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Metrics type: Key Metrics • Category: Ad Platform

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At a glance

Spend on TTD placements (publisher domains, app bundles, audience segments, supply paths) that drove zero attributed conversions in the window, including cross-device attributions. TTD’s strict pre-bid IVT and superior cross-device attribution mean the wasted-spend figure is genuinely “wasted”, not measurement-blocked. Acting on this card is more reliable than on peer DSPs.

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Calculation

Calculated automatically from your The Trade Desk 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

The same enterprise homeware brand. Window 02 Apr 26 to 01 May 26. Total spend $128,000. What’s interesting:
  1. 1.5% wasted spend is exceptional. Healthy DSP runs 4, 8%; under 2% suggests TTD’s pre-bid IVT and Koa’s auto-deweighting are working very well. No structural issue; the named placements are still actionable but small in absolute terms.
  2. The weather widget app ($620) is the standard click-fraud suspect, blocking is the right action.
  3. Regional sports audio ($480) is audience mismatch.
  4. Niche programmatic display segment ($820) at 18 days is borderline; Koa is exploring a long-tail audience segment that hasn’t converted. Wait until day 30 before final action.
  5. Total potential savings $1,920 is small absolute but worth the housekeeping; on TTD the savings tend to net out close to face value because Koa’s reallocation is more efficient than peer DSPs.
  6. Compared to MediaMath wasted-spend example ($2,660 / 3.7%): TTD’s pre-bid IVT is doing more work upstream, which is why the surfaced waste is lower. Same brand, same audiences, lower waste percentage on TTD.
Quick sanity tests:
  • Wasted % rising = inventory degrading; rare on TTD given pre-bid filtering quality.
  • Wasted % stable at 1, 4% = healthy; lower than peer DSPs.
  • Wasted % spiking on a single placement = audience mismatch; investigate.
  • High wasted % on in-app placements = bundle list needs curating; mobile gaming and weather widget are usual suspects.
  • Zero wasted spend = over-allowlisted, missed scaling.

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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 TTD: TTD Platform → Reports → Site/App Breakdown for the same window. Filter to placements with zero conversions; spend column should match this card to within sub-percent rounding. Why our number may legitimately differ from TTD UI: Cross-connector reconciliation:

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Known limitations / merchant FAQs

Why is my TTD wasted-spend % so much lower than StackAdapt? TTD’s pre-bid IVT filtering is stricter than peer DSPs; bad inventory is filtered before bidding rather than refunded after. The wasted-spend card therefore surfaces less measurement noise and more genuine audience-or-creative-mismatch placements. Expect TTD wasted % to be 40, 60% lower than StackAdapt or MediaMath on equivalent campaigns, this is not a campaign performance gap, it’s measurement quality. What’s the “right” wasted-spend percentage on TTD? 1, 4% on a healthy account. Below 1% suggests over-allowlisting; above 5% suggests audience-targeting issues despite TTD’s pre-bid filtering. Should I block immediately on TTD? You can be slightly more aggressive than on peer DSPs because TTD’s signal is cleaner. Wait 10+ days (vs 14 on peers) before blocking; the lower noise floor lets you act on smaller samples. Why is in-app display still in the wasted list despite TTD’s strict IVT? Pre-bid IVT catches the worst click-fraud, but legitimate-but-low-quality inventory still slips through. Mobile gaming and weather widget bundles are known low-conversion audiences for most DTC categories, even when traffic is human. My CTV PMP placement shows wasted spend, what’s wrong? Check view-through window first (1d vs 7d). Premium CTV PMPs (Disney+, Hulu) almost always convert via cross-device, so 1-day view-through misses most of the conversion path. Set view-through to 7 days. Why do similar bundles waste on TTD and StackAdapt but not on Google? DV360/Google Ads buys through Google’s own AdX with tighter quality controls; TTD and StackAdapt buy through the broader programmatic ecosystem (Magnite, Pubmatic, OpenX, Index). Curate your bundle allowlist consistently across both DSPs. My wasted spend dropped sharply but ROAS also dropped slightly, what happened? You over-blocked. Aggressive blocks shrink the inventory pool Koa can choose from; the algorithm bids up on remaining inventory. On TTD specifically, the over-block penalty is smaller than on peer DSPs because Koa’s reallocation is more efficient, but it still exists. Use bundle-level CPM caps for borderline cases. Can I block specific URLs within a publisher (e.g. nytimes.com/sports)? Better than peer DSPs. TTD supports section-level blocking on more publishers via custom inclusion/exclusion lists; not all publishers, but the coverage is wider than StackAdapt or MediaMath. What’s Koa’s role in wasted spend? Koa explores by design but de-weights low-converting placements quickly. Most “wasted” placements you see on this card are placements Koa is on the verge of de-weighting; the card surfaces them slightly before Koa’s automatic action. You can either accept Koa will handle it (next 7, 14 days) or hard-block to accelerate. How does this card differ from Zero-Conversion Spend? Same as on every DSP: this card is placement-level; Zero-Conversion is campaign-level. Read both for full picture.

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Tracked live in Vortex IQ Nerve Centre

Wasted Spend is one of hundreds of KPI pulses Vortex IQ tracks across The Trade Desk 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.