Total Revenue, AdRoll

Card class: Hero • Category: Ad Platform

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At a glance

AdRoll-attributed conversion value. SUM(conversion_value) for every purchase event AdRoll’s pixel + server-side tag captured within the configured attribution window, summed across line items at the advertisable level. This is AdRoll’s self-reported revenue, not the truth from your commerce platform; the two often disagree by 20, 50% post-iOS ATT. See Reconcile for the gap explanation.

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Calculation

Calculated automatically from your AdRoll 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 UK homeware DTC brand running AdRoll for site retargeting + lookalike prospecting + cart-abandon orchestration. The 30-day window is 02 Apr 26 to 01 May 26. Account currency GBP. AdRoll Conversions API server-side tagging is live (rolled out 18 Mar 26). Shopify-side total revenue for the same period: £218,000. Of that, UTM-tagged AdRoll-source revenue: £52,400. GA4 Display channel attributed revenue: £61,200. What the revenue pattern tells you:

1. The headline £95,800 is what AdRoll claims; the truth is closer to £55, 65k. Real AdRoll-driven Shopify revenue (probabilistic blend of UTM truth, GA4 display attribution, and AdRoll’s own measurement) is in that range. Don’t quote £95k to the CFO without the gap caveat. The honest read is “AdRoll is contributing £55, 65k of Shopify revenue per month at £13.7k spend, business ROAS 4, 4.7×.”
2. Cart-abandon orchestration at 14.11× is mostly cannibalised email revenue. Many of those buyers would have completed the purchase via your existing Klaviyo cart-recovery sequence anyway. AdRoll’s email + display add-on claims credit alongside Klaviyo for the same orders. Run an A/B holdout (10% of cart abandoners get no AdRoll touch) for 30 days to measure incremental value, expect the “real” lift to be 30, 50% of claimed.
3. Retargeting at 8.59× is in-band for warm-audience retargeting. Typical retargeting ROAS sits at 6, 10×; if you’re seeing <5× on retargeting, audience match rate is degraded (usually iOS / Safari ITP shrink). If you’re seeing >12× consistently, you’re probably defending revenue you’d already capture organically (same dynamic as Branded Search on Google).
4. Prospecting at 2.19× is acceptable cold-audience performance for retargeting platforms. Pure cold prospecting on AdRoll typically lands 1.5, 3×, lower than Meta or TikTok cold audiences because AdRoll’s prospecting inventory is mostly GDN remnant. If prospecting is the growth lever, Meta or TikTok will outperform.
5. Pre-CAPI on this account, conversion value was reading £71,400 on £15,200 spend (4.7× ROAS). The CAPI rollout in March lifted reported revenue by ~34% (catching iOS conversions Pixel-only had missed). The lift is real measurement, not inflation; the underlying business performance was the same.
6. iOS share is 47% on this account. ATT and Safari ITP impact is material; CAPI is closing most of the gap but expect a residual 10, 20% under-report on iOS retargeting line items. Plan a creative + audience refresh on retargeting line items every 21, 28 days; ATT-eligible audience pools shrink fast and creative-fatigue accelerates the decline.

Quick sanity tests:

• Revenue up + spend up = healthy scaling, the optimiser is finding incremental conversions.
• Revenue down + spend up = scaling beyond the efficient frontier. Cap spend, refresh creative, audit per-line-item ROAS.
• Revenue flat + spend down = budget cut without channel deterioration; channel is still healthy.
• Sudden revenue drop with spend stable = pixel breakage (most common, check pixel diagnostic in AdRoll dashboard) or ATT audience collapse.
• Revenue dropped 20%+ but Shopify revenue is stable = AdRoll is losing claim on conversions Meta or Google are now winning. Attribution shift, not real loss.

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Sibling cards merchants should reference together

Total Revenue on its own only tells you what AdRoll claims. Pair it with these to know whether the revenue is real and incremental:

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Reconciling against the vendor’s own dashboard

Where to look in AdRoll’s own dashboard:

AdRoll Dashboard → Reporting → Performance Report → “Conversion Value” (filter to the same advertisable and date range used in this card).

The “Conversion Value” column matches the field this card sums. AdRoll’s Home tile and Reporting → Custom Report → Group by Day both surface the same number for the chosen window. For a sanity check, the Conversions column × the Avg Order Value column should equal Conversion Value within rounding. Why our number may legitimately differ from AdRoll itself: Why the BUSINESS revenue often differs from this card (the important one): The conversion_value AdRoll reports is what the pixel + Conversions API saw, attributed back through AdRoll’s last-touch model. That value flows from your tag setup:

• If the pixel sends order revenue with VAT, AdRoll reports VAT-inclusive revenue (matches what the customer paid).
• If the pixel sends only first-purchase value (a common cap), AdRoll under-reports returning-customer revenue.
• If the pixel sends modelled value, AdRoll includes some imputed revenue that wasn’t actually paid.

For the true business read (the one the CFO cares about), divide shopify.total_revenue attributed to AdRoll UTMs by AdRoll spend. The two figures should be within 30, 50% post-CAPI; bigger gaps usually mean (a) commerce-platform attribution disagrees with AdRoll’s window (different click windows, different last-touch logic), (b) the pixel is misconfigured, or (c) iOS / Safari ITP impact is degrading attribution despite CAPI. Cross-connector reconciliation: This card is AdRoll’s view of AdRoll-driven performance. The same purchase will be claimed differently by every platform with a tag in the path:

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Known limitations / merchant FAQs

My AdRoll says £95k revenue but Shopify shows £52k from AdRoll UTMs, which is true? Both are true; they measure different things. AdRoll’s £95k is AdRoll-attributed revenue: every purchase that touched AdRoll inventory inside the 30-day-click + 7-day-view window. Shopify’s £52k is UTM-tagged AdRoll-source revenue: only orders where the customer’s last referrer carried AdRoll UTM parameters. The gap (£95k vs £52k) is structural and expected. Drivers:

1. View-through credit. AdRoll claims any purchase from a user it served an impression to within 7 days, even if the user later arrived via Google search, an email, or direct. Shopify only sees the last UTM.
2. iOS / Safari ITP. AdRoll’s UTM strip-rate is 30, 50% on Safari and iOS-app-WebView traffic; those orders show as Direct in Shopify but are still counted by AdRoll’s pixel.
3. Modeled conversions. AdRoll auto-fills attribution gaps with statistical estimates; that revenue exists in AdRoll’s number but not in Shopify’s UTM count.

Practical answer: real AdRoll-driven Shopify revenue is between the two, typically 60, 80% of AdRoll’s claim. Use a weighted blend (40% AdRoll claim + 60% UTM-Shopify) for the CFO read. Why is my AdRoll revenue dropping despite stable spend? In order of likelihood: (1) Pixel breakage. Most common cause. Check the Pixel Diagnostic in AdRoll → Account → Pixel; broken events show as warnings. (2) iOS audience pool collapse. ATT opt-out continues to grind audience match rates down over time; if you haven’t refreshed creative or expanded audiences in 30+ days, the same audience is being re-targeted with diminishing returns. (3) Cross-platform competition. Meta or Google launched a new campaign that’s now winning last-click on conversions AdRoll used to claim. The conversions still exist; AdRoll just lost claim. (4) Commerce platform CR drop. The conversion path itself broke (checkout error, payment provider issue). Cross-check Shopify Conversion Rate. (5) Promo period rollover. AdRoll-attributed revenue during a 30%-off campaign rolls into normal post-promo; revenue compresses by the promo discount. iOS 14.5 ATT impact, what does it mean for AdRoll specifically? ATT and Safari ITP hit AdRoll harder than top-of-funnel platforms because AdRoll’s entire model is cross-site retargeting based on third-party cookies and IDFA. Without those, AdRoll cannot reliably:

• Identify a user across sites (the basis of retargeting).
• Tie a conversion back to the impression that influenced it.

Net impact: pre-ATT, AdRoll retargeting reach on iOS was 85, 95% audience match rate. Post-ATT (without server-side tracking), match rate dropped to 25, 40% on iOS. With AdRoll Conversions API + Identity Graph live, match rate recovers to 55, 75%. Action: roll out CAPI immediately if you haven’t, and treat AdRoll’s reported revenue as directional, not exact. Use Shopify UTM-tagged revenue as the floor. What’s the practical AdRoll Conversions API rollout playbook?

1. Shopify: AdRoll has a native Sales Channel app; one-click install enables CAPI. Auto-deduplicates Pixel + CAPI via event_id. 30-minute setup.
2. BigCommerce: AdRoll BC app + manual CAPI via Tag Manager + custom event_id. 2, 4 hours.
3. Adobe Commerce / Magento: AdRoll extension + custom server endpoint. 1, 3 days.
4. Custom / headless: Build a server-side proxy mirroring Pixel events. 1, 2 weeks.
5. Test in AdRoll → Pixel → Server-Side Events tab; if dedup is working, both Pixel and CAPI events show but AdRoll credits one per conversion.
6. Allow 7, 14 days for retraining before judging the revenue lift; AdRoll’s models recalibrate over that window.

How do I interpret modeled conversions on AdRoll? AdRoll auto-fills attribution gaps with statistically-modeled values (similar to Meta and Google). Modeled fill is rolled into conversion_value invisibly. Patterns:

• Pre-CAPI: modeled fill ~18, 28%. Inflated.
• Post-CAPI clean: modeled fill ~6, 12%. Healthy.
• Post-CAPI but still high (>20%): implementation gaps; audit event_id deduplication and event coverage.

You cannot opt out of modeling. Trust the rolling 30-day, not the daily. Why is AdRoll’s reported revenue almost always higher than GA4’s Display revenue? GA4’s Display channel uses last-non-direct click attribution; AdRoll uses last-touch within 30d-click + 7d-view. The view-through window is the biggest difference, GA4 will not credit a Display channel for a view-through that didn’t get a click; AdRoll will. Expect AdRoll to claim 30, 60% more revenue than GA4 sees on the Display channel. This is structural, not a misconfiguration. Should I trust today’s revenue? No. Today is structurally low because (a) Reporting API has a 2, 4 hour lag, (b) view-through conversions can keep accumulating for up to 7 days post-impression, (c) modeled-conversion fill takes up to 72h to converge. Use the rolling 7-day for actionable reads. Multi-currency setup, how does revenue work? AdRoll advertisables are single-currency. Multi-currency merchants run separate advertisables per currency. This card is per-advertisable; there is no unified-currency total. To roll up across currencies for a CFO read, FX-convert at month-end rates externally. Is AdRoll’s revenue incremental or cannibalised? The single hardest question on retargeting. Most warm-audience retargeting (cart-abandoners, recent site visitors) is partially cannibalised, those buyers would have converted anyway via email, organic, or direct. Run a holdout test: exclude 10% of retargetable users from AdRoll for 30 days, measure their conversion rate vs the targeted 90%. The lift is the incremental AdRoll revenue. Typical finding: 30, 60% of AdRoll-claimed revenue is incremental; 40, 70% is cannibalisation. Use the incremental number for true ROAS calculation.

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Tracked live in Vortex IQ Nerve Centre

Total Revenue is one of hundreds of KPI pulses Vortex IQ tracks across AdRoll 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.