar26 - Cube_Remarketing_March2026 - RemarketingCampaign_Feb26 _NewLaunch - Cube_openINT_Mar20,2026 - plus many inactive legacy campaigns. Ad-level performance facts clearly visible 1) “Video ad 5” in ad set “Female | 30-60 | US | english” under campaign Cube_DetailedTargeting_ATC_Mar26 - Delivery: not_delivering - Results: 14 add to carts (result indicator = add to cart) - Cost per result: $6.58214286 per ATC - Spend: $92.15 - Impressions: 1,594 - Reach: 1,309 - Frequency: 1.2177 - CPM: $57.81 - Result value: $457.65 (ATC conversion value, not purchase revenue) - CTR (link): 6.5872% - CPC (link): $0.8776 - CTR (all): 9.0339% - CPC (all): $0.6399 - Unique outbound clicks: 91 - Unique link clicks: 96 - Landing page views: 81 - Cost per LPV: $1.137654 - Adds to cart: 14 - Adds of payment info: 4 - Checkouts initiated: 4 - Purchases: 0 visible on this row - Quality ranking: Above average - Engagement ranking: Above average - Conversion rate ranking: Average - Purchases rate per link clicks: 0 - Landing page views rate per link clicks: 77.14% - 3-second video plays: 830 - Video avg play time: 00:00:09 - Plays at 25/50/75/95/100%: 361 / 231 / 155 / 112 / 99 Interpretation: strong click + mid-funnel engagement, but no purchase conversion observed. 2) “Video ad 5 – Copy” in ad set “Cube_SV,ATC,IC,FB/IG engagers, Video viewers” under campaign Cube_Remarketing_March2026 - Delivery: inactive - Results: 1 purchase - Cost per result / purchase: $205.70 - Spend: $205.70 - Impressions: 1,937 - Reach: 1,380 - Frequency: 1.4036 - CPM: $106.20 - Purchase ROAS: 0.21405 - Results value / purchase conversion value: $44.03 - Result rate: 0.05162623 - CTR (link): 2.3232% - CPC (link): $4.5711 - CTR (all): 3.4073% - CPC (all): $3.1167 - Unique outbound clicks: 41 - Unique link clicks: 43 - Landing page views: 36 - Cost per LPV: $5.713889 - Adds to cart: 2 - Cost per ATC: $102.85 - Adds to cart conversion value: $88.06 - Checkouts initiated: 4 - Cost per checkout initiated: $51.425 - Checkouts initiated conversion value: $64.3 - Direct website purchases: 1 - Cost per purchase: $205.70 - Average purchase value: $44.03 - Conversion rate ranking: Below average - Bottom 35% of ads - Quality ranking: Average - Engagement ranking: Average - Purchases rate per link clicks: 2.22% - Purchases rate per LPV: 2.78% - 3-second video plays: 647 - Avg play time: 00:00:05 - Plays at 25/50/75/95/100%: 209 / 119 / 73 / 59 / 55 Interpretation: remarketing creative produced a purchase, but economics are far below target due to high CPM/CPC and low AOV. 3) “Video ad 3 – Copy” in same remarketing ad set/campaign - Delivery: not_delivering - Results: 3 purchases - Cost per purchase: $21.29333333 - Spend: $63.88 - Impressions: 761 - Reach: 517 - Frequency: 1.4720 - CPM: $83.94 - Purchase ROAS: 3.451002 - Results value: $220.45 - Result rate: 0.39421813 - CTR (link): 2.2339% - CPC (link): $3.7576 - CTR (all): 2.8909% - CPC (all): $2.9036 - Unique outbound clicks: 16 - Unique link clicks: 17 - Landing page views: 11 - Cost per LPV: $5.807273 - Adds to cart: 4 - Cost per ATC: $15.97 - Adds to cart conversion value: $253.73 - Checkouts initiated: 10 - Cost per checkout initiated: $6.388 - Checkouts initiated conversion value: $307.3 - Direct website purchases: 3 - Purchase conversion value: $220.45 - Average purchase conversion value: $73.48 - Purchases rate per link clicks: not fully visible in snippet, but high relative to click volume - Purchases rate per LPV appears extremely high due to only 11 LPVs and 3 purchases (possible attribution/view-through effect or tracking mismatch) - 3-second video plays: 240 - Avg play time: 00:00:06 - Plays at 25/50/75/95/100%: 117 / 71 / 31 / 13 / 11 Interpretation: best visible purchase ad by far; under $100 CPA and >3x ROAS, but on tiny spend and sample size. 4) RemarketingCampaign_Feb26 _NewLaunch ads - Several static/subscription ads spent little or moderate amounts with 0 purchases. - Example “Feb_2026_2_static”: - Spend $146.57 - Impressions 3,044 - Reach 1,675 - Frequency 1.8173 - CPM $48.15 - Link clicks 51 - LPVs 35 - Cost per LPV $4.187714 - Adds to cart 4 - Cost per ATC $36.6425 - Checkouts initiated 4 - Cost per checkout initiated $51.425? (field alignment suggests 4 checkouts, some ambiguity) - Purchases 0 - 3-second video plays rate per impressions 68.63% - Example “Subscription_Ad”: - Spend $1.52 - Reach 45 - Impressions 46 - 3 link clicks - 3 LPVs - Cost per LPV $0.506667 - 0 purchases - Example “Feb_2026_4_Static”: - Spend $0.44 - Impressions 7 - 0 clicks/purchases Ad set/campaign facts - “openINT_20mar2026” ad set in Cube_openINT_Mar20,2026: - Spend $60.57 - Impressions 1,089 - Reach 760 - Frequency 1.4329 - CPM $55.62 - Clicks all 18 - CPC all $3.365 - CPC link $7.57125 - CTR all 1.6529% - CTR link 0.7346% - Landing page views 7 - Cost per LPV $8.652857 - Adds to cart 8 - ATC cost $7.57125 - Checkouts initiated 2 - Cost per checkout initiated $30.285 - Purchases 1 - Cost per purchase $60.57 - Purchase conversion value $46 - Purchases rate per link clicks 12.5%? visible near end as 12.947658 may instead be 3-second play rate; exact purchase-rate field alignment slightly uncertain. - Average purchase conversion value $46 - Campaign-level row for Cube_openINT_Mar20,2026 mirrors same metrics; likely only one active ad set in period. - Many other campaigns listed with $0 spend and no data. OBSERVED METRICS Visible purchase-driving units under/over target - Under target: - “Video ad 3 – Copy” remarketing: CPA $21.29, 3 purchases, ROAS 3.45, spend $63.88, avg order value $73.48. - “openINT_20mar2026” ad set / Cube_openINT_Mar20,2026 campaign: CPA $60.57, 1 purchase, spend $60.57, AOV $46. - Over target: - “Video ad 5 – Copy” remarketing: CPA $205.70, ROAS 0.214, AOV $44.03. - No-purchase but promising: - “Video ad 5” prospecting/detailed targeting ATC campaign: 14 ATCs at $6.58, 4 checkouts initiated at $23.04, LPV cost $1.14, link CTR 6.59%, but 0 purchases. Performance pattern summary - Best visible economics are in remarketing and one open interest ad set, but all with very low spend / low sample sizes. - Prospecting creative “Video ad 5” has strong upper/mid-funnel engagement and low-cost site traffic, but purchase conversion breaks after checkout initiation. - One remarketing variant of same/similar asset (“Video ad 5 – Copy”) performs very poorly on purchase despite reaching warm audiences. - CPMs appear generally high: - $57.81 on promising prospecting ad - $106.20 on poor remarketing purchase ad - $83.94 on strong remarketing purchase ad - $55.62 on open interest ad set - LPV costs vary materially: - Strong prospecting ad: $1.14 LPV - Weak remarketing purchase ad: $5.71 LPV - openINT ad set: $8.65 LPV - AOVs visible from purchase rows: - $44.03 - ~$73.48 - $46 These are all below free-shipping threshold $90 and below higher bundle pricing, which may pressure CPA tolerance and ROAS. GAPS/UNCERTAINTY - No screenshots available; cannot comment on visual creative specifics, hook text, UGC style, thumbnails, or on-platform layout beyond ad names. - CSVs appear truncated; no full-account totals, no complete ranking of all ads/campaigns, and not enough data to compute robust account-wide blended CPA/ROAS. - Some rows have alignment ambiguity due to CSV pasted text; a few downstream metrics may be imperfectly mapped. - No explicit date range chosen by client beyond report exports showing 2026-02-23 to 2026-03-24. - No spend by audience bucket rolled up cleanly (prospecting vs retargeting vs LAL) except from visible rows. - No breakdowns by placement, age, gender, device, geography, or creative format at aggregate level. - No funnel data from Shopify/GA/CAPI to verify whether 0-purchase ads are due to site friction, attribution mismatch, or actual abandonment. - No confirmation of pixel/CAPI setup quality; odd funnel relationships (e.g., purchases vs LPV/checkouts in some rows) could indicate attribution/tracking issues. - No MER/blended CAC, repeat purchase rate, contribution margin, or target ROAS. Client gave CPA goal (<$100) only. - THC/hemp compliance constraints by geography/platform are not provided; this may affect scale and targeting options. - No info on current campaign budgets, learning status, bid strategy performance over time, or how many creatives are active now. RECOMMENDED ANALYSIS ANGLE 1) Frame around “what is already closest to sub-$100 CPA” - Prioritize the few visible winners: - Scale/test from “Video ad 3 – Copy” first. - Preserve/expand “openINT_20mar2026” learnings. - Treat “Video ad 5” as a creative funnel winner needing conversion-fix / retargeting pairing, not a loser. 2) Separate diagnosis into 3 problems - Prospecting efficiency: which ads generate cheapest qualified traffic and ATCs - Retargeting conversion efficiency: which ads convert warm traffic below $100 CPA - Site/AOV economics: whether average first order value is too low to support aggressive CPA scaling 3) Core findings likely to emphasize - There is evidence Meta can hit goal: visible CPAs at $21.29 and $60.57. - But scale is tiny and inconsistent. - The main bottleneck is not just CTR; some creatives have excellent click and ATC rates but fail at purchase. - Retargeting quality is inconsistent; one warm-audience ad is excellent, another is disastrous. - AOV appears low ($44–$73), which reduces margin and makes higher CPMs dangerous. 4) Practical optimization direction for Agent 2 - Campaign structure: - Simplify into clearer prospecting + remarketing split. - Use purchase optimization only where enough conversion volume exists; otherwise test ATC/IC only as incubator, then graduate winners into purchase campaigns. - Kill/limit ads with CPA >$100 and poor purchase CVR, especially “Video ad 5 – Copy.” - Creative strategy: - Clone/iterate the winning remarketing concept from “Video ad 3 – Copy.” - Rebuild “Video ad 5” into a purchase-focused variant with stronger offer/product bundle/urgency/social-proof framing because it already wins attention and drives ATCs. - Emphasize higher-AOV bundles near $92/$112/$132 and free shipping threshold. - Test message pillars already supported by site: no alcohol/no hangover, 10-min onset, premium cocktail taste/no cannabis taste, PR logos, guarantee, customer count. - Funnel/AOV strategy: - Push first-purchase bundles over $90 free shipping threshold to lift revenue per conversion. - Align ads to best-seller packs instead of lower-priced single SKUs where possible. - Measurement: - Audit pixel/CAPI and funnel event consistency because of odd LPV/checkout/purchase relationships and because some ads show strong funnel progression with no purchases.
You do have evidence that Meta can get under your $100 CPA goal, but the wins are small and inconsistent. The clearest issue is not traffic generation alone. One prospecting ad is generating cheap clicks and cheap add-to-carts, but the account is not converting those sessions into purchases consistently enough. Meanwhile, remarketing performance is split between one very strong ad and one very poor ad using what appears to be a similar concept.
The strongest visible purchase-driving units are:
The clearest underperformer is:
The most important funnel signal is:
That means the account likely has two separate jobs right now:
Also, visible purchase values are $44.03, $46, and $73.48, which sit below your free shipping threshold of $90. That matters because if first orders stay this low, CPMs in the $55–$106 range leave very little room for error.
High confidence no-regret cuts
Medium confidence directional cuts
Low confidence / measurement-gated
High confidence
Medium confidence
Low confidence / measurement-gated
High confidence
Medium confidence
Low confidence / measurement-gated
There is no keyword or search term data in the submitted material, so I cannot make search-term negative or keyword isolation recommendations here.
High confidence
Medium confidence
Low confidence / measurement-gated
High confidence
Medium confidence
Low confidence / measurement-gated
High confidence
Medium confidence
Your goal is to get Meta purchase acquisition for sipjeng closer to or below a max CPA/CPO of $100.
Based on the submitted evidence, the clearest path is:
If you want, I can turn this into a tighter operator sheet next: exact campaign/ad set naming, budget split logic, and a 6-ad creative testing grid built around the winning and losing units shown here.
VERDICT approve_with_warnings SCORES request_match: 4/5 evidence_grounding: 4/5 detail_sufficiency: 5/5 actionability: 5/5 clarity: 4/5 overall: 4/5 WHAT WORKED - Directly addressed the client’s ask: practical Meta conversion optimization recommendations aimed at getting under a $100 CPA. - Correctly centered the answer on the strongest visible purchase-driving units: - “Video ad 3 – Copy” at $21.29 CPA on 3 purchases. - openINT_20mar2026 at $60.57 CPA on 1 purchase. - “Video ad 5 – Copy” as the clearest loser at $205.70 CPA. - Correctly treated prospecting “Video ad 5” as a funnel winner but not a purchase winner, using the supplied metrics: - 81 LPVs at $1.14 - 14 ATCs at $6.58 - 4 checkouts - 0 purchases - Good use of site evidence to support AOV/bundle recommendations: - free shipping at $90 - bundles at $92 / $112 / $132 - low visible purchase values of $44.03 / $46 / $73.48 - Included sensible caveats around sample size, attribution variation, and possible tracking inconsistencies. - Action plan is operator-style and practical: pause losers, isolate winners, build variants, test bundle-led landing paths, audit pixel/CAPI. FAILURES - The output includes HTML tags and styling artifacts despite the ask being for plain analysis. Not fatal, but sloppy for delivery. - One unsupported creative claim was introduced: “tastes like a premium cocktail / no cannabis taste” as a recommended message order is partly grounded in site copy, but the answer upgrades it into a specific ad messaging priority without evidence that this message drove performance in the Meta data. - “5–10 minute onset” is not cleanly grounded. The site evidence says “10 mins onset” and “0 to 15 minutes / much faster than edibles.” Agent 2 converted this into “5–10 minute onset,” which was not provided. - “best-seller pack CTA” language is a reasonable recommendation, but “best-seller” itself was not established as a proven performer in the Meta data. - The section titled “Ad group/keyword/search-term changes” is mismatched to Meta and could confuse the client, even though it then says no keyword data exists. - Some recommendations imply more confidence than the evidence supports, especially around campaign structure changes and optimization-goal changes, given the tiny conversion counts and incomplete account view. MISSED EVIDENCE - Agent 2 did not mention that most campaigns/ad sets are inactive or not delivering beyond a brief consolidation note. This was an important structural fact from the handoff and could have been tied more explicitly to simplification and budget concentration. - It did not surface the quality/engagement/conversion rankings on the key ads: - “Video ad 5” had Above average quality and engagement, Average conversion ranking. - “Video ad 5 – Copy” had Below average conversion ranking, Bottom 35%. These are useful supporting facts for creative keep/kill decisions. - It did not mention the unusually high CPMs on the winning and losing ads in a more diagnostic way. CPM inflation was a notable account pattern in the evidence and relevant to CPA pressure. - It skipped the inconsistency in customer count as a trust issue until the landing-page section; could have tied it more directly to conversion friction. - It did not emphasize that no screenshots/creative previews were provided until later, though it did caveat that eventually. HALLUCINATION CHECK - Clear minor hallucination/overreach: - “5–10 minute onset” is not in the evidence. The evidence supports “10 mins onset” and a broader 0–15 minute experience framing. - Mild overreach: - “tastes like a premium cocktail / no cannabis taste” is supported by site copy, but not by ad-performance evidence. Acceptable as a creative hypothesis, not as a proven optimization lever. - “best-seller bundle page” and “best-seller pack CTA” are not directly evidenced as top converters in Meta data. - No major fabricated metrics detected. The key numbers cited for spend, purchases, CPA, LPV, ATC, and AOV align with the handoff. - Good restraint overall in noting missing screenshots and ambiguous CSV alignment. REVISION NEEDED - Remove or correct “5–10 minute onset” to match evidence: use “10 mins onset” or “0–15 minutes.” - Rename or remove the “keyword/search-term” section since this is Meta, not search. - Tighten claims so creative recommendations are framed as hypotheses supported by site messaging, not as proven performance drivers. - Add one short note using the ranking evidence: - keep testing “Video ad 5” because quality/engagement are above average - deprioritize “Video ad 5 – Copy” because conversion ranking is below average - Optional: strip HTML for cleaner delivery. FINAL QA SUMMARY This is a strong, mostly evidence-based operator answer that should be usable by the client. It correctly identifies the visible sub-$100 CPA wins, isolates the biggest loser, and gives practical next steps around pausing waste, relaunching the best remarketing ad, rebuilding the promising prospecting asset, pushing higher-AOV bundles, and auditing tracking. Main issues are minor evidence drift (“5–10 minute onset”), a mislabeled search-oriented section, and a few recommendations stated with more certainty than the tiny sample sizes justify. Approve with warnings rather than full approval.
{
"saved_at_utc": "2026-03-26T19:05:04.270623+00:00",
"run_id": "2026-03-26-184438-b488dec4",
"run_path": "insightaudit_runs/2026-03-26/2026-03-26-184438-b488dec4",
"verdict": "usable but weak",
"severity": "minor",
"problems": "Should be more Operator focussed and should be more of a checklist of 1) cutting under and non performers 2) Maximizing over performers 3) budget adjustments 4) expanding or scaling what is working",
"what_should_have_happened": "A little long and wordy, but down to 1) What works 2) What doesn't 3) Recommended cuts and additions on current campaigns/ads 3) suggesstion of next development or testing.",
"reusable_lesson": ""
}