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Metrics type: Key Metrics • Category: Ad Platform

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At a glance

Per-campaign drill-down of zero-conversion spend on Snapchat. The companion to Wasted Spend. Each row is a campaign live more than 7 days that produced zero attributed purchases. The 7-day filter excludes Learning-Phase campaigns (Snap’s algorithm typically needs 50+ purchases to fully optimise; campaigns younger than 7 days are still in this window). On Snap, this card commonly surfaces vertical-fit failures and high-iOS-share attribution false-positives more than creative-fatigue cases.

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Calculation

Calculated automatically from your Snapchat Ads data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.

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Worked example

A US Gen-Z DTC fashion brand. 30-day window 02 Apr 26 to 01 May 26. Account currency USD. CAPI live. iOS share 73%. What this is telling you, row by row:
  1. Cold prospect, gym-equipment 25-45 male ($1,400, 28 days, zero conversions). CTR 0.45% is below platform average. Audience is firmly outside Snap’s vertical fit (older male, industrial product). Vertical-fit failure. Pause permanently and don’t re-test on Snap. Redirect to Meta where this audience converts.
  2. Cold prospect, yoga 25-34 female ($920, 21 days). CTR 1.00% is platform-average; the audience clicks but doesn’t convert. Two reads: (a) audience too narrow (broaden to 18-34) → likely converts; (b) Snap can’t break through with this product on this demographic → pause. Test the broaden first.
  3. AR Lens, branded selfie filter ($1,400, 14 days). 6.2M impressions, 12k engagements. Direct conversions zero is expected, Lens is awareness-tier. Filter objective in ('LENS', 'AWARENESS') from the alert rule.
  4. Story Ads creator boost ($480, 11 days). CTR 3.00% is excellent (well above platform average). Zero conversions despite strong engagement is the awareness-tier shape on creator partnerships. Watch, don’t pause. Spark Ads-equivalent on Snap have brand-equity value beyond direct attribution. Judge on 60, 90 day MMM read.
  5. Brand Awareness hashtag flight ($1,800, 9 days). Reach-objective; zero direct conversions is expected. Filter from alert rule.
Action priority:
  1. Pause the gym-equipment cold prospect today (clearest vertical-fit failure, $1,400 freed).
  2. Broaden the yoga audience to 18-34 for one more period (low cost, high information value).
  3. Filter AR Lens and Brand Awareness from the alert rule (configure objective not in ('LENS', 'AWARENESS', 'BRAND_AWARENESS')).
  4. Reallocate $1,400 to LAL 1% (purchasers) and 7d-cart-abandoner retargeting.
Quick sanity tests:
  • Same vertical-fit-failure audience appearing for 2+ periods = your team is testing audiences outside fit. Stop.
  • AR Lens / Brand Awareness rows = filter, not pause.
  • High-CTR / zero-conv rows = downstream problem (landing, pricing) or awareness-tier objective. Don’t fix at the ad level.
  • iOS-heavy campaign appearing = check GA4 / Shopify before pausing. Could be attribution gap.
  • New campaigns appearing day-1 of life = the 7-day filter is misconfigured; tighten.

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Sibling cards merchants should reference together

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Reconciling against the vendor’s own dashboard

Where to look in Snap Ads Manager: Snap Ads Manager > Campaigns > sort by Purchases ascending, filter Spend > 0, filter Created > 7 days ago. Top of the sort matches this card’s list. Other relevant views:
  • Reports > Custom > Campaign Performance (downloadable).
  • Audience Insights per campaign for vertical-fit diagnosis.
  • Delivery > Learning Phase status.
Why our number may legitimately differ from Snap: Cross-connector reconciliation:

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Known limitations / merchant FAQs

Why is the same campaign appearing here for 3 weeks running? On Snap, almost always vertical-fit failure. The audience is outside Snap’s natural fit window (older demographic, B2B-leaning, industrial product, mass-market non-lifestyle). Creative or audience tuning won’t fix this; the channel can’t reach the buyer. Pause and never re-test. Try this audience on Meta or Google Ads instead. The campaign just started, why is it on this list? The 7-day age filter should exclude very new campaigns. If a 2-day-old campaign appears, the alert configuration is overriding the default; tighten to campaign_age_days >= 7 (or 10, 14 days for low-volume Snap accounts where Learning Phase takes longer). My AR Lens always appears here, is that a problem? No. AR Lens (auction self-serve) is awareness-tier; direct purchase attribution is the wrong measure. Configure the alert rule to exclude objective in ('LENS', 'AWARENESS'). The Lens value lives in branded-search lift and earned impressions, measured 30, 60 days later. Should I pause every campaign on this list? No. Triage:
  1. Vertical-fit failure: pause permanently.
  2. Vertical-fit edge: broaden audience first; if still wasted next period, pause.
  3. Awareness / Lens objective: filter from alert.
  4. High-iOS-share (>60%) campaigns: cross-check GA4 / Shopify; could be attribution gap, not real waste.
  5. Creator-boost / Story Ads partnerships with high CTR but zero conversions: watch, don’t pause; brand-equity value lives off-platform.
Why is iOS share on these campaigns higher than my account average? Common pattern. iOS-heavy campaigns over-represented because Pixel-only attribution misses iOS purchases. CAPI rollout dramatically reduces this list’s length on iOS-heavy accounts (typical 30, 50% reduction). My CAPI is live, this list got shorter. Real or measurement? Both. Real conversions that happened on iOS but were invisible to Pixel get attributed back, dropping campaigns off the list. Underlying performance didn’t change, just measurement did. Don’t claim a creative or audience win from a list-shrinkage event. How do I tell vertical-fit failure from creative fatigue on Snap? Look at the campaign’s history (in Campaign Comparison):
  • Vertical-fit failure: campaign never converted from launch, multiple creatives tested. Audience is outside Snap’s fit. → Pause permanently.
  • Creative fatigue: campaign converted historically (e.g. ROAS 3+ for 4, 6 weeks), then dropped to zero. Same audience, different time. → Refresh creative.
Snap creative-fatigue is slower than TikTok (4, 6 weeks vs 2, 3 weeks). Brand Awareness flights showing here, why? Brand Awareness objective campaigns optimise to reach + frequency, not purchases. Filter the objective from the alert rule. Judge BA flights via brand-search lift on Google over 30, 60 days, follower growth on the brand Snap account, and earned-impressions estimates from Snap’s BA reporting. Story Ads creator boosts always zero-conv, why? Creator-led Story Ads have brand-equity value (audience association, content rights, post-flight UGC) that doesn’t show up in direct conversion attribution. Don’t kill creator boosts on direct ROAS. Run them on a separate ROAS budget line and judge on a 60, 90 day MMM read or a controlled brand-lift study. The list keeps growing week-over-week, what’s happening? On Snap this is almost always vertical-fit creep: progressive testing of audiences progressively further from Snap’s natural fit. Roll back to the last 30-day window when the list was acceptable; identify the audiences active then; rebuild around those. My account has been on Snap for 12 months and ROAS is below 1.5x consistently. What now? Vertical-fit failure at the brand level. Pull spend permanently from Snap and redirect to TikTok / Meta / Google Ads. Some brands genuinely cannot reach their buyers on Snapchat; identifying this fast saves 6, 12 months of fruitless tuning. The signal is clear: 12 months at <1.5x ROAS is structural, not tactical.

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Tracked live in Vortex IQ Nerve Centre

Zero-Conversion Spend is one of hundreds of KPI pulses Vortex IQ tracks across Snapchat Ads 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 or book a demo to see this metric running on your own data.