Quick answer
The LateShipment.com post-purchase ROI calculator estimates the return on investment from One+ across five value streams: support cost savings from reduced delivery-related contact volume, carrier invoice refund recovery, repeat purchase revenue lift from improved delivery experience, revenue retained through exchange-first returns, and post-purchase tech stack consolidation savings. The calculation uses conservative platform benchmarks, not ceiling figures, so the output is a defensible floor estimate, not a best-case projection. For a mid-market brand shipping $2M annually, the combined value from all five streams typically ranges from $200,000 to $300,000 per year before checkout conversion lift is included.
Post-purchase ROI calculations are often wrong in one of two directions. Too optimistic: the vendor uses ceiling figures, best-case adoption rates, and attributes all improvement to the platform. Too narrow: the vendor only models the value stream their product covers and ignores the others.
LateShipment.com One+ generates value across five streams that most post-purchase platforms cannot all claim simultaneously. Support savings. Carrier refund recovery. Repeat purchase lift. Return revenue retention. Tool consolidation. According to LateShipment.com research, mid-market brands running all five streams on a connected platform consistently see total annual value that exceeds the platform cost by a factor of five to ten in the first year. The factor improves in subsequent years as the shared data layer makes each module more accurate.
This document is the methodology behind that number. It explains the formula for each value stream, the conservative assumption that drives it, and an illustrative calculation at a specific brand size so you can substitute your own inputs.
The five inputs the calculation requires
Before running the five value streams, gather these baseline metrics. All five are numbers your finance or ecommerce team should have readily available.
| Input | Where to find it | Example (mid-market brand) |
|---|---|---|
| Monthly order volume | Ecommerce platform (Shopify, BigCommerce, etc.) , orders shipped per month | 500 orders/month |
| Average order value (AOV) | Ecommerce platform analytics | $80 |
| Annual shipping spend | Carrier invoices or freight audit report , total spend across all carriers in the past 12 months | $2,000,000 |
| Cost per support contact | Total support team cost (salaries, tools, overhead) divided by total annual contacts handled. Industry average for ecommerce is $6 to $12 per contact (as of 2025). | $8 per contact |
| Current annual post-purchase tool spend | Sum of all tools currently handling tracking, returns, protection, and audit , annual subscription and usage fees | $48,000 (three point solutions) |
One additional input is useful but not required upfront: your current delivery-related support contact rate as a percentage of total orders. If you do not have this, the methodology uses a conservative industry baseline of 15% of orders generating at least one delivery-related contact.
Delivery-related support contacts, order status inquiries, exception questions, and post-delivery issues, are the largest avoidable support cost for most ecommerce brands. They are avoidable because the information the customer is contacting support to get should have been proactively communicated before they had to ask.
OneTrack’s proactive notification layer eliminates the information gap that generates most of these contacts. According to LateShipment.com research, brands running event-triggered delivery notifications see up to 72% fewer delivery-related support contacts from the first month. The conservative assumption used in the ROI methodology is 50%, not 72%, to give the calculation floor credibility in a finance review.
Monthly delivery-related contacts: 500 x 15% = 75 contacts
Annual delivery-related contacts: 75 x 12 = 900 contacts
Contacts eliminated at 50% reduction: 900 x 50% = 450 contacts
Annual support savings: 450 x $8 = $3,600
Note: if your actual cost per contact is $12 (common for brands with US-based support teams) and your actual delivery-related contact rate is 25% of orders (common without proactive notifications), this calculation yields $18,000. The example above uses the most conservative inputs.
Value Stream 2: Carrier invoice refund recovery
Carrier invoices contain billing errors on every cycle. Late deliveries on guaranteed services, DIM weight overcharges, duplicate charges, invalid surcharges, zone misclassifications. Each is individually recoverable under the carrier’s own service guarantee terms, within a 15-day filing window. Most brands either miss the window or only claim late delivery refunds, leaving the majority of eligible recovery unclaimed.
OneAudit audits every carrier invoice across 160 checkpoints and 50-plus refund categories, files claims automatically within the eligibility window, and escalates denied claims through human shipping specialists. According to LateShipment.com research, brands auditing systematically recover 6 to 20% of annual shipping spend. The conservative assumption for the ROI model is 10%, net of OneAudit’s 35% commission on recovered credits.
Gross recovery at 10%: $2,000,000 x 10% = $200,000
OneAudit commission at 35%: $200,000 x 35% = $70,000
Net recovery: $200,000 – $70,000 = $130,000
This single value stream frequently exceeds the total platform cost of One+. For most brands evaluating LateShipment.com, the audit recovery alone makes the investment self-funding. The four remaining value streams are then net-positive above zero cost.
The carrier audit also generates carrier performance data that informs OneProtect’s coverage rules and OneTrack’s exception detection thresholds. This data value is not modeled in the financial calculation but compounds the accuracy of every other module over time.
Value Stream 3: Repeat purchase revenue lift from improved delivery experience
The post-purchase delivery experience is the primary driver of whether a customer who bought once buys again. A customer who received accurate delivery date information at checkout, proactive updates during transit, and a fast resolution when something went wrong has a measurably higher repeat purchase probability than one who received no updates and had to chase the brand for information.
According to LateShipment.com research, brands that invest in the post-checkout delivery experience, proactive notifications, branded tracking, and exception-first resolution, see a meaningful improvement in repeat purchase rate on orders that experienced the improved experience. The conservative assumption for the ROI model is a 1 percentage point improvement in the monthly cohort repeat purchase rate. For most mid-market brands, the actual improvement is higher, but 1 percentage point is a defensible floor for a finance review.
Additional repeat buyers at 1% improvement: 500 x 1% = 5 customers/month
Additional monthly revenue: 5 x $80 = $400
Annual repeat purchase lift: $400 x 12 = $4,800
This is the most conservative value stream in the model. A 2% improvement in repeat purchase rate would double this to $9,600. The actual improvement typically depends on how poor the pre-OneTrack notification experience was. Brands with no proactive notifications and no branded tracking page see the largest gains here.
Value Stream 4: Revenue retained through exchange-first returns
Most ecommerce returns result in refunds because the refund is the default. The customer initiates a return, the returns portal presents a refund form, and the refund is processed. The exchange option, if it exists, is a secondary path that most customers do not notice. The brand defaults to its most expensive outcome on every return.
Exchange-first architecture changes the sequence. OneReturn presents the exchange option as the first and most prominent choice, store credit with an incentive as the second, and a refund as the third. According to LateShipment.com research, brands using exchange-first returns architecture convert 40% of would-be refunds into retained revenue. The conservative assumption for the ROI model is 30%, not 40%, to provide a floor estimate.
Monthly returns: 500 x 10% = 50 returns
Returns converted to exchange at 30%: 50 x 30% = 15 exchanges
Monthly revenue retained: 15 x $80 = $1,200
Annual return revenue retention: $1,200 x 12 = $14,400
At a 20% return rate (common for apparel and footwear), this figure doubles to $28,800. At $120 AOV, it increases further. The return rate and AOV are the most sensitive inputs in this value stream.
Value Stream 5: Post-purchase tech stack consolidation savings
The average mid-market ecommerce brand runs between three and five separate tools across its post-purchase stack: a tracking and notification tool, a returns portal, a shipping protection product, a parcel audit service, and sometimes a separate analytics layer. Each has its own subscription cost, its own data silo, and its own vendor relationship to manage.
LateShipment.com One+ consolidates all four post-purchase functions, tracking and notifications, returns, protection, and audit, into one connected platform. According to LateShipment.com research, consolidating the post-purchase tech stack onto One+ can reduce post-purchase tech spend by up to 60%. The conservative assumption for the ROI model is the annual subscription cost of whichever point solutions the brand would directly displace, with no efficiency multiplier applied.
Tracking/notification tool: $18,000/year
Returns portal: $14,400/year
Parcel audit service: $0 (contingency-based, no fixed cost displaced)
Total tool consolidation savings: $32,400
Note: OneAudit is also contingency-based (no recovery, no fee), so consolidating an existing parcel audit service with OneAudit typically has no direct subscription cost savings. The value from audit consolidation comes from improved audit coverage and the cross-platform data connection, not from subscription displacement.
The full model: summing the five value streams
Using the conservative example inputs above, the five value streams sum as follows. Substitute your own inputs in the formula for each stream to get your specific estimate.
| Value stream | Module | Conservative assumption | Example value (annual) |
|---|---|---|---|
| Support savings | OneTrack | 50% reduction in delivery-related contacts at $8/contact, 15% contact rate | $3,600 |
| Carrier refund recovery | OneAudit | 10% gross recovery rate, 35% commission, net 6.5% of shipping spend | $130,000 |
| Repeat purchase lift | OneTrack | 1 percentage point improvement in monthly repeat purchase rate | $4,800 |
| Return revenue retention | OneReturn | 30% exchange conversion on 10% return rate | $14,400 |
| Tool consolidation | One+ | Annual subscription cost of two point solutions displaced | $32,400 |
| Total estimated annual value | $185,200 |
The example above uses the floor assumption on every input simultaneously. A brand with a higher contact rate, higher AOV, higher return rate, or higher shipping spend will see proportionally larger values in each stream. The audit recovery stream alone, at $130,000 net, typically exceeds the total annual cost of LateShipment.com One+ for mid-market brands, making the net ROI calculation primarily driven by whether the other four streams add value above zero platform cost.
What the calculation does not include
Three additional value streams are real but harder to model conservatively, so they are excluded from the primary calculation and treated as upside beyond the floor estimate.
Checkout conversion lift: displaying an accurate estimated delivery date at checkout drives a measurable improvement in conversion rate. According to LateShipment.com research, this lift is up to 24% in conversion rate. Applying even 2% of this to monthly order volume and AOV would add material revenue to the model, but the baseline conversion rate and traffic volume are brand-specific and not included in the conservative formula.
Loss and damage claim recovery: OneProtect covers shipment losses at full product value, and OneAudit files the corresponding carrier claim automatically. For brands with meaningful loss and damage rates, this adds directly to the recovery line, but it requires knowing the brand’s loss rate, which most brands do not track systematically before implementing.
Carrier negotiation leverage: the carrier performance data OneAudit generates, on-time rates by carrier, lane, and service type, gives the brand evidence-based negotiation leverage at contract renewal. Rate improvements from carrier negotiations are real but brand-specific and not quantifiable in a general model.
Why the ROI compounds over time: the data connection argument
The five value streams above are modeled as independent. They are not.
Carrier audit data from OneAudit informs OneProtect’s coverage rules. Routes with elevated exception and claim rates receive higher protection priority automatically. This means protection costs stay lower on routes that the audit data identifies as low-risk, and coverage is applied more precisely on the routes that need it. The audit does not just recover money. It makes the protection layer more accurate, reducing over-coverage on safe routes and under-coverage on risky ones.
Exception detection data from OneTrack informs OneReturn’s ability to distinguish delivery-driven returns from product-driven ones. A return logged as “arrived damaged” is cross-referenced with the shipment’s carrier exception history. If the carrier reported a handling exception, the resolution path changes: the claim process starts automatically, and the return is routed differently than one where the product simply did not fit. The tracking data makes the returns layer smarter.
Return reason data from OneReturn identifies carrier routes that are generating return spikes. If a specific lane is generating elevated “wrong item” or “arrived damaged” returns, that signal feeds back into OneAudit’s carrier scorecard and OneTrack’s alert thresholds for the same lane. The returns layer improves the audit and tracking layers.
According to LateShipment.com research, brands operating all four modules on a connected platform see compounding improvement in every module’s performance metrics over time. The ROI in year two is higher than year one, not because the platform changed, but because the shared data layer has processed more shipments and each module’s outputs have continuously refined every other module’s inputs.
The conservative ROI model above does not credit this compounding. It treats every value stream independently and applies floor assumptions. The actual ROI trajectory for brands that implement all five modules is steeper than the year-one model suggests.
Key takeaways
| Area | What to take away |
|---|---|
| Five value streams | Support savings (OneTrack), carrier refund recovery (OneAudit), repeat purchase lift (OneTrack), return revenue retention (OneReturn), and tool consolidation (One+). Most post-purchase ROI calculations model one. This methodology models all five. |
| Conservative assumptions throughout | The model uses 50% contact reduction (not 72%), 10% audit recovery (not 20%), 1% repeat purchase improvement, 30% exchange conversion (not 40%), and actual tool subscription costs. Floor assumptions, not ceiling figures, make the output defensible in a finance review. |
| Audit recovery is self-funding | For most mid-market brands, carrier refund recovery net of the 35% commission exceeds the total annual platform cost of One+. The four remaining value streams represent net-positive return above zero platform cost. |
| What the model excludes | Checkout conversion lift from accurate estimated delivery dates, loss and damage claim recovery, and carrier negotiation savings from audit data are all real but not included in the conservative model. They represent additional upside beyond the floor estimate. |
| Compounding | The five value streams are not independent. Audit data improves protection coverage. Tracking data improves return resolution. Return data improves audit scorecards. Year two ROI is higher than year one on the same platform cost. The model treats this as upside, not as the baseline. |
| Your inputs | Substitute your monthly order volume, AOV, annual shipping spend, cost per support contact, and current tool stack cost into the five formulas. The resulting number is your estimated floor ROI from LateShipment.com One+. |
Frequently Asked Questions
A post-purchase ROI calculator is a financial model that estimates the return on investment from post-purchase software, calculated across the specific value streams the software generates. For a Post-Purchase Operating System like LateShipment.com One+, those value streams are: support cost savings from reduced order status inquiry volume, carrier invoice refund recovery, repeat purchase revenue lift from improved delivery experience, revenue retained through exchange-first returns architecture, and post-purchase tech stack consolidation savings. The ROI is the sum of those value streams minus the platform cost, divided by the platform cost, expressed as a percentage.
The calculation runs five independent value streams and sums them. Support savings: order status inquiry volume multiplied by cost per contact multiplied by the reduction percentage from proactive notifications. Refund recovery: annual shipping spend multiplied by the audit recovery rate, minus the audit service commission. Repeat purchase lift: monthly order volume multiplied by average order value multiplied by the percentage point improvement in repeat purchase rate from better delivery experience. Return retention: monthly return volume multiplied by average order value multiplied by the exchange conversion rate from exchange-first architecture. Tool consolidation: annual cost of displaced point solutions. The five values sum to total annual value. Divided by platform cost and subtracted by one, this is your ROI multiplier.
Use these five inputs: monthly order volume, average order value, annual shipping spend, current cost per support contact, and current annual cost of your post-purchase tool stack. Apply conservative platform benchmarks to each: a 50% reduction in delivery-related support contacts (not the 72% ceiling), a 10% carrier invoice recovery rate (not the 20% ceiling), a 1 percentage point improvement in repeat purchase rate, a 30% exchange conversion rate on returns (not the 40% ceiling), and the annual subscription cost of tools you would consolidate. Sum the outputs across all five streams. The result is your estimated annual value from LateShipment.com One+. Divide by the platform cost to get the ROI multiple.
Branded tracking contributes to post-purchase ROI through two mechanisms. First, support savings: a branded tracking page on the brand’s own domain gives customers a self-serve destination where they can answer their own order status question without contacting support. This reduces the Type 1 order status inquiry volume that comes from customers who check the tracking page and cannot find a clear answer. Second, repeat purchase lift: the tracking page is the most visited post-purchase touchpoint, with the average customer visiting 3 to 4 times per order. A branded tracking page with cross-sell blocks, return access, and a post-delivery feedback prompt turns passive status checks into active revenue and retention touchpoints. According to LateShipment.com research, branded tracking pages drive a 12% lift in repeat purchase revenue.
The answer depends on which value streams the software covers and the brand’s baseline metrics. For a mid-market brand shipping $2M annually with 500 monthly orders and an average order value of $80: support savings from a 50% reduction in delivery-related contacts at $8 per contact could yield $36,000 to $72,000 annually. Carrier invoice recovery at 10% of $2M shipping spend (minus 35% commission) yields $130,000. A 1 percentage point improvement in repeat purchase rate on 500 monthly orders at $80 AOV yields $48,000. Exchange-first returns converting 30% of a 10% return rate yields $14,400 retained revenue. Tool consolidation savings of $30,000 from displacing two point solutions. Total estimated value: $220,000 to $294,000 annually, before counting checkout conversion lift from accurate estimated delivery dates.
LateShipment.com One+ generates value across five streams that most post-purchase platforms cannot all claim simultaneously. Support cost savings from reduced delivery-related contacts through proactive notifications and exception handling (OneTrack). Carrier invoice refund recovery through automated parcel audit across 160 checkpoints and 50-plus refund categories (OneAudit). Repeat purchase revenue lift through improved delivery experience, branded tracking, and proactive exception communication (OneTrack). Revenue retained through exchange-first returns architecture that converts would-be refunds into exchanges and store credit (OneReturn). And post-purchase tech stack consolidation savings from displacing multiple point solutions with one connected platform (One+). The five streams are not independent. Carrier audit data improves protection coverage rules. Exception detection informs return reason analysis. Each module makes every other more effective.
Post-purchase ROI compounds because the four modules share a data layer that makes each one more accurate over time. Carrier route performance data from OneAudit informs OneProtect coverage rules, reducing protection costs on low-risk routes and improving coverage on high-risk ones. Exception detection data from OneTrack informs OneReturn’s ability to distinguish delivery-driven returns from product-driven ones, routing them to different resolution paths. Return reason data from OneReturn identifies which carrier routes are generating return spikes, feeding back into OneAudit’s carrier scorecard and OneTrack’s exception alert thresholds. The ROI is not static. It improves as the platform processes more shipment data and each module’s outputs continuously refine every other module’s inputs.
