Saved: 2026-03-26T15:05:37.586887+00:00
Model: gpt-5.4
Estimated input/output tokens: 29,322 / 9,118
CLIENT ASK
- Analyze Meta ads performance for project “sipjeng” with a conversion focus.
- Main KPI is purchase order / purchases.
- Client wants two outcomes:
1) scale more conversions
2) save money / improve efficiency
- Preferred output style later: operator.
PROVIDED EVIDENCE
- Website URL: https://www.sipjeng.com
- CSV exports only; no screenshots were actually provided.
- Files:
1) Jeng Meta Ads.csv
2) Jeng Meta Ad Set.csv
3) Jeng Meta Campaign Report.csv
- Reporting window visible in campaign report rows: 2026-02-23 to 2026-03-24.
- Data appears mostly Meta Ads Manager exports at ad, ad set, and campaign levels.
- Many rows are truncated, so dataset shown is partial, not complete.
EXTRACTED FACTS
- Account name: Jeng Ad Account
- Account ID: 927060798144021
- Most active campaigns in visible data are Sales objective.
- Numerous campaigns/ad sets are inactive or not delivering with zero spend.
- Visible live/spending campaign clusters in period:
- RemarketingCampaign_Feb26 _NewLaunch
- Cube_Remarketing_March2026
- Cube_DetailedTargeting_ATC_Mar26
- Cube | Adv+ Cat | Mar26
- Cube_OpenINT_18Mar2026
- Cube_openINT_Mar20,2026
- Attribution settings are inconsistent across rows:
- Mostly “7-day click, 1-day view, or 1-day engaged-view”
- One campaign row says “Multiple attribution settings”
- Some older rows use “7-day click or 1-day view”
- One older remarketing campaign uses “1-day click, 1-day view, or 1-day engaged-view”
- Optimization / result types vary across campaigns and ads:
- Some optimize/report on purchases
- Some optimize/report on add to cart
- This matters because client KPI is purchases, not ATC.
- Campaign budget structures vary:
- Some “Using ad set budget”
- Some “Using campaign budget”
OBSERVED METRICS
Campaign-level visible metrics from Jeng Meta Campaign Report.csv:
1) RemarketingCampaign_Feb26 _NewLaunch
- Objective: Sales
- Delivery: inactive
- Budget: 40 daily
- Spend: $180.93
- Impressions: 3,609
- Reach: 1,847
- Frequency: 1.953979
- CPM: $50.133001
- Purchases: 0 visible at campaign level
- Landing page views: 41
- Cost per LPV: $4.412927
- Adds to cart: 2
- ATC conversion value: $26.98
- Cost per ATC: $90.465
- Checkouts initiated: 4
- Checkout conversion value: $84.78
- Cost per checkout initiated: $45.2325
- Video plays: 144
- ThruPlays: 8
- Cost per ThruPlay: $22.61625
- Clicks (all): 62
- CPC (all): $2.918226
- CTR (all): 1.717927
- CPC link: $3.0155
- 3-sec video plays rate per impressions: 0.637296
- No purchases shown despite some downstream activity.
2) Cube_Remarketing_March2026
- Objective: Sales
- Delivery: inactive
- Results: 6 purchases
- Cost per result / purchase: $76.555
- Budget: 30 daily
- Spend: $459.33
- Impressions: 5,950
- Reach: 3,433
- Frequency: 1.733178
- CPM: $77.198319
- Purchase ROAS: 0.753641
- Results value / purchase conversion value: $346.17
- Result rate: 0.10084034
- Viewers: 3,287
- Views: 5,906
- Video plays: 3,495
- ThruPlays: 348
- Cost per ThruPlay: $1.319914
- Clicks (all): 140
- CPC (all): $3.280929
- CPC link: $4.735361
- CTR (all): 2.352941
- Cost per landing page view: $6.1244
- Website landing page views: 75
- Instagram profile visits: 9
- Adds to cart: 26
- ATC conversion value: $532.99
- Cost per ATC: $17.666538
- Checkouts initiated: 48
- Checkout conversion value: $271.41
- Cost per checkout initiated: $9.569375
- Direct website purchases: 6
- Purchases conversion value: $346.17
- Cost per purchase: $76.555
- Avg purchase value implied: $57.70 (346.17 / 6)
- This is the clearest purchase-driving campaign in visible data, but unprofitable on ROAS.
3) Cube_DetailedTargeting_ATC_Mar26
- Objective: Sales
- Delivery: inactive
- Results: 31 add to carts (not purchases)
- Cost per result: $6.05967742
- Budget: 10 daily
- Spend: $187.85
- Impressions: 3,099
- Reach: 2,360
- Frequency: 1.313136
- CPM: $60.616328
- Purchases: 1
- Purchase ROAS: 0.145275
- Results ROAS: 5.12685653 tied to ATC value, not purchase
- Results value: $963.08 (ATC value)
- Result rate: 1.00032268
- Viewers: 2,266
- Views: 3,331
- Video plays: 2,884
- ThruPlays: 551
- Cost per ThruPlay: $0.340926
- Clicks (all): 265
- CPC (all): $0.708868
- CPC link: $0.958418
- CTR (all): 8.551146
- Cost per landing page view: $1.211935
- Website landing page views: 155
- Adds to cart: 31
- Cost per ATC: $6.059677
- Checkouts initiated: 9
- Checkout conversion value: $421.62
- Cost per checkout initiated: $20.872222
- Direct website purchases: 1
- Purchases conversion value: $27.29
- Cost per purchase: $187.85
- Avg purchase value implied: $27.29
- Strong traffic/engagement and ATC efficiency, but terrible purchase efficiency.
4) Cube | Adv+ Cat | Mar26
- Objective: Sales
- Delivery: inactive
- Results: 6 purchases
- Cost per result / purchase: $94.99
- Budget: 30 daily
- Spend: $569.94
- Impressions: 14,131
- Reach: 6,976
- Frequency: 2.025659
- CPM: $40.332602
- Purchase ROAS: 0.965067
- Results value / purchase conversion value: $550.03
- Result rate: 0.04245984
- Viewers: 6,960
- Views: 14,326
- Video plays: 905
- ThruPlays: 35
- Cost per ThruPlay: $16.284
- Clicks (all): 271
- CPC (all): $2.1031
- CPC link: $2.893096
- CTR (all): 1.917769
- Cost per landing page view: $3.475244
- Website landing page views: 164
- Adds to cart: 24
- ATC conversion value: $795.27
- Cost per ATC: $23.7475
- Checkouts initiated: 20
- Checkout conversion value: $306.7
- Cost per checkout initiated: $28.497
- Direct website purchases: 6
- Cost per purchase: $94.99
- Avg purchase value implied: ~$91.67
- Best visible ROAS among purchase campaigns, but still below 1.0 and expensive CPA.
5) Cube_OpenINT_18Mar2026
- Objective: Sales
- Delivery: inactive
- Results: 1 purchase
- Cost per result / purchase: $27.06
- Spend: $27.06
- Impressions: 607
- Reach: 456
- Frequency: 1.33114
- CPM: $44.579901
- Purchase ROAS: 0.717295
- Results value / purchase conversion value: $19.41
- Result rate: 0.16474465
- Video plays: 139
- ThruPlays: 5
- Cost per ThruPlay: $5.412
- Clicks (all): 14
- CPC (all): $1.932857
- CPC link: $2.46
- Cost per LPV: $2.706
- Website landing page views: 10
- Adds to cart: 1
- ATC conversion value: $26.6
- Cost per ATC: $27.06
- Checkouts initiated: 1
- Direct website purchases: 1
- Small sample size.
6) Cube_openINT_Mar20,2026
- Objective: Sales
- Delivery: inactive
- Spend: $60.57
- Impressions: 1,089
- Reach: 760
- Frequency: 1.432895
- CPM: $55.619835
- No purchases visible
- Viewers: 733
- Views: 1,102
- 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
- Cost per LPV: $8.652857
- Website landing page views: 7
- Adds to cart: 8
- ATC conversion value: $97.1
- Cost per ATC: $7.57125
- Checkouts initiated: 2
- Cost per checkout initiated: $30.285
- Oddity: no purchases but 8 ATCs from only 7 LPVs visible.
Ad-level visible metrics from Jeng Meta Ads.csv:
1) “Video ad 5” under Female | 30-60 | US | english / campaign Cube_DetailedTargeting_ATC_Mar26
- Results: 14 add to carts
- Cost per result: $6.58214286
- Spend: $92.15
- Impressions: 1,594
- Reach: 1,309
- Frequency: 1.217723
- CPM: $57.81054
- Quality ranking: Above average
- Engagement rate ranking: Above average
- Conversion rate ranking: Average
- Results ROAS: 4.9663592 on ATC value
- Results value: $457.65
- CTR link: 0.877619
- CPC link: $6.587202
- CTR all: 9.033877
- CPC all: $0.639931
- Unique outbound CTR: 6.951872
- Unique outbound clicks: 91
- Unique link clicks: 96
- LPVs: 81
- Cost per LPV: $1.137654
- Adds to cart: 14
- Cost per ATC: $6.582143
- Checkouts initiated: 4
- Cost per checkout initiated: $23.0375
- Purchases: 0
- Video average play time: 52.070263 sec
- Video plays at 25/50/75/95/100%: 361 / 231 / 155 / 112 / 99
- Great upper-funnel and mid-funnel engagement; no purchases.
2) “Video ad 5 – Copy” under Cube_Remarketing_March2026
- Delivery: inactive
- Results: 1 purchase
- Cost per result: $205.7
- Spend: $205.70
- Impressions: 1,937
- Reach: 1,380
- Frequency: 1.403623
- CPM: $106.195147
- Purchases: 1
- Quality ranking: Average
- Engagement rate ranking: Average
- Conversion rate ranking: Below average - Bottom 35% of ads
- Purchase ROAS: 0.21405
- Result rate: 0.05162623
- Purchase value: $44.03
- CTR link: 4.571111
- CPC link: $2.32318
- CTR all: 3.407331
- CPC all: $3.116667
- Unique outbound clicks: 41
- Unique link clicks: 43
- LPVs: 36
- Cost per LPV: $5.713889
- Adds payment info: 2 at $102.85 each
- Adds to cart: 2 at $102.85 each
- Checkouts initiated: 4 at $51.425 each
- Direct website purchases: 1
- Cost per purchase: $205.7
- Very poor conversion efficiency despite acceptable click metrics.
3) “Video ad 3 – Copy” under Cube_Remarketing_March2026
- Results: 3 purchases
- Cost per purchase: $21.29333333
- Spend: $63.88
- Impressions: 761
- Reach: 517
- Frequency: 1.471954
- CPM: $83.942181
- Purchase ROAS: 3.451002
- Result rate: 0.39421813
- Purchase value: $220.45
- CTR link: 3.757647
- CPC link: $2.233903
- CTR all: 2.890933
- CPC all: $2.903636
- Unique outbound clicks: 16
- Unique link clicks: 17
- LPVs: 11
- Cost per LPV: $5.807273
- Adds to cart: 4
- Cost per ATC: $15.97
- Checkouts initiated: 10
- Cost per checkout initiated: $6.388
- Direct website purchases: 3
- Avg purchase value implied: ~$73.48
- This is the strongest visible ad-level purchase performer in the sample, but very small spend/sample.
4) Feb_2026_2_static under RemarketingCampaign_Feb26 _NewLaunch
- Spend: $146.57
- Impressions: 3,044
- Reach: 1,675
- Frequency: 1.817313
- CPM: $48.15046
- Purchases: 0
- CTR link: 2.873922
- CPC link: $1.675427
- CTR all: 2.873922
- CPC all: $1.675427
- Unique outbound clicks: 43
- Unique link clicks: 46
- LPVs: 35
- Cost per LPV: $4.187714
- Adds to cart: 4
- Cost per ATC: $36.6425
- Checkouts initiated: 4
- Cost per checkout initiated: $73.285
- No purchases.
5) Subscription_Ad under RemarketingCampaign_Feb26 _NewLaunch
- Spend: $1.52
- Impressions: 46
- Reach: 45
- Frequency: 1.022222
- Clicks all: 3
- Unique outbound clicks: 2
- LPVs: 3
- Cost per LPV: $0.506667
- Tiny sample, no purchases.
GAPS/UNCERTAINTY
- No screenshots exist despite prompt asking to note visible screenshots.
- Dataset is truncated; not all ads, ad sets, or campaigns are visible.
- No Shopify / backend order data, blended CAC, MER, profit margins, AOV targets, repeat rate, NC-ROAS, or purchase order value targets.
- “Purchase order” likely means purchases/orders, but exact KPI definition is not clarified.
- No breakdowns by:
- placement
- creative format at scale
- audience size
- geography performance
- age/gender full summary
- prospecting vs remarketing totals over full account
- time trends / learning phase / bid strategy stability
- No website analytics or funnel diagnostics beyond Meta-reported LPV/ATC/IC/purchase.
- No cost-saving threshold specified:
- desired CPA
- desired ROAS
- contribution margin
- Attribution inconsistency may distort comparisons.
- Some rows have contradictory funnel math or unusual patterns:
- Cube_openINT_Mar20,2026 shows 8 ATCs with only 7 LPVs
- Remarketing campaign Feb26 has checkouts but zero purchases
- Some campaigns optimize for ATC while client KPI is purchase
- Many performance conclusions are based on very small sample sizes:
- e.g. 1 purchase, 3 purchases.
- Reporting period appears future-dated relative to today’s actual calendar; likely exported from account with 2026 dating, but cannot validate chronology.
RECOMMENDED ANALYSIS ANGLE
- Anchor analysis on purchases and cost per purchase only; treat ATC-optimized wins as secondary signals, not scaling proof.
- Primary recommendation direction likely:
1) cut or cap spend on campaigns/ads with strong ATC but weak purchase conversion
- especially Cube_DetailedTargeting_ATC_Mar26 at campaign level: 31 ATCs, 1 purchase, CPA $187.85
- “Video ad 5” looks attractive on engagement/ATC but produced 0 purchases
2) consolidate spend into purchase-generating remarketing and best purchase creative
- strongest visible ad: “Video ad 3 – Copy” with 3 purchases, CPA $21.29, ROAS 3.45
- campaign-level best scale among purchase campaigns is less clear; Cube_Remarketing_March2026 generated 6 purchases but CPA $76.56 / ROAS 0.75, while Adv+ Cat also 6 purchases but CPA $94.99 / ROAS 0.97
3) separate prospecting vs remarketing budgets and KPIs
- purchase KPI for remarketing
- prospecting can be judged by cost to quality traffic + downstream assisted conversions, but should still optimize to purchases if volume allows
4) flag optimization mismatch
- if main KPI is purchase orders, ATC optimization likely wastes money unless purchase volume is too low
5) look for creative cloning/expansion from the only visible winning purchase ad (“Video ad 3 – Copy”)
6) reduce waste by pausing expensive purchase ads:
- “Video ad 5 – Copy” CPA $205.70, ROAS 0.21
- campaign/ad sets with no purchases after meaningful spend
7) mention that account likely needs broader funnel diagnosis because many campaigns get clicks/ATCs/checkouts but not enough purchases, suggesting either:
- weak checkout conversion onsite
- mismatch between ad promise and landing page/product offer
- or noisy pixel attribution
- Agent 2 should frame decisions by simple operator rules:
- scale if purchases exist at acceptable CPA/ROAS and sample is credible
- hold/test if purchase signal exists but sample is too small
- cut if spend is meaningful with zero/poor purchases even when ATC looks strong
Your stated KPI is purchases/orders, so I anchored this review on visible purchase rows only and treated add-to-cart efficiency as secondary. Based on the exported Meta data provided, the account is getting traffic and mid-funnel activity, but most of the visible spend is not converting into purchases efficiently enough.
The cleanest read from the sample is:
Visible purchase-driving campaigns are still expensive at campaign level:
Meanwhile, one visible prospecting-style campaign is a strong warning sign for your KPI:
Confidence tiers
High confidence / no-regret Cut spend from purchase-weak ATC-heavy campaigns and from clearly expensive purchase ads.
Medium confidence / directional Rebuild scale around the best visible remarketing purchase creative and cautiously test small-budget expansion from the one small-sample open-interest purchase row.
Low confidence / measurement-gated Any aggressive scaling plan beyond that should wait for purchase-only reporting consistency.
The biggest visible savings are not coming from bid tweaks. They come from stopping spend on rows where Meta found cheap engagement or ATCs but failed to produce purchases. Based on the visible sample, that means your first cost-control lever is objective/optimization discipline, not more reach.
No keyword or search-term data was provided. This is Meta export data, so there are no search terms to negate or keywords to isolate from the evidence you uploaded.
I do not have landing-page analytics, heatmaps, Shopify checkout data, or on-site conversion reports, so this section is directional only. Still, the Meta funnel pattern suggests a leak between click/ATC activity and final purchase completion.
You asked two things: how to scale more purchases and how to save money.
If you want, I can turn this into a tighter media-buyer playbook next: exact campaign relaunch structure, budget split, and what to name/clone/hold in Meta.
VERDICT approve_with_warnings SCORES request_match: 4/5 evidence_grounding: 4/5 detail_sufficiency: 4/5 actionability: 4/5 clarity: 4/5 overall: 4/5 WHAT WORKED - Correctly anchored the analysis on purchases/orders, which matches the client KPI. - Used the strongest visible evidence appropriately: - Cube_Remarketing_March2026 at $459.33 spend / 6 purchases = $76.56 CPA, ROAS 0.75. - Cube | Adv+ Cat | Mar26 at $569.94 / 6 = $94.99 CPA, ROAS 0.97. - Cube_DetailedTargeting_ATC_Mar26 at $187.85 / 1 = $187.85 CPA despite 31 ATCs. - Ad “Video ad 3 – Copy” at $63.88 / 3 = $21.29 CPA and ROAS 3.45. - Ad “Video ad 5 – Copy” at $205.70 / 1 = $205.70 CPA and ROAS 0.214. - Correctly warned against treating ATC ROAS as purchase proof. - Correctly noted attribution inconsistency, mixed optimization/result types, truncated exports, and small-sample risk. - Recommendations broadly line up with the evidence: cut purchase-weak spend, focus remarketing tighter, and treat the 1-purchase open-interest row as a capped test only. - Good handling of the “ad group/keyword/search term” mismatch by explicitly saying Meta exports do not support that section. FAILURES - The answer overreaches in a few places from partial data. Example: “budget was diluted into weaker ads” inside Cube_Remarketing_March2026 is plausible but not fully proven from the provided sample because the export is truncated and not all ads are visible. - It recommends duplicating/relaunching “Video ad 3 – Copy” as the “primary active purchase creative.” That is directionally reasonable, but still based on only 3 purchases and $63.88 spend. The answer does mention small sample size, but the operational recommendation is a bit stronger than the evidence supports. - It implies a site-side leak between click/ATC and purchase. That is a valid hypothesis, but not demonstrated. The answer partially qualifies this, yet still leans on it as a meaningful interpretation without backend/site analytics. - It sometimes treats inactive campaigns as if restart decisions are the key lever, but the visible data only shows historical inactive rows. That is okay operationally, but the answer could be clearer that current live-state decisions cannot be confirmed from the sample. - It does not prioritize recommendations tightly enough by expected impact. There is a lot of useful advice, but the hierarchy between “must do now” vs “nice to validate” could be sharper. MISSED EVIDENCE - It did not explicitly use one of the strongest cautionary signals: RemarketingCampaign_Feb26 _NewLaunch had 4 checkouts initiated but 0 purchases at campaign level. That supports the “do not restart as-is” call more strongly than stated. - It did not mention that the best visible campaign-level purchase ROAS is still below 1.0 even for Adv+ Cat (0.965), which is important for the “save money” objective. It said ROAS below 1, but could have emphasized that there is no visible scaled campaign actually meeting profitable efficiency. - It did not explicitly mention the oddity that Cube_openINT_Mar20,2026 had 8 ATCs from 7 LPVs as a possible tracking anomaly in the main decision summary; this only appears later in caveats. - It did not mention the campaign-level CPM/CPC inefficiency contrast in remarketing: - Cube_Remarketing_March2026 CPM $77.20 and LPV cost $6.12 - Adv+ Cat LPV cost $3.48 This could have helped explain why some campaigns are expensive beyond just CPA. - It did not call out that many rows are inactive or zero-spend, meaning observed “most active campaigns” are based only on visible sample, not full-account totals. HALLUCINATION CHECK - No major fabricated metrics detected. Most numbers cited match the handoff. - One soft overclaim: “At campaign level, remarketing is where the clearest purchase volume appears in the export.” This is mostly fair, but not definitive because Adv+ Cat also had 6 purchases and the dataset is partial. - One soft overclaim: “budget was diluted into weaker ads.” Likely true, but not fully evidenced because only a subset of ads is visible. - One speculative recommendation not directly evidenced: “separate by recency and intent” in remarketing setup. The answer labels this as conditional, which helps, but it is still not derived from the exports. - No obvious arithmetic errors found in the cited CPAs/ROAS. REVISION NEEDED - Tighten claims that infer causes from partial evidence: - Replace “budget was diluted into weaker ads” with “the visible ad mix includes at least one very weak ad, which may be dragging campaign efficiency.” - Replace stronger site-leak wording with “possible site-side friction or weak traffic quality; cannot confirm from Meta CSV alone.” - Add stronger prioritization: 1) keep ATC-heavy / purchase-weak campaigns off 2) cut clearly expensive purchase ads 3) test only the small-sample winners with capped budget 4) standardize attribution and optimization before broader scaling - Be more explicit that no visible campaign has proven scalable profitable purchase efficiency yet. The account has pockets of signal, not proven scale. - Slightly soften the relaunch recommendation for “Video ad 3 – Copy” to “test-first scale” rather than making it the primary creative by default. FINAL QA SUMMARY This is a solid answer and mostly faithful to the evidence. It matches the ask, uses the key purchase-focused metrics correctly, and avoids the biggest trap of confusing ATC efficiency with purchase success. The math is sound and the practical recommendations are mostly sensible. However, it still leans a bit too confidently on partial/truncated data, especially when inferring why the remarketing campaign underperformed or suggesting a stronger relaunch around a 3-purchase ad than the sample really proves. Good enough to approve with warnings, not strong enough for a 5.
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