How to Increase Your Marketplace Claim Approval Rate

For sellers on Amazon, Flipkart, AJIO, Myntra, Nykaa, Meesho and Snapdeal. Updated September 2026.

Direct Answer

Learning how to increase claim approval rate starts with a hard truth: sellers recovering under 20 percent of their eligible marketplace claims and sellers recovering 65 to 90 percent are usually not separated by claim volume, platform mix, or luck. They are separated by five specific, learnable practices: how specific their evidence is, whether they file inside the window every time, whether they select the correct claim reason, whether they file every eligible claim rather than only the obvious ones, and whether they follow up on rejections with new evidence instead of treating a denial as final. None of the five levers to increase claim approval rate require a bigger team or a different set of marketplaces. They require doing the same claim process with more discipline in five specific places, and the gap between low and high performers is almost entirely explained by which of the five a seller is actually doing.

Quick Answer: What's the Single Highest-Impact Fix?

Evidence specificity, ahead of the other four, because it affects every claim regardless of platform or reason. A claim supported by order-linked video showing exactly what was packed or exactly what a return contained is judged differently than a claim supported by a general written explanation, on every marketplace covered in this guide. Sellers who fix only this one lever typically see the largest single jump in approval rate of any individual change, because it removes the most common reason claims fail even when the underlying dispute is genuinely valid.

Why Does Approval Rate Alone Mislead You?

Before the five levers, one framing problem worth clearing up. Approval rate measures how many filed claims win. It says nothing about how many eligible claims were never filed at all, which for most sellers is a larger loss than a low approval rate on the claims that did get filed. Improving approval rate and improving filed rate are related but separate projects, and this guide focuses on the first: given a claim you have decided to file, what actually determines whether it wins. The second problem, claims that never get filed, is covered in detail in a companion guide on invisible losses.

How Does Evidence Specificity Increase Claim Approval Rate?

The single highest-impact lever, and the one most sellers underinvest in relative to its impact.

What weak evidence looks like. A written description of the problem, a photo that could belong to any order, or footage that is not clearly linked to a specific Order ID. This kind of evidence asks a marketplace's review team to take the seller's word for it, which is precisely what claim review processes exist to avoid doing.

What strong evidence looks like. Video or photographic evidence tied specifically to the order in question, showing exactly what was packed or exactly what a return contained, ideally captured automatically at the relevant moment rather than reconstructed afterward. Several Indian marketplaces now specifically require this format, unboxing video rather than a general photo, for claim types where item condition or contents are in dispute.

Why specificity beats volume of evidence. One clear, order-linked clip showing the disputed fact outperforms several generic photos that do not clearly connect to the specific order. Review teams are pattern-matching against a specific claim reason, and evidence that does not map cleanly to that reason does not help even if it is technically present in the claim file.

How Does Timing Discipline Increase Claim Approval Rate?

Covered in depth separately, since claim windows vary enormously by platform, from as short as 48 hours to as long as 120 days depending on marketplace and claim type. The approval-rate implication is simple and absolute: a claim filed outside its window is denied on timing grounds without the underlying evidence being reviewed at all, regardless of how strong that evidence is.

Why this lever is invisible until it isn't. A seller with excellent evidence practices can still show a poor approval rate if a meaningful share of claims are filed just outside their window, because those claims are recorded as denials even though they were never actually evaluated on merit. Checking whether rejections are timing-based or merits-based, separately, is often the fastest way to find out which lever is actually costing approval rate.

The platforms where this bites hardest. Shorter-window platforms punish timing lapses more severely simply because there is less margin for delay. A process tuned to a marketplace with a 14 or 30-day window will silently underperform on a 48 to 72 hour window unless timing is treated as its own discipline, not a side effect of general claim processing speed.

Lever 3: Reason-Code Accuracy

Less discussed than evidence or timing, but a genuine and common source of avoidable rejections.

The problem. Every marketplace requires a claim to be filed under a specific reason category, wrong item, damaged, missing contents, non-delivery, and so on, and the evidence and review process differs by category. A claim filed under the wrong reason code is often rejected not because the underlying loss was invalid, but because the evidence submitted does not match what that specific reason code requires.

Why this happens more often than sellers expect. Reason-code taxonomies differ across marketplaces, and a category that maps cleanly to a dispute type on one platform may not exist, or may be labeled differently, on another. A seller working across six marketplaces has to correctly translate the same underlying dispute into six different taxonomies, and errors here are easy to make under time pressure and easy to miss afterward, since the resulting rejection often looks like an evidence problem rather than a categorisation one.

The fix. Treat reason-code selection as its own step, not an afterthought to attaching evidence, and periodically audit rejected claims specifically for cases where the reason code, not the underlying evidence, was the likely cause of denial.

Lever 4: Filing Completeness

The lever most connected to filed rate rather than approval rate directly, but it affects the credibility of approval rate as a metric.

Why partial filing distorts the picture. A seller who only files the largest, most obvious claims and skips smaller or less certain ones often shows a healthy approval rate on paper, since the claims that do get filed are the strongest ones. This looks like good performance while leaving substantial recoverable value unfiled. A genuinely comprehensive filing practice, including smaller and less certain claims, will show a somewhat lower raw approval rate while recovering meaningfully more total value.

The practical implication. Do not optimise approval rate by filing conservatively. A 90 percent approval rate on ten claims a month is a worse outcome than a 65 percent approval rate on fifty claims a month, even though the second number looks less impressive on a dashboard.

Lever 5: Appeal Follow-Through

The most commonly skipped lever, largely because a rejection feels final even when it is not.

What most sellers do. Treat a rejected claim as closed and move on, particularly under time pressure with new returns arriving daily.

What high performers do instead. Several marketplaces explicitly allow a follow-up on a rejected claim, either as a formal appeal window or a reopened ticket, provided new or additional evidence is submitted rather than the original evidence resubmitted unchanged. A rejection is frequently a signal that the original evidence did not meet the bar for that specific reason code, not a final judgment on the underlying validity of the claim.

The discipline this requires. Treat every rejection as a diagnostic question before deciding whether to appeal: was the evidence insufficient in a way that can be fixed, was the reason code wrong, was the claim filed late. Resubmitting identical evidence after a rejection rarely changes the outcome. Diagnosing the specific gap and closing it before appealing usually does.

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What Happens When You Increase Claim Approval Rate Across All Five Levers Together?

The levers compound rather than add, which is why sellers who fix several at once tend to see larger gains than the sum of each lever fixed in isolation would suggest.

An anonymised example illustrates this. A single enterprise deployment moved from partial, inconsistent capture and filing practices to systematic, order-linked evidence capture with automated, in-window filing. Approval on decided claims moved from 42.3 percent to 60.3 percent within a single month of that shift, across 868 claims filed against 94,904 captured packing videos on 95,836 tracked orders. The change was not one lever in isolation; it was evidence specificity, timing discipline, and filing completeness improving simultaneously because all three depend on the same underlying capability, evidence existing automatically and being ready to file the moment a claim becomes eligible.

The realistic range worth targeting. Sellers without a structured claim process commonly recover under 20 percent of eligible claim value. Sellers with disciplined practice across these five levers commonly recover 65 to 90 percent. The gap between those two numbers is rarely explained by claim volume or which marketplaces a seller sells on. It is explained by which of the five levers are actually being worked, consistently, on every claim.

Where TrackVid Fits

TrackVid is a video proof and claim management platform used by 1,100+ ecommerce sellers, automating evidence-based claim filing across Flipkart, AJIO, Myntra, Nykaa, Amazon, Meesho, Snapdeal and other channels.

How it addresses each lever directly:

• Lever 1, evidence specificity: automatic, order-linked video capture at packing and on return, tied to Order ID, AWB and SKU, so evidence is specific by default rather than reconstructed after the fact
• Lever 2, timing discipline: automated claim filing via robotic process automation, cutting the time between an eligible event and a filed claim from 15 to 20 minutes to under a minute, which matters most on the shortest windows
• Lever 3, reason-code accuracy: claims are prepared to each platform's specific format and category as part of the automated filing process, rather than relying on manual selection under time pressure
• Lever 4, filing completeness: return reconciliation surfaces claims that would otherwise expire unfiled, directly addressing the gap between eligible and filed claims
• Lever 5, appeal follow-through: claim status tracking to resolution, so rejections are visible and actionable rather than silently closed out

Prepaid recharge pricing at roughly ₹1 to ₹2 per claim processed, no commission on recovered funds, means working all five levers on every claim, including small ones, remains economically rational rather than a triage decision.

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Read Next

• SPF Claim Automation in India: The Complete Guide, the category overview this playbook sits inside
• Every Marketplace Claim Window in India, Compared, the full detail behind Lever 2
• The Claims You Never Filed, the full detail behind Lever 4
• Snapdeal Claim Automation, evidence specificity requirements on the tightest window in the cluster

Frequently Asked Questions

How do I increase my marketplace claim approval rate?

Focus on five levers: evidence specificity, filing within the window every time, selecting the correct reason code, filing every eligible claim rather than only the obvious ones, and following up on rejections with new evidence rather than treating them as final.

Why is my claim approval rate low?

Usually a combination of generic rather than order-specific evidence, claims filed close to or outside the window, incorrect reason-code selection, or rejections that were never appealed. Approval rate rarely stays low due to one single cause.

What improves claim approval on marketplaces?

Order-linked video or photo evidence specific to the claim reason is the single highest-impact improvement, since generic evidence is the most common reason a claim with a genuinely valid underlying dispute still gets rejected.

How do I win more marketplace claims?

Treat each of the five levers, evidence, timing, reason code, completeness, and appeals, as its own discipline rather than one general claims process. Sellers who work all five consistently commonly recover 65 to 90 percent of eligible value, compared to under 20 percent for sellers without a structured process.

What evidence increases claim approval?

Video or photographic evidence tied specifically to the order in question, showing exactly what was packed or what a return contained, captured automatically rather than reconstructed after the dispute arises. Several Indian marketplaces specifically require unboxing-style video for condition and contents disputes.

Should I appeal a rejected marketplace claim?

Often yes, provided you have new or additional evidence rather than the original evidence unchanged. Diagnose why the claim was rejected first, evidence gap, wrong reason code, or timing, since resubmitting identical evidence rarely changes the outcome.

Does filing more claims lower my approval rate?

It can, and that is not necessarily a bad thing. A seller filing every eligible claim, including smaller or less certain ones, typically shows a somewhat lower raw approval rate than a seller who only files the strongest claims, while recovering significantly more total value.

How much can approval rate realistically improve?

Sellers without a structured process commonly recover under 20 percent of eligible claim value. Disciplined practice across the five levers in this guide commonly moves that to 65 to 90 percent, with the specific gain depending on which levers were weakest to begin with.

Is timing or evidence quality the bigger factor in approval rate?

Both matter, but evidence specificity usually has the larger single impact, since it affects every claim regardless of platform. Timing discipline matters most on short-window platforms specifically, where even strong evidence is denied if filed outside the window.

Why do reason codes matter for approval rate?

Because evidence and review criteria differ by claim reason. A claim filed under the wrong reason code is often rejected even with strong underlying evidence, since the review process is checking that evidence against a category it does not actually match.

Sources: TrackVid platform data across 1,100+ ecommerce sellers; anonymised enterprise deployment data (94,904 packing videos, 95,836 tracked orders, 868 claims filed, approval 42.3% to 60.3%); Flipkart, AJIO, Myntra, Nykaa, Meesho and Snapdeal seller documentation, 2026

Approval rate outcomes depend on your specific product mix, claim types and marketplace policies, which change periodically. This guide describes general practices, not a guaranteed outcome.

TrackVid is a video proof and claim management platform for ecommerce sellers, providing order ID-linked evidence capture and automated claim filing across major marketplaces on a prepaid per-claim pricing model. Learn more at trackvid.in.