Saved: 2026-03-26T15:32:03.893236+00:00
Model: gpt-5.4
Estimated input/output tokens: 30,009 / 9,589
CLIENT ASK
Analyze Meta ads for project “sipjeng” with a conversion lens. Main KPI is purchase conversions. Client wants to know:
1) how to scale more purchase conversions, and
2) how to reduce wasted Meta spend.
PROVIDED EVIDENCE
1) Website text from 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. Evidence is tabular/text only, and some CSV content is truncated.
EXTRACTED FACTS
Business / offer facts from website
- Brand: Jeng
- Product: alcohol-free, hemp-infused sparkling soft cocktails / THC-infused drinks
- Age gate: “Are you at least 21 years old?”
- Core positioning:
- Alcohol-free
- Hemp-derived THC / CBD
- “10 mins onset”
- “No Alcohol”
- “No Hangover”
- “Natural Real Ingredients”
- Social proof:
- “Rated 4.8/5”
- “Over 12,000 Happy Customers” appears in cart area
- “Over 10,000 Happy Customers” also appears elsewhere on site
- Offers:
- “Spend $90 and get free shipping”
- “15% off sitewide today applied at checkout”
- “First-time subscribers get 30% off with code WELCOME20” but text says “Plus, enjoy 10% off every order”
- Potential contradiction: “30% off” paired with code “WELCOME20”
- Key products/prices:
- Starter Kit (6-Pack): $38
- The Sweet Spot Pack (16-Pack): $92
- Party Pack (24-Pack): $132
- Mix & Match Your Way (24-Pack): $132
- Moscow Mule Megadose (10mg): $32
- The Micro Mega Mix (16-Pack): $112
- Several single flavor options at $26
- Gift Box: $46
- Shipping threshold likely influences AOV targeting:
- Free shipping unlock at $90
- Packs priced at $92 / $112 / $132 sit above threshold
Meta account / reporting facts
- Account name: Jeng Ad Account
- Account ID: 927060798144021
- Reporting window visible in campaign CSV:
- Reporting starts: 2026-02-23
- Reporting ends: 2026-03-24
- Many campaigns/ad sets/ads in exports are inactive or not delivering with zero spend.
- Truncation limits full-account analysis; only partial rows are visible.
Ad/campaign naming patterns visible
- RemarketingCampaign_Feb26 _NewLaunch
- Cube_DetailedTargeting_ATC_Mar26
- Cube_Remarketing_March2026
- Cube_openINT_Mar20,2026
- OpenINT_Nov25
- Interest_Sales_Campaign_Motherhood
- Interest_Sales_Campaign_Generic
- Catalog_Sales
- Sale Ads Conversion Campaign_INT_Only
- Sale Ads Conversion Campaign_GenZ
- RemarketingCampaign_Nov25
- Ad set names include:
- Female | 30-60 | US | english
- Cube_SV,ATC,IC,FB/IG engagers, Video viewers
- REM_Feb26_New
- openINT_20mar2026
OBSERVED METRICS
Important: only metrics explicitly visible in provided rows.
Ad-level rows with spend and conversion signals
1) Ad: "Video ad 5"
- Delivery: not_delivering
- Ad set: Female | 30-60 | US | english
- Campaign: Cube_DetailedTargeting_ATC_Mar26
- Objective: Sales
- Amount spent: $92.15
- Results: 14
- Result indicator: offsite_conversion.fb_pixel_add_to_cart
- Cost per result: $6.58214286
- Results value: $457.65
- Results ROAS: 4.9663592
- Impressions: 1,594
- Reach: 1,309
- Frequency: 1.217723
- CPM: $57.81054
- Link clicks: 105
- Outbound clicks: 99
- Website landing page views: 81
- Cost per landing page view: $1.137654
- CTR link: 0.877619%
- CTR all: 9.033877%
- CPC link: $0.930808
- Unique outbound clicks: 91
- Unique link clicks: 96
- Adds to cart: 14
- Cost per add to cart: $6.582143
- Checkouts initiated: 4
- Cost per checkout initiated: $23.0375
- Purchases: not shown / appears 0
- Quality ranking: Above average
- Engagement rate ranking: Above average
- Conversion rate ranking: Average
Interpretation note: strong upper/mid-funnel and ATC, but no visible purchases in this row.
2) Ad: "Video ad 5 – Copy"
- Delivery: inactive
- Ad set: Cube_SV,ATC,IC,FB/IG engagers, Video viewers
- Campaign: Cube_Remarketing_March2026
- Objective: Sales
- Amount spent: $205.70
- Results: 1
- Result indicator: offsite_conversion.fb_pixel_purchase
- Cost per result / cost per purchase: $205.70
- Purchases: 1
- Purchase ROAS: 0.21405
- Results ROAS: 0.21404959
- Purchases conversion value / results value: $44.03
- Impressions: 1,937
- Reach: 1,380
- Frequency: 1.403623
- CPM: $106.195147
- Link clicks: 45
- Outbound clicks: 42
- Website landing page views: 36
- Cost per landing page view: $5.713889
- CTR link: 4.571111%
- CTR all: 3.407331%
- CPC link: $4.897619
- Adds to cart: 2
- Cost per add to cart: $102.85
- Checkouts initiated: 2
- Cost per checkout initiated: $102.85
- Purchases rate per link clicks: 2.22222222%
- Purchases rate per landing page views: 2.777778%
- Average purchase value: $44.03
- Quality ranking: Average
- Engagement rate ranking: Average
- Conversion rate ranking: Below average - Bottom 35% of ads
Interpretation note: this is a clear waste candidate based on very high CPA and poor ROAS despite decent CTR.
3) Ad: "Video ad 3 – Copy"
- Delivery: not_delivering
- Ad set: Cube_SV,ATC,IC,FB/IG engagers, Video viewers
- Campaign likely Cube_Remarketing_March2026
- Objective: Sales
- Amount spent: $63.88
- Results: 3
- Result indicator: offsite_conversion.fb_pixel_purchase
- Cost per purchase: $21.29333333
- Purchases: 3
- Purchase ROAS: 3.451002
- Results ROAS: 3.45100188
- Purchase conversion value / results value: $220.45
- Impressions: 761
- Reach: 517
- Frequency: 1.471954
- CPM: $83.942181
- Link clicks: 17
- Outbound clicks: 16
- Website landing page views: 11
- Cost per landing page view: $5.807273
- CTR link: 3.757647%
- CTR all: 2.890933%
- CPC link: $3.9925
- Adds to cart: 4
- Cost per add to cart: $15.97
- Checkouts initiated: 8
- Cost per checkout initiated: $7.985
- Purchases rate per link clicks: not fully visible, but 3 purchases on 17 link clicks = 17.65% if calculated manually
- Purchases rate per landing page views visible? not fully shown; manual calc 3/11 = 27.27%
- Average purchase value visible via 220.45 / 3 = $73.48 if derived manually
Interpretation note: strongest visible purchase-driving creative among provided ad rows.
4) Ad: "Feb_2026_2_static"
- Delivery: not_delivering
- Ad set: REM_Feb26_New
- Campaign: RemarketingCampaign_Feb26 _NewLaunch
- Objective: Sales
- Amount spent: $146.57
- Impressions: 3,044
- Reach: 1,675
- Frequency: 1.817313
- CPM: $48.15046
- Purchases: none visible
- Link clicks: 51
- Outbound clicks: 48
- Website landing page views: 35
- Cost per landing page view: $4.187714
- CTR link: 2.873922%
- CTR all: 1.675427%
- CPC link: $3.053542
- Adds to cart: 4
- Cost per add to cart: $36.6425
- Checkouts initiated: 2
- Cost per checkout initiated: $73.285
- Post engagements: 77
Interpretation note: remarketing static generated some cart/checkouts but no visible purchases; likely inefficient.
5) Ad: "Subscription_Ad"
- Delivery: not_delivering
- Ad set: REM_Feb26_New
- Campaign: RemarketingCampaign_Feb26 _NewLaunch
- Amount spent: $1.52
- Impressions: 46
- Reach: 45
- Frequency: 1.022222
- Link clicks: 3
- Website landing page views: 3
- Cost per LPV: $0.506667
- Too little spend to judge.
6) Ad: "Feb_2026_4_Static"
- Delivery: not_delivering
- Ad set: REM_Feb26_New
- Campaign: RemarketingCampaign_Feb26 _NewLaunch
- Amount spent: $0.44
- Impressions: 7
- Reach: 6
- No meaningful signal.
Ad set-level row with spend
7) Ad set: openINT_20mar2026
- Delivery: not_delivering
- Campaign: Cube_openINT_Mar20,2026
- Performance goal: Conversions
- Amount spent: $60.57
- Impressions: 1,089
- Reach: 760
- Frequency: 1.432895
- CPM: $55.619835
- Link clicks: 8
- Outbound clicks: 6
- LPVs: 7
- Cost per LPV: $8.652857
- CTR link: 0.734619%
- CTR all: 1.652893%
- Adds to cart: 8
- Cost per add to cart: $7.57125
- Add-to-cart conversion value: $97.1
- Checkouts initiated: 2
- Cost per checkout initiated: $30.285
- Purchases: 1
- Cost per purchase: $60.57
- Purchases conversion value: $46
- Average purchase value: $46
- Purchases rate per link clicks: 12.5% if using 1/8 manual; CSV visible near end includes 12.947658 for 3-sec play rate, not purchase rate
- Purchases rate per LPV visible near end: 87.5? This appears more likely LPV rate per link clicks, not purchase rate. The truncated row makes exact mapping uncertain.
Interpretation note: low spend, weak click efficiency, one purchase at sub-1 ROAS.
Campaign-level row with spend
8) Campaign: Cube_openINT_Mar20,2026
- Delivery: inactive
- Objective: Sales
- Amount spent: $60.57
- Impressions: 1,089
- Reach: 760
- Frequency: 1.432895
- CPM: $55.619835
- Video plays: 457
- ThruPlays: 34
- Cost per ThruPlay: $1.781471
- Clicks all: 18
- CPC all: $3.365
- CPC link: $7.57125
- CTR all: 1.652893%
- LPVs: 7
- Cost per LPV: $8.652857
- Adds to cart: 8
- Adds to cart value: $97.1
- Cost per ATC: $7.57125
- Checkouts initiated: 2
- Cost per checkout initiated: $30.285
- Direct website purchases: 1
- Purchases conversion value: $46
- Cost per purchase: $60.57
- 3-second video plays: 141
- Video avg play time not visible meaningfully
Interpretation note: this campaign is not currently a scalable winner based on visible purchase economics.
Measurable patterns across visible data
- Best visible purchase ad:
- "Video ad 3 – Copy": 3 purchases on $63.88 spend, CPA $21.29, ROAS 3.45
- Worst visible purchase ad:
- "Video ad 5 – Copy": 1 purchase on $205.70 spend, CPA $205.70, ROAS 0.21
- Best visible click-to-cart efficiency:
- "Video ad 5": 14 ATCs on $92.15, CPA to ATC $6.58, LPV cost $1.14, but no visible purchases
- Remarketing appears mixed:
- One remarketing purchase ad strong ("Video ad 3 – Copy")
- Another remarketing purchase ad very poor ("Video ad 5 – Copy")
- Older remarketing static ads generated carts/checkouts but no visible purchases
- Visible CPMs are high:
- ~$48.15, $57.81, $83.94, $106.20
- Landing page view costs vary widely:
- Stronger: $1.14 for prospecting ATC ad
- Weaker: $4.19 to $5.81 to $8.65
- Average purchase values visible in successful/unsuccessful rows:
- $44.03
- $46.00
- derived ~$73.48 for “Video ad 3 – Copy”
- Site pricing suggests orders above $90 threshold should improve economics, but visible purchase values of $44 and $46 imply many orders are below free shipping threshold and likely on lower-priced SKUs.
GAPS/UNCERTAINTY
- No screenshots provided despite instruction mention; cannot comment on visual dashboard trends.
- CSV exports are truncated, so full account totals, complete rankings, and trend consistency cannot be validated.
- No aggregate campaign/ad set performance summary for all active spend.
- No daily spend trend, no spend by audience segment over time, no learning phase status, and no account-wide blended CPA/ROAS.
- Attribution consistency issue:
- Some rows show “7-day click, 1-day view, or 1-day engaged-view”
- Some show “7-day click or 1-day view”
- Campaign CSV even says “Multiple attribution settings”
- This weakens apples-to-apples comparison.
- It is unclear which campaigns/ad sets were actually active at meaningful scale during the reporting period versus legacy clutter in exports.
- We do not have:
- account-level purchase volume
- total spend
- NC-CPA / first-time customer data
- breakdown by placement, age, gender, geography, device
- creative thumbnails / copy body / hook text
- funnel analytics from site (session CVR, ATC rate, checkout abandonment)
- pixel/CAPI quality diagnostics
- MER/blended performance
- Potential data quality confusion:
- “Results” can mean ATC in one row and purchase in another, depending on optimization event.
- Need normalization before making direct “top performer” claims.
- Site offer contradiction:
- “First-time subscribers get 30% off with code WELCOME20” is inconsistent.
- Site social proof inconsistency:
- “Over 12,000 Happy Customers” vs “Over 10,000 Happy Customers”
- Because only fragments are visible, cannot definitively conclude whether scaling should prioritize prospecting, remarketing, creative, or CRO first—though visible evidence points most strongly to creative/audience pruning and possible AOV/CRO opportunity.
RECOMMENDED ANALYSIS ANGLE
Use an operator-style conversion audit focused on:
1) Normalize performance by true purchase outcome first
- Separate ads optimized for ATC vs purchase
- Rank only purchase-optimized assets by spend, purchases, CPA, ROAS, CVR
- Treat ATC ads as feeder signals, not winners unless they convert downstream
2) Immediate waste-cut recommendations from visible evidence
- Pause/deprioritize “Video ad 5 – Copy” under Cube_Remarketing_March2026:
- CPA $205.70
- ROAS 0.21
- Below-average conversion rate ranking
- Be cautious with open interest campaign/ad set “Cube_openINT_Mar20,2026” / “openINT_20mar2026”:
- CPA $60.57 on $46 purchase value
- weak LPV efficiency and sub-1 ROAS
- Old remarketing static “Feb_2026_2_static” looks inefficient:
- $146.57 spend, carts/checkouts but no visible purchases
3) Scale recommendations from visible evidence
- Prioritize variants structurally similar to “Video ad 3 – Copy”
- 3 purchases
- CPA $21.29
- ROAS 3.45
- Investigate whether this winner is due to:
- audience (remarketing pool)
- message/copy
- product offer
- format/video hook
- Consider promoting best-performing remarketing creative into broader warm pools and testing analogs in prospecting
4) Conversion funnel angle
- “Video ad 5” shows strong click/ATC efficiency but no purchases:
- suggests either wrong optimization event, poor post-click conversion, or audience/offer mismatch
- Recommend analysis around funnel leakage:
- LPV → ATC → IC → Purchase by ad/ad set
- If ATC is strong but purchase weak, shift optimization to purchase and tighten retargeting windows / checkout recovery
5) Economics / AOV angle
- Visible purchase values ($44, $46) are below site’s free-shipping threshold of $90
- Recommend framing scaling around higher-AOV bundles:
- Sweet Spot Pack $92
- Party Pack $132
- Mix & Match $132
- Micro Mega Mix $112
- Tie ad creative/offers to bundles above free shipping threshold to improve ROAS and absorb CPMs
6) Website/CRO angle
- Site likely has conversion friction and message clutter:
- age gate
- multiple competing promos
- inconsistent subscriber discount code message
- conflicting social proof counts
- Recommend reducing friction and clarifying hero offer / bestseller bundle path, especially for mobile paid traffic
7) Decision criteria likely to matter
- Primary: lowest cost per purchase at scalable spend
- Secondary: purchase ROAS, LPV cost, ATC-to-purchase conversion, audience quality, AOV
- Tertiary: creative rankings, CTR/CPC as diagnostics, not decision end-state
8) Ask Agent 2 to present conclusions conservatively
- “Based on the partial exports provided…”
- avoid account-wide claims
- distinguish between:
- proven purchase winners
- ATC-efficient but unproven ads
- clear waste candidatesBased on the partial Meta exports you provided, the clearest path to more purchase conversions is not broad scaling across the account. It is tighter pruning first, then scaling only the few assets with visible purchase proof.
Right now, the visible data shows three very different buckets:
The strongest visible purchase ad is "Video ad 3 – Copy": $63.88 spend / 3 purchases ≈ $21.29 CPA, with $220.45 purchase value / $63.88 spend ≈ 3.45 ROAS. That is the only visible row that looks scale-worthy on a purchase basis.
The clearest waste is "Video ad 5 – Copy": $205.70 spend / 1 purchase = $205.70 CPA, and $44.03 purchase value / $205.70 spend ≈ 0.21 ROAS. That should not keep spending in its current form.
There is also a recurring pattern of upper-funnel activity without purchase proof. Example: "Video ad 5" drove 14 adds to cart on $92.15 spend, so $92.15 / 14 ≈ $6.58 per add to cart, but no visible purchases in that row. That is useful as a signal, but it is not purchase evidence.
So the operator takeaway is simple: cut the expensive purchase rows, isolate the one visible purchase winner, and stop treating ATC-heavy rows as winners until they prove downstream purchase conversion.
This is the cleanest visible waste cut in the account. Even if attribution windows differ, $205.70 spend to drive $44.03 in reported purchase value is not defendable.
Some funnel movement, but no visible purchase outcome after meaningful spend. That makes this a no-regret cut unless another report proves purchases that are not visible here.
This is not the first place to put more budget. The purchase happened, but the economics are weak and the click efficiency is poor.
This is the only visible ad with both multiple purchases and acceptable economics. That does not prove infinite scalability, but it is the best evidence-backed creative starting point you have.
There are no keywords or search terms in the uploaded evidence. This is Meta data, not paid search query data, so there is nothing here to support keyword pauses or search-term negatives.
The evidence is useful but incomplete, so some conclusions must stay conservative.
Bottom line on confidence: I am confident in the waste cuts and in the recommendation to scale only around the one visible purchase winner. I am not confident enough from these partial exports to declare a full account restructure or broad prospecting scale plan.
Your goal is clear: get more purchase conversions from Meta while reducing wasted spend.
Based on the evidence provided, the practical answer is:
If you want, the next best step is a purchase-only normalization table across campaign, ad set, and ad so we can turn these partial findings into a firmer budget reallocation plan.
VERDICT approve_with_warnings SCORES request_match: 4 evidence_grounding: 4 detail_sufficiency: 4 actionability: 4 clarity: 5 overall: 4 WHAT WORKED - Strong alignment to the client’s ask: it addresses both how to scale purchase conversions and how to cut wasted Meta spend. - Correctly centers purchase conversions rather than overvaluing CTR/ATC metrics. - Uses the most important visible rows appropriately: - "Video ad 3 – Copy" as the best visible purchase performer. - "Video ad 5 – Copy" as the clearest waste cut. - "Video ad 5" as an ATC-heavy but unproven purchase asset. - "Cube_openINT_Mar20,2026" as weak on purchase economics. - Arithmetic cited appears mostly correct: - $63.88 / 3 = $21.29 CPA. - $220.45 / $63.88 ≈ 3.45 ROAS. - $205.70 / 1 = $205.70 CPA. - $44.03 / $205.70 ≈ 0.21 ROAS. - $92.15 / 14 ≈ $6.58 per ATC. - Good caution around partial exports, mixed attribution settings, and mixed result types. - Sensible operator recommendation to normalize by purchase outcome before scaling. FAILURES - Overstates confidence on scaling from a tiny sample. "Video ad 3 – Copy" has only 3 purchases on $63.88 spend. That is the best visible row, but still very low volume for strong scaling recommendations. The answer says this is the "only visible ad that looks scale-worthy," which is directionally fair, but it should stress sample-size fragility more strongly. - Some recommendations are more speculative than the evidence supports: - "Expand the winner first inside warm traffic before pushing it broad" is reasonable, but not directly proven by the provided data. - "Create a dedicated paid-traffic landing path for bundle-first conversion" may be smart, but there is no landing-page experiment or path-level evidence in the inputs showing this would improve purchases. - It does not prioritize enough between immediate cuts and test ideas. The action list is useful, but the answer could separate: 1) immediate budget cuts, 2) immediate reallocations, 3) CRO tests, 4) measurement fixes. - It misses a more explicit callout that "Video ad 3 – Copy" and "Video ad 5 – Copy" are both in the same remarketing-style ad set, which suggests creative variation may be a bigger lever than audience alone. The answer implies this, but does not emphasize it. - It treats "no visible purchases" as a likely enough basis to pause "Feb_2026_2_static." That is a fair operational suggestion, but because exports are partial/truncated, it should be framed even more cautiously as "pause unless purchase-only reporting confirms hidden conversions." - It doesn’t mention the high CPM environment as a constraint on scale beyond a brief note. Given visible CPMs from ~$48 to ~$106, that should have been tied more directly to why AOV and conversion rate improvements matter. MISSED EVIDENCE - The answer did not explicitly use the visible quality/engagement/conversion rankings for "Video ad 5" and "Video ad 5 – Copy" beyond one mention. Those rankings support the interpretation that click efficiency alone is misleading. - It could have highlighted the unusual funnel inconsistency more forcefully: - "Video ad 3 – Copy" shows 4 ATCs, 8 checkouts initiated, 3 purchases. - That undermines confidence in using intermediate funnel metrics literally and should temper any LPV→ATC→IC→purchase optimization advice. - It did not call out that "Video ad 5" had Above Average quality and engagement rankings but no visible purchases, which strengthens the point that engagement diagnostics should not drive budget decisions. - It could have used the visible average purchase values more carefully: - $44.03 and $46 are below the $90 free shipping threshold. - But the derived ~$73.48 for "Video ad 3 – Copy" is also below that threshold, so the answer’s bundle/AOV recommendation is plausible but still not directly proven by ad-level destination or product-mix evidence. HALLUCINATION CHECK - No major hallucinations found. - The statement that there are "no keywords or search terms" is valid and grounded in the evidence. - Most factual claims are traceable to provided rows or website text. - Mild overreach: - "Lead with one primary paid offer instead of making the user sort through many single-SKU options" is UX advice, not directly evidenced by the provided exports. - "Use bundle-focused merchandising in any scaled purchase test" is a reasonable hypothesis based on pricing/AOV, but still an inference rather than something demonstrated by campaign data. - Importantly, Agent 2 did not invent extra campaigns, totals, or account-wide results that were not provided. REVISION NEEDED - Add stronger caveats on sample size before recommending scaling from "Video ad 3 – Copy." - Tighten prioritization into: 1) pause now, 2) cap/test only, 3) clone/test, 4) measurement fixes, 5) CRO hypotheses. - Reframe CRO/AOV ideas as hypotheses to test, not likely wins already supported by evidence. - Make the attribution inconsistency and truncated export limitations more central to any recommendation that compares rows. FINAL QA SUMMARY This is a solid, mostly evidence-grounded answer that matches the client ask and avoids major fabrication. The strongest parts are the waste-cut recommendations and the insistence on judging by purchase outcomes, not ATCs or CTR. The main weakness is confidence creep: the scale recommendation leans on one low-volume winner with only 3 purchases, and some landing-page/AOV advice goes beyond what the data directly proves. Good enough to approve with warnings, but not strong enough for a top score.
No human feedback saved yet.