> ## Documentation Index > Fetch the complete documentation index at: https://docs.vortexiq.ai/llms.txt > Use this file to discover all available pages before exploring further. # Zero-Conversion Spend, Meta Ads (Facebook) > Zero-Conversion Spend for Meta Ads (Facebook) stores. Tracked live in Vortex IQ Nerve Centre. How to read it, why it matters, and how to act on it. **Metrics type:** [Key Metrics](/nerve-centre/overview#metrics-types-explained) • **Category:** [Ad Platform](/nerve-centre/connectors#connectors-by-type) ## At a glance > Spend on **campaigns more than 7 days old** that have produced zero attributed purchases. Stricter than [Wasted Spend](/nerve-centre/kpi-cards/facebook-ads/wasted-spend) because it filters out fresh campaigns still in the Meta learning phase. The "this campaign should be working by now and isn't" alert. | | | | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | **What it counts** | `SUM(spend)` for every campaign where `actions[purchase] = 0` AND `campaign_start_date < (today - 7 days)`. Excludes brand-new campaigns. | | **Insights API level** | Campaign-level. The card aggregates across all qualifying zero-conversion campaigns. Drill-down by campaign is in [Spend by Campaign](/nerve-centre/kpi-cards/facebook-ads/spend-by-campaign) sorted by purchases ascending. | | **The 7-day-old filter** | Meta's learning phase requires \~50 conversions in 7 days for an adset to optimise reliably. New campaigns can legitimately spend with no conversions for the first 5, 7 days while the model trains. **This card filters those out** to focus on campaigns where learning has had time and still isn't producing. | | **Currency** | Account currency. | | **Attribution model** | Whatever the account is configured for (default 7d/1d). | | **iOS 14.5+ ATT impact** | **Significant.** Same as Wasted Spend, ATT-blocked iOS conversions are invisible to Pixel-only campaigns. A genuinely-converting iOS-heavy campaign can flag here. **Without CAPI, expect 15, 30% false-positive rate.** | | **CAPI vs Pixel-only** | Pixel-only: false-positives common. CAPI live: cleaner read but still some modeled-conversion ambiguity. | | **Conversions vs all-conversions** | Purchase events only. A campaign with thousands of add-to-carts but zero purchases still flags. Use [All Conversions](/nerve-centre/kpi-cards/facebook-ads/all-conversions) for the broader view. | | **Frequency cap relevance** | A campaign with a tight frequency cap might spend slowly without converting; the cap is throttling delivery. Audit cap config before pausing. | | **Time window** | `30D` (last 30 days, with the 7-day-old campaign filter applied). | | **Alert trigger** | `>$0 on any campaign >7D old`. The default fires on any spend on any qualifying campaign. Tightening to `spend >$X` reduces noise on small test campaigns. | | **Roles** | owner, marketing, finance | ## Calculation Calculated automatically from your Meta Ads (Facebook) data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading. ## Worked example A UK home & garden DTC brand. Window: 02 Apr 26 to 01 May 26. Account currency GBP. iOS share 51%. CAPI live since 18 Mar 26. Today is 28 Apr 26. The card surfaces these campaigns: | Campaign | Started | Days old | Spend (£) | Purchases | Status | | --------------------------------------------- | --------- | -------- | ---------- | --------- | ------------------------------------------------ | | "Spring Sale, Outdoor Furniture" | 09 Apr 26 | 19 | 1,840 | 0 | Flagged | | "Awareness, BBQ Range" (Engagement objective) | 12 Apr 26 | 16 | 620 | 0 | Flagged (but objective is Engagement, not Sales) | | "Lookalike test, gardening enthusiasts 1%" | 18 Apr 26 | 10 | 980 | 0 | Flagged | | "Catalog Sales, full feed" | 20 Apr 26 | 8 | 1,100 | 14 | Not flagged | | "Black Friday teaser, early-warm-up" | 25 Apr 26 | 3 | 240 | 0 | NOT flagged (under 7d) | | **Account total flagged** | | | **£3,440** | **0** | | Three observations: 1. **The "Spring Sale, Outdoor Furniture" campaign is the priority pause.** £1,840 over 19 days with zero attributed purchases is unambiguous waste, even after iOS-gap correction. Possible causes: (a) creative didn't land (CTR is 0.6%, half the account average), (b) audience is too cold and the optimiser couldn't find converters, (c) landing page broke (check [Landing Page CR](/nerve-centre/kpi-cards/facebook-ads/landing-page-conv-rate)). **Action**: pause today, audit landing page, redesign creative for a re-launch. 2. **The "Awareness, BBQ Range" campaign is a false positive in this card's logic.** The campaign is on Engagement objective, not Sales, so by design Meta isn't optimising for purchases. Zero attributed purchases is expected. **Action**: exclude Engagement / Awareness / Reach objectives from this card's filter, OR ignore the alert for non-Sales campaigns. (Vortex IQ accepts an objective-filter override; ask the team to update the card config.) 3. **The "Lookalike test" campaign is borderline.** £980 over 10 days, zero purchases. iOS share on this audience is 58%. Without CAPI this would be a false-positive risk; **with CAPI live for 6 weeks, it's probably real waste.** Pause and re-run with a different LAL seed (current seed is "site visitors 90d"; try "purchasers 180d" instead, tighter intent signal). 4. **"Catalog Sales, full feed" is not flagged because it converted (14 purchases) within the window.** Healthy. £1,100 / 14 = £78 CPA, fine for this category. 5. **"Black Friday teaser" is excluded because it's only 3 days old.** Even though it's spent £240 with no conversions, it's still in learning phase. Re-evaluate at day 7 or later. **Don't pause learning-phase campaigns** unless spend has run away or CTR is catastrophically low. **Total actionable wasted-spend after exclusions: £2,820** (£1,840 Spring Sale + £980 LAL test). Pausing both frees up the budget for either a more-converting campaign or a fresh creative test on a different audience. ## Sibling cards merchants should reference together | Card | Why pair it with Zero-Conversion Spend | What the combination tells you | | --------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------- | | [Wasted Spend](/nerve-centre/kpi-cards/facebook-ads/wasted-spend) | The broader bucket (no 7-day-old filter). | Total wasted vs only-mature wasted. | | [Spend by Campaign](/nerve-centre/kpi-cards/facebook-ads/spend-by-campaign) | Drill-down on which specific campaigns are flagged. | The actionable list. | | [Conversions by Campaign](/nerve-centre/kpi-cards/facebook-ads/conversions-by-campaign) | Independent confirmation that the flagged campaigns truly have zero. | False-positive check. | | [CTR by Campaign](/nerve-centre/kpi-cards/facebook-ads/ctr-by-campaign) | If the flagged campaign has very low CTR (\<0.7%), the creative or audience is wrong. | Diagnose upstream. | | [Conversion Rate Trend](/nerve-centre/kpi-cards/facebook-ads/conversion-rate-trend) | If the whole account's CR is dropping, the issue is post-click (landing page, stockouts), not specific to flagged campaigns. | Distinguish account-wide vs campaign-specific. | | [Landing Page CR](/nerve-centre/kpi-cards/facebook-ads/landing-page-conv-rate) | The flagged campaign may be sending traffic to a broken or off-topic landing page. | Diagnose the post-click experience. | | [Frequency / Impressions Trend](/nerve-centre/kpi-cards/facebook-ads/impressions-trend) | A campaign with low frequency (\<2 in 7d) and zero conversions is mostly under-delivering, not failing. | Avoid premature pause on under-delivered campaigns. | | [GA4 Paid Social Sessions](/nerve-centre/kpi-cards/google-analytics/revenue-by-channel) | Independent attribution check. | If GA4 sees Paid Social sessions and conversions for the flagged campaign's UTM, the iOS gap is the cause; don't pause. | ## Reconciling against the vendor's own dashboard **Where to look in Meta Ads Manager:** [Meta Ads Manager → Campaigns → filter "Created date >7 days ago" → sort by "Purchases" ascending](https://business.facebook.com/adsmanager). Campaigns at the top of the sorted list with Spend > 0 and Purchases = 0 are the same set this card flags. Sum their "Amount Spent" column to reconcile. Other relevant Ads Manager views: * **Campaign-level Delivery → Learning Phase status**: campaigns stuck in Learning often appear here even past 7 days because they didn't hit the 50-conversion threshold to exit. * **Ads Diagnostics**: identifies creative-rejection, audience-overlap, low-quality-ranking issues on the flagged campaign. * **Reports → Predefined → Campaign Performance**: same data downloadable for sharing. **Why our number may legitimately differ from Meta:** | Reason | Direction | Why | | --------------------------------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **Time zone** | Boundary days off | The 7-day-old filter is on UTC dates; Meta uses ad-account TZ. A campaign launched at 22:00 PT may be "7d old" in Meta's view but only "6d 14h" in this card's UTC frame. Edge cases. | | **Attribution window changes** | Direction depends | Tighter windows (7d/1d vs 28d/1d) shrink the conversion pool; more campaigns flag here. | | **Modeled conversions inclusion** | Lower flag rate in our card | Modeled conversions count toward `actions[purchase]`. A campaign Meta modeled as having converted (without Pixel-confirmed conversions) won't be flagged. | | **Ingest lag** | Edge cases for "today" | Recent (1, 4h) conversions pending. Yesterday and earlier are stable. | | **Advantage+ opacity** | Same on the headline | Advantage+ Shopping campaigns aggregate internally; the campaign-level purchase total is reliable. | **Cross-connector reconciliation:** | Card | Expected relationship | What causes legitimate divergence | | ------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------- | | [`google_analytics.ga_revenue_by_channel`](/nerve-centre/kpi-cards/google-analytics/revenue-by-channel) | If the flagged campaign's UTM tag shows Paid Social conversions in GA4, the iOS gap is the cause. Don't pause. | Real iOS conversions are visible to GA4 (with Consent Mode v2) but not to Meta Pixel. | | [`shopify.total_revenue`](/nerve-centre/kpi-cards/shopify/total-revenue) | UTM-tagged Meta-source revenue should account for any "real" conversion the flagged campaign drove. | Shopify only knows what UTM tags allow. | | [`google_ads.gads_zero_conversion_spend`](/nerve-centre/kpi-cards/google-ads/zero-conversion-spend) | Cross-platform peer (also age-filtered). | Different ecosystems, run separate diagnostic loops. | ***
Documentation cross-reference (when to override the 7-day filter) The 7-day-old filter avoids false alerts on campaigns still in learning phase. **Override it** when: * A campaign has been running 5 days, has spent >2× the daily cap, has CTR \<0.5%, and frequency >3. The math says "this is failing fast"; don't wait for day 7. * A campaign was paused mid-flight and re-enabled, the "campaign age" reads from creation date, not from re-enable. A 14-day-old paused campaign that just re-enabled has effectively zero learning-phase status; treat like a new campaign. * Multiple campaigns in the same account changed audiences mid-flight. Audience changes reset the learning phase even though campaign age is preserved.
## Known limitations / merchant FAQs **Why is the 7-day-old filter important?** Meta's learning phase needs \~50 conversions in 7 days for an adset to leave the unstable training period. **Campaigns in learning phase legitimately spend without converting** while Meta calibrates. Pausing them prematurely re-starts the learning clock when you re-enable, wasting more spend over time. This card waits for campaigns to mature past the learning window before flagging. **iOS 14.5 ATT impact, the structural answer for this card:** Same as ROAS and Wasted Spend, ATT-blocked iOS conversions are invisible to Pixel-only campaigns. A campaign serving heavily to iOS may genuinely convert but read as zero-conversion here. **Without CAPI, expect 15, 30% false-positive rate.** With CAPI live, false positives drop to 5, 10%. **Wait for CAPI before paunsing borderline iOS-heavy campaigns.** **What's the practical CAPI rollout playbook for fixing this card?** 1. Roll out CAPI for `purchase` events. 2. Verify Events Manager shows post-rollout event volume up 20, 40%. 3. Wait 14 days for Meta's attribution model to stabilise. 4. Re-read this card. Several "zero-conversion" campaigns will now show conversions; those were the iOS false positives. 5. Pause whatever still flags after this rebaseline, those are real failures. **How do I interpret modeled conversions for this card?** Meta's modeling can claim conversions for specific campaigns based on ATT-blocked-iOS user-behaviour models. **A flagged campaign with NO modeled conversions is a strong "real waste" signal** (Meta's own model couldn't justify imputing a conversion). A flagged campaign with high modeled-conversion attempts but still zero attributed is in the gray zone. CAPI plus a re-evaluation is the right next step. **Why is Advantage+ Shopping never on the flagged list?** Advantage+ campaigns aggregate spend across audiences and placements internally. Even if some inner segment is failing, the campaign total reads as having conversions. **Same opacity tradeoff as Google PMax.** If you suspect Advantage+ is wasting on certain audiences, run a parallel manual broad campaign with explicit audience targeting for diagnostic visibility. **Meta-vs-Google-Ads attribution differences for this card:** Google Ads has the same concept (search campaigns with zero conversions after age threshold) but the actuation is different. Google: add zero-converting search terms as negative keywords. Meta: pause the campaign or restructure the audience. **Both platforms typically show 2, 5 zero-conversion campaigns at any time on a healthy account.** Zero campaigns flagged usually means you've stopped testing. **Can I trust today's reading?** Less than the 7-day rolling. Recent ingest lag and Pixel/CAPI dedup settling can leave today's read noisy. Read the rolling weekly count of flagged campaigns, not today's snapshot. **Multi-account / multi-currency, how does this card aggregate?** Per-ad-account. A campaign in account A is independent of a campaign in account B. Sum spend (not count) across accounts for a portfolio view; **don't compare counts across accounts of different sizes**. \*\*Why is "spend > $X on zero-conversion campaign >7d old" the trigger?** The default fires on any spend; a small test campaign can spend $50 with no conversions and trigger an alert. Most teams tune the threshold to "spend > $200" or "spend > 1× daily cap" so the alert focuses on materially wasteful campaigns. **Tune the threshold to your account size**: $50 may be material on a $500/day account but invisible on a $50k/day account. **Pixel vs CAPI dual-implementation, how does it affect this card?** A properly-deduplicated dual setup (both fire, Meta dedupes via `event_id`) gives the most accurate zero-conversion read. A broken dedup setup (events double-count) under-states this card's flag count, some really-zero-converting campaigns will appear to have converted because Pixel + CAPI double-fired on a single conversion. **Test dedup in Events Manager before trusting either direction of this card.** **My flagged campaign is on Engagement objective, why is it here?** By default this card filters on purchase conversions only, regardless of campaign objective. **An Engagement-objective campaign is expected to have zero purchases** because Meta isn't optimising for purchases. Either (a) ignore the alert for non-Sales-objective campaigns, or (b) configure the card to filter on objective. Vortex IQ accepts an objective-filter override; ask the team to set `exclude_objectives: [engagement, awareness, reach, video_views, traffic]` on the card config. *** ### Tracked live in Vortex IQ Nerve Centre *Zero-Conversion Spend* is one of hundreds of KPI pulses Vortex IQ tracks across Meta Ads (Facebook) and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English. [Start for free](https://app.vortexiq.ai/login) or [book a demo](https://www.vortexiq.ai/contact-us) to see this metric running on your own data.