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Metrics type: Cross-Platform Metrics • Category: Payment Gateway
Predicted chargeback $ over the next 30 days based on open inquiries and any commerce-sibling shipment delays that historically convert to INR disputes.

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At a glance

Predicted dollar value of chargebacks over the next 30 days, derived from two leading indicators: (a) currently open PayPal inquiries that historically convert to formal disputes / chargebacks, (b) commerce-platform shipping delays that historically generate INR disputes 1-3 weeks later. The “what’s about to happen” view, gives merchants 2-4 weeks of runway to refund pre-emptively or correct fulfilment.

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Calculation

Calculated automatically from your PayPal 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-based home-goods merchant on Shopify, dealing with the aftermath of a January snowstorm + USPS regional disruption. Today is 12 Apr 26. Pool A: open PayPal inquiries The Resolution Center currently shows: Historical conversion rate (this merchant, 12-month rolling): 38% of inquiries escalate to formal disputes.
Pool B: shipping-delay leading indicator Shopify currently shows 142 orders in shipping-delayed state (>3 days past expected ship date), mostly from the recent USPS route disruption. Historical calibration: 6.5% of shipping-delayed orders convert to INR disputes within 21 days; weighted average dispute value is $89.
Combined forecast
But add the historical 12-month average chargeback baseline of 890/monthandyougeta∗totalexpected∗cashhitofabout890/month and you get a *total expected* cash hit of about 2,416 over the next 30 days. The card surfaces the additional leading-indicator risk above baseline. Six things worth noticing:
  1. The forecast is below the $2k alert but uncomfortably close. A few more inquiries this week or another shipping disruption pushes it over. The merchant should treat this as “elevated but manageable” and start working the queue.
  2. Pool B is larger than Pool A. The shipping-delay leading indicator ($819) is the bigger threat. This is consistent with PP XC INR to Fulfilment showing high INR-shipping correlation. The remediation is operational (carrier diversification, customer comms) not customer-service.
  3. **Pre-emptive refunds on Pool A would clear 707oftheforecast.∗∗Eachopeninquiryrefundedtodayclosesthatcaseasresolution−by−agreement(nodisputefiled,noimpactondisputerate).Cost:15× 707 of the forecast.** Each open inquiry refunded today closes that case as resolution-by-agreement (no dispute filed, no impact on dispute rate). Cost: 15 × ~140 = ~2,100inrefunds.Benefit:2,100 in refunds. Benefit: 707 in avoided disputes + ~$200 in chargeback fees + the dispute-rate hit. ROI is positive only on cases likely to lose; merchants typically refund cases with weak evidence (no tracking uploaded, customer wronged) and defend cases with strong evidence.
  4. Pool B can’t be easily refunded pre-emptively. The 142 delayed orders haven’t yet generated disputes; they’re just slow shipments. Refunding them all would be expensive and most won’t dispute. The lever here is customer comms: proactive emails (“your order is delayed due to USPS issues, here’s your updated tracking”) prevent the customer from going to PayPal in frustration. Industry data: well-communicated delays reduce INR conversion by 40-60%.
  5. The forecast is point estimate. Confidence band is roughly ±30%, so the real outcome over the next 30 days could be 1,068−1,068 - 1,984. Spikes (another snowstorm, a viral negative review, a Black Friday-scale traffic event) widen the band further. Don’t over-react to small movements; do react to sustained elevation.
  6. The merchant’s historical baseline ($890/month) includes everything this card forecasts plus baseline noise. The card is most useful as a trend signal: forecast rising 50% month-over-month means leading indicators are deteriorating, even if absolute numbers are modest.
If the next refresh shows pool B grow to 200 delayed orders (carrier issue worsening), the forecast climbs to ~$2,000+ and the alert fires. The merchant has 2-4 weeks of runway to fix the carrier issue OR to refund pre-emptively, before the disputes actually land.

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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 PayPal Business and your commerce platform: PayPal Business does NOT publish a chargeback forecast; this is a Vortex IQ-derived projection from leading indicators. The closest reference views per side: PayPal axis (Pool A, open inquiries): Commerce axis (Pool B, shipping delays):
  • Shopify: Apps → Fulfilment SLA reports, or custom view of Order.fulfillments for orders past expected ship date.
  • BigCommerce: Analytics → Fulfilment → orders past SLA.
  • Adobe Commerce: Reports → Sales → orders in “Processing” status past expected ship.
Other views that look like this but aren’t:
  • “Open disputes count” is current-state only, not forecast.
  • Generic risk-scoring dashboards from third-party tools (Signifyd, Forter) score individual transactions, not aggregate forecast.
  • PayPal’s “Account health” tile shows historical performance, not forward projection.
Why our forecast may legitimately differ from a hand-built model: Cross-connector reconciliation: This card is a Vortex IQ-derived forecast. Neither PayPal nor commerce platforms publish chargeback predictions; the leading-indicator approach is proprietary to Vortex IQ but uses transparently-defined inputs (open inquiries, shipping delays) that merchants can hand-validate.

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Known limitations / merchant FAQs

How accurate is this forecast? Calibrated against backtested data, the actual 30-day chargeback dollar value lands within ±30% of the forecast about 70% of the time. Spikes (Black Friday, weather events, viral PR moments) widen the confidence band; quiet seasonal periods narrow it. Treat the forecast as a budget input, not a precise prediction. Should I refund every open inquiry pre-emptively to clear Pool A? No, only the ones likely to lose. Refunding a case where you have strong evidence (delivery confirmation, listing accuracy, signature) is leaving money on the table. Refund the cases with weak evidence (no tracking uploaded, customer wronged, item genuinely defective). Industry rule of thumb: refund anything where the dispute would cost you more than the order value plus chargeback fee. Can I reduce the Pool B forecast without refunding? Yes, by improving customer comms during shipping delays. Industry data: well-communicated delays reduce INR conversion by 40-60%. Send proactive emails (“your order is delayed due to USPS issues, here’s updated tracking, click here for a partial-shipping-credit”); offer in-flight refund options; partner with carriers that provide better tracking visibility. The forecast self-recalibrates over weeks as customer-comms improvements pay off. The forecast is 1,800anddroppedto1,800 and dropped to 1,200 last week, what happened? Three usual causes: (a) the merchant cleared inquiries (Pool A shrank via refunds or successful defences), (b) shipping delays resolved (Pool B shrank as carriers caught up), or (c) historical conversion rates ticked down (your customers are converting less aggressively from inquiry to formal dispute). Cross-check Pool A and Pool B inputs to see which lever moved. **Why is the alert at 2kspecifically?∗∗Calibratedtogivemerchantsenoughrunway.Below2k specifically?** Calibrated to give merchants enough runway. Below 2k forecast, the manual intervention cost (operations team time spent triaging) outweighs the avoided-cost benefit. Above $2k there’s enough leverage in the lookahead to justify the work. The threshold is a heuristic; high-margin / high-LTV businesses might want a lower threshold (every dispute matters more), low-margin / high-volume might use a higher one. Does the forecast include disputes that already escalated past inquiry stage? Already-formal disputes are tracked on PP Disputes Open, not here. This card is leading indicators only (inquiries that might escalate, delays that might generate INR). The two cards complement: open disputes for “what’s already happening”, forecast for “what’s about to happen”. My multi-currency PayPal account, does the forecast work? Yes, multi-currency stores get per-currency forecasts. The conversion-rate calibration is currency-agnostic (a 38% inquiry-to-dispute rate holds regardless of currency); the dollar weighting uses original currency without FX. A multi-currency account’s headline forecast might look like “$1,200 + €400 + £200” expected over the next 30 days. The forecast says $0 but I’m getting disputes anyway, what’s broken? Likely calibration. If your historical conversion rates are very low (you defended every recent inquiry successfully), Pool A multiplies to zero even when current open inquiries are real. The card needs ~6 months of historical data for stable calibration; new merchants or merchants with recent process changes will see flatter forecasts. Refresh the calibration window after major operational changes. Should I integrate this with my refund-policy decision logic? Yes if you want a smart pre-emptive-refund pipeline. Rule of thumb: if the forecast’s dollar contribution from a specific inquiry is > 50% of the order value, refund pre-emptively (you’re going to lose more than you’d save by defending). Industry tools like Chargeback Pros, Justt, etc. automate this decision; for smaller merchants a weekly manual review of the queue + forecast contribution is sufficient. Does the forecast account for Seller Protection? The forecast surfaces gross dispute exposure (dollar value of disputes likely to fire). The cash impact depends on Seller Protection coverage. A high-coverage merchant (PP Seller Protection Coverage > 80%) will see a smaller cash hit than the forecast suggests because PayPal absorbs the eligible portion. The forecast doesn’t subtract that automatically because the dispute count still hits your dispute rate regardless of who pays the cash. Black Friday is approaching, will the forecast spike? Probably yes. Historical patterns show BFCM increases inquiry filings (more new customers, more high-velocity orders) and shipping delays (carrier capacity stretched). Use the forecast as one input among several (historical BFCM patterns, shipping carrier capacity contracts, customer-service staffing) rather than a precise BFCM-day projection. The card will recalibrate after the season ends.

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Tracked live in Vortex IQ Nerve Centre

Chargeback Risk Forecast (next 30d) is one of hundreds of KPI pulses Vortex IQ tracks across PayPal 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.