At a glance
Real-time alert for a sudden spike of zero-conversion spend on the Microsoft Audience Network. The Audience Network is on by default and uses auto-extension to find new placements, which means it can drift onto low-quality publishers and apps very fast. Left unchecked, that drift can eat a meaningful slice of the week’s budget on traffic that never converts. This card catches the burst early, before the budget is gone, so you can exclude the placements or dial back the network rather than discover the waste in next week’s report.
| What it watches | Spend that produces no conversions on Microsoft Audience Network placements, evaluated as a short-window burst rather than a slow monthly total. |
| Why Audience Network specifically | Search spend is intent-driven and self-limiting. The Audience Network is impression-driven and auto-extends to new placements, so it is the surface most prone to sudden low-quality drift. |
| What “wasted spend” means here | Spend on Audience Network placements with zero attributed primary conversions inside the recent window. |
| Cost basis | Gross media cost, post Click Quality filter. The figure Microsoft will bill you for. |
| Currency | Account currency. |
| Conversion attribution | UET-based primary conversions, default last-click cross-device. View-through excluded by convention. A placement counts as wasted only if it produced no primary conversions in the window. |
| Bot / invalid traffic | Spend is post-Click-Quality-filter, but the Audience Network sees more low-engagement and accidental clicks than Search, which is part of why drift here is costly. |
| Time window | Real-time burst detection over a recent multi-day window so a single quiet placement does not trigger it. |
| Alert trigger | Zero-conversion spend on any Audience Network placement crossing an account-tuned amount inside the recent window. The threshold scales with your normal Audience Network spend. |
| Roles | owner, marketing, finance |
Calculation
Calculated automatically from your Microsoft Ads (Bing) 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 US DTC supplement brand runs Search plus a modest Audience Network presence for retargeting. The alert evaluates over the trailing 72 hours on 18 Mar 26.| Placement | Network | Spend (72h) | Conversions | In burst set? |
|---|---|---|---|---|
| Cart-abandon retarget | Audience Network | $210 | 6 | No |
| Lookalike prospecting | Audience Network | $640 | 0 | Yes |
| ”News aggregator app cluster” | Audience Network | $480 | 0 | Yes |
| Brand Search | Search | $390 | 41 | No (Search) |
| Non-brand Search | Search | $720 | 22 | No (Search) |
- This is drift, not a strategy change. The cart-abandon retargeting placement is still converting normally. The damage is concentrated in newly auto-extended placements, the lookalike prospecting and an app cluster the network found on its own.
- The app cluster is the textbook drift symptom. Auto-extension reaches into the Microsoft Audience Network’s app and publisher inventory, which can include low-intent placements that generate clicks and zero purchases. These are the first to exclude.
- The pace is the alarm, not the absolute number. 1,120 in 72 hours against a $250 weekly norm means the whole week’s budget could be consumed before anyone notices.
- Hold the budget, do not just pause and walk away. Exclude the offending placements, tighten the Audience Network bid or split it into its own campaign with a hard cap, and recheck. The retargeting that still works should keep running.
- Drift concentrated in new placements with proven retargeting still converting = exclude placements, keep the network.
- Zero conversions across all Audience Network placements at once = check the UET tag first; this may be a tracking break, not drift.
- Burst coincides with a budget increase = the network spent the new headroom on cheap inventory; cap it and force the budget back to Search.
Sibling cards merchants should reference together
| Card | Why pair it with Wasted-Spend Burst |
|---|---|
| Microsoft Ads Wasted Spend | The keyword-level cousin over the full window. This card is the fast Audience Network burst; that one is the slow account-wide total. |
| Microsoft Ads Zero-Conversion Spend | The whole-campaign view of the same idea. A drifting Audience Network campaign often surfaces here too. |
| Microsoft Ads Spend by Device | Audience Network skews differently by device than Search; helps confirm where the burst landed. |
| ROAS Dropped Below Threshold | Drift drags blended ROAS down. If both fire, the Audience Network is the likely ROAS leak. |
| UET Tag Tracking Broken | Rule this out first. A tag break can make healthy Audience Network spend look like waste. |
| Microsoft Ads Overspending Campaigns | If the burst came with a budget increase, this card shows which campaign absorbed it. |
Reconciling against Microsoft Advertising
Where to look in Microsoft Advertising: Microsoft Advertising → Reports → Performance → Website (Publisher) report, filtered to the Audience Network, with Spend and Conversions columns and a short date range. Sort by spend descending and read off the placements with zero conversions. Summing those over the recent window should match this alert closely. Other Microsoft Advertising views that look related but differ:- The Network segment on a campaign report shows Audience Network versus Search split but not the per-placement breakdown; you need the publisher or website report to find the specific drifting placements.
- Auto-targets and dynamic placements can appear under different labels than the campaigns you built; the spend is still yours and still counts here.
| Reason | Direction of divergence |
|---|---|
| Real-time ingestion lag. Conversions can arrive hours after the click, so very recent placements may look worse than they will settle. | Ours higher on the freshest window |
| Placement attribution. Microsoft may roll some app inventory into grouped labels. | Per-placement totals may not line up one-to-one |
| Burst window vs UI date range. The alert uses a rolling recent window; a manual UI range rarely matches it exactly. | Either |
| Card | Expected relationship | What causes legitimate divergence |
|---|---|---|
google_ads.gads_wasted_spend | Google’s Display Network drift is the direct analogue; a brand prone to one is often prone to the other | Different inventory and auto-extension rules mean the timing rarely matches. |
shopify.total_revenue | If commerce revenue held while this burst grew, the Audience Network spend genuinely added no sales | Late-converting awareness traffic can occasionally show value downstream; check assisted conversions before fully writing it off. |