At a glance
Sum of spend on Taboola placements (publisher sites or audience segments) that drove zero conversions in the window. The “obvious savings” number; this is money that produced clicks but no purchases. Native is patient by design (long conversion lag), so wait at least 14 days before acting on a zero-conversion item; native publishers often take 7, 14 days for the long-tail conversions to surface.
| What it counts | Spend (in account currency) summed across publisher sites and audience segments that recorded zero conversions in the window but non-zero clicks. The “ad-platform” label is misleading on Taboola: there is no concept of “keywords” here; the equivalent dimension is publisher site or audience segment. |
| Cost basis | Whatever the underlying campaign was bidding on (CPC for content-recommendation, smartBid CPA for conversion-optimised). |
| Currency | Account currency. |
| Conversion attribution | Click-through, last-click within Taboola’s 30-day window. A placement that drove a click which later converted via Google Ads is counted as zero-conversion here (because Taboola did not get the credit). |
| Attribution window | 30-day click default. A placement showing zero conversions on a 7-day window may have several conversions on a 30-day window if your audience has a long deliberation cycle. |
| Bot / invalid traffic | IVT-filtered before billing; minor IVT slip-through is real but small. |
| Time window | 30D. Shorter windows give noisier reads; longer give stale ones. |
| Alert trigger | >$0 (any zero-conv placement). Practical interpretation: worth acting on when wasted spend > 5% of total spend AND the offending placements have >7 days of clicks (long-tail conversion exclusion). |
| Roles | owner, marketing, finance |
Calculation
Calculated automatically from your Taboola data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.Worked example
The same UK supplements brand. The 30-day window is 02 Apr 26 to 01 May 26. Total spend £15,000.| Publisher site | Spend (£) | Clicks | Conversions | Notes |
|---|---|---|---|---|
| dailymail.co.uk | 1,840 | 6,200 | 78 | Convertible inventory |
| msn.com | 1,420 | 4,800 | 42 | Convertible inventory |
| forbes.com (premium) | 980 | 2,100 | 12 | Convertible inventory |
| buzzfeed.com (long-tail) | 640 | 1,800 | 0 | Wasted, 18 days of clicks, no conversions |
| mirror.co.uk (mid-tail) | 420 | 1,400 | 0 | Wasted, 14 days, no conversions |
| various tier-3 sports blogs | 380 | 1,100 | 0 | Wasted, 21 days, audience mismatch |
| Other (74 publishers, all converting) | 9,320 | 36,900 | 622 | |
| Total wasted (this card) | £1,440 | 4,300 | 0 | 9.6% of total spend |
- 9.6% wasted spend on Taboola is high; the typical native account runs 4, 8% wasted. This account has a publisher-targeting issue, the auto-bid is finding inventory the audience does not engage with on a purchase basis. Action: add the three named publishers to a block list.
- The tier-3 sports blogs (£380) are the most obvious cut. Health-and-wellness content does not convert on a sports-blog audience; this is straight audience mismatch. Block immediately.
- buzzfeed.com (£640) is more nuanced. BuzzFeed has a young, mobile-first audience that may match your product but converts on a longer lag than 18 days. Check at 30 days; if still zero, block. If 1, 2 conversions appear, keep but cap CPC lower.
- mirror.co.uk (£420) is similar to BuzzFeed; UK tabloid readership has the right demographic but a higher proportion of “casual scroll” intent. Move from CPC to smartBid CPA so the algorithm can self-correct, then re-evaluate at 30 days.
- Don’t kneejerk-block based on this card. The £1,440 looks recoverable but blocking too aggressively shrinks the auction inventory smartBid can use, often raising CPC on the remaining inventory. Net savings of a publisher block are typically 60, 80% of the headline wasted-spend figure; the rest leaks back as higher CPC elsewhere.
- Wasted % rising over time = inventory degrading; auto-bid finding more low-quality publishers; check publisher allowlist.
- Wasted % stable at 4, 8% = normal; native exploration cost.
- Wasted % spiking on a single publisher = audience mismatch; block.
- Wasted % falls but conversions also fall = you blocked too aggressively; relax the block list.
- Zero wasted spend = you have probably allowlisted too tightly and missed scaling opportunities.
Sibling cards merchants should reference together
| Card | Why pair it with Wasted Spend |
|---|---|
| Taboola Zero-Conversion Spend | The campaign-level counterpart. This card is publisher-level; that one is campaign-level. Both surface the same root issue from different angles. |
| Taboola Total Spend | Context. Wasted spend is meaningful as a percentage of total, not as an absolute. |
| Taboola CPA by Region | If wasted spend concentrates in one region, the audience-targeting fix may be geographic before publisher-level. |
| Taboola CTR by Campaign | Wasted spend often correlates with low CTR; the placements clicked but did not engage. CTR < 0.2% on a publisher is the early warning. |
| Taboola ROAS by Campaign | The campaigns hosting wasted-spend publishers will show poor ROAS. Sort by ROAS ascending to find the action targets. |
| Outbrain Wasted Spend | Same structural pattern on the peer network. Compare publisher overlap; sometimes the same low-quality long-tail site hits both networks. |
| Google Ads Wasted Spend | Different mechanic on Search (zero-conversion keywords); same intent (find the obvious savings). |
Reconciling against the vendor’s own dashboard
Where to look in Taboola Backstage: Backstage → Reports → Site Breakdown for the same window. Filter to publishers with zero conversions; the spend column should match this card to within sub-percent rounding. Backstage does not surface “wasted spend” as a single number; this card derives it. Why our number may legitimately differ from a manual Backstage cut:| Reason | Direction | Why |
|---|---|---|
| Time zone | Boundary days off | Backstage uses account time zone; this card uses UTC. Marginal at 30D. |
| Long-tail conversion | Card runs slightly high until catchup | A publisher labelled “wasted” today may pick up 1, 2 conversions in days 7, 14 due to native’s long conversion lag. |
| Attribution window changes | Direction depends | If the merchant changed the attribution window mid-period, the wasted-spend set retroactively reflows. |
| Definition of “publisher” | None | Both this card and Backstage Site Breakdown use the same publisher dimension. |
| IVT credit timing | Card slightly high before credits post | IVT-credited spend stays in the wasted total briefly until refunds settle. |
| Card | Expected relationship | What causes legitimate divergence |
|---|---|---|
outbrain.out_wasted_spend | Independent. The two native networks rarely waste on the same publishers; aggregate native waste = sum of the two. | Different publisher mixes. |
google_ads.gads_wasted_spend | Different dimension (keywords vs publishers). Benchmark only. | Search waste is keyword-targeting; native waste is publisher-targeting. Different mechanics, similar discipline. |
google_analytics.ga_sessions_by_source | GA4 sessions tagged utm_source=taboola should not show 100% bounce on the wasted-publisher subset. | If GA4 shows healthy engagement on wasted publishers, the issue is conversion-tag, not audience quality. |