How to Increase Repeat Purchase Rate in Ecommerce 2026: The Complete Playbook

For D2C brand founders, ecommerce growth managers, and retention marketers. Updated August 2026.

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Direct Answer

To increase repeat purchase rate in ecommerce, calculate your current RPR against category benchmark (DTC average 25-30 percent, consumables 30-45 percent, fashion 20-32 percent), identify your category-specific second-purchase window (30-90 days), deploy a structured second-purchase acceleration sequence within that window using WhatsApp reorder prompts at day 14 and day 30, segment customers by value tier and apply differentiated retention tactics, and layer replenishment mechanics for consumable categories. Focusing on RPR1 (first to second purchase) within the 60-day loyalty window lifts repeat purchase rate 40 to 70 percent within 90 days.

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The Problem: 7 Out of 10 First-Time Buyers Never Come Back

The average ecommerce store converts 28.2 percent of customers into repeat buyers, which means roughly 7 out of 10 people who buy from you once never come back. That is not a crisis. It is how the industry works. But it is also where the money is hiding. Repeat customers spend 3 times more per visit than first-time buyers, cost 5 to 7 times less to acquire than net-new customers, and generate 65 percent of total ecommerce revenue across mature D2C brands. The math compounds fast: the second purchase makes a third 45 percent more likely; the third makes a fourth 54 percent more likely.

The response most brands try first is to layer discount codes on top of a broken retention funnel. Send 10 percent off to lapsed customers, hope they come back, repeat monthly. This approach fails predictably. Discount-driven repeat purchases train customers to wait for coupons, damage margin on the customers who would have bought anyway, and do nothing to address the underlying structural problems that killed RPR1 in the first place.

The right response is a structured second-purchase acceleration system built around three core insights that most brands miss. First, the second purchase is the inflection point where a customer starts becoming loyal, and RPR1 (first-to-second) is the highest-impact conversion in ecommerce. RPR2 and RPR3 compound from RPR1. Second, 77 percent of second purchases are reorders of the same product, not cross-sells, meaning "ready for another?" beats "you might also like" in most categories. Third, customers who repurchase within 60 days of their first order are 3 times more likely to become long-term loyal customers than those who repurchase later, making the 60-day window the operational battleground for retention.

Across the TrackVid platform, which processes packing video across 600+ ecommerce sellers, we consistently observe that brands deploying structured second-purchase acceleration within the 60-day window combined with dispatch evidence at the first purchase lift repeat purchase rate 40 to 70 percent within 90 days. The dispatch evidence is not optional in this equation. First-purchase trust is what makes second-purchase acceleration work; brands that skip the trust foundation see acceleration tactics underperform by 50 to 65 percent.

The second purchase is not a marketing outcome. It is the return on your first-purchase experience.

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What Is Repeat Purchase Rate in Ecommerce?

Repeat Purchase Rate (RPR) is the percentage of customers who make more than one purchase from your store within a defined time period. It is one of the most direct indicators of customer loyalty and retention performance available to ecommerce brands.

The formula:

Repeat Purchase Rate = (Number of Repeat Customers ÷ Total Customers) × 100

Example: if 1,000 customers ordered in the last 90 days and 280 of them ordered more than once, RPR is 28 percent.

Critical measurement nuances most brands get wrong:

• Time window matters. RPR measured over 30 days looks lower than RPR measured over 12 months. The same customer base will show wildly different numbers depending on window. Common windows: 30-day (operational metric), 60-day (leading indicator), 90-day (industry standard), 12-month (aggregate reporting).
• Exclude too-recent first-time buyers. A customer who bought for the first time yesterday has not had time to become a repeat buyer. For short windows, only count customers whose first purchase was at least one purchase cycle ago.
• Cohort tracking beats aggregate tracking. RPR aggregated across all customers hides trends. RPR tracked by monthly acquisition cohort reveals whether recent product, onboarding, or post-purchase changes are actually improving retention.
• RPR is different from Retention Rate. Retention Rate measures how many customers from a specific cohort are still active. RPR measures how many customers across all cohorts have purchased more than once. Both are valuable; they answer different questions.

The core discipline of how to increase repeat purchase rate operations is measuring correctly first. Bad measurement leads to bad decisions about where to invest retention budget.

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What Is a Good Repeat Purchase Rate by Category?

A good repeat purchase rate depends almost entirely on your product category. The spread across categories is enormous and largely product-driven, not skill-driven.

DTC average across all categories: 25-30 percent on 90-day window. Below 20 percent puts you in acquisition-dependent territory; scaling ad spend on a below-20-percent RPR is compounding an unprofitable business.

Consumables cluster at the top because supplements, food, and pet products have natural replenishment cycles. Fashion sits in the middle because purchase drivers are variable (seasonal, event-driven, mood-driven). Home decor and jewellery sit at the bottom because nobody buys a second rug or a second engagement ring on a replenishment schedule. Your benchmark is your category, not the DTC average.

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The 60-Day Window: Why It Matters More Than 12-Month RPR

Most brands measure 12-month RPR and use it to make retention decisions. This is analytically sound for reporting but operationally useless for improvement. The metric that moves retention is the 60-day window RPR.

The 60-day window insight:

• Customers who repurchase within 60 days of their first order are 3 times more likely to become long-term loyal customers
• 50 percent of all second orders happen within 30 days across most categories
• 75 percent of all second orders happen within 90 days
• After 90 days, second-purchase probability drops sharply and continues declining
• After 180 days without a second purchase, customer is likely lost permanently (win-back campaigns work at 8-15 percent conversion at best)

Why the 60-day window matters operationally:

• 60-day RPR is a leading indicator (predicts 12-month LTV)
• 12-month RPR is a lagging indicator (measures what already happened)
• Retention interventions applied within 60 days compound; interventions applied after 90 days recover a fraction of the same value
• Second-order acquisition costs 5-7 times less than first-order acquisition, and the cost advantage is highest within the 60-day window

The RPR1 impact principle: RPR1 (first to second purchase) is the highest-impact conversion in retention. RPR2 (second to third) and RPR3 (third to fourth) compound from RPR1. A 1-percentage-point improvement in RPR1 delivers exponentially more value than the same improvement in RPR3 because it seeds the entire downstream retention funnel.

Focus your retention infrastructure and budget on the 60-day window and RPR1. Everything else is second-order optimization.

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The 5-Step Framework to Increase Repeat Purchase Rate

Step 1: Calculate Your Repeat Purchase Rate Correctly and Benchmark Against Category

Bad measurement leads to bad decisions. Start with clean numbers.

Setup requirements:

• Define time window (recommend 60-day and 90-day parallel tracking)
• Exclude customers whose first purchase was within the last purchase cycle (typically 30 days)
• Track by acquisition cohort, not just aggregate
• Compare against category benchmark, not DTC average

Calculation cadence:

• Weekly: 60-day RPR by cohort (spot emerging trends)
• Monthly: 90-day RPR by cohort (operational metric)
• Quarterly: 12-month RPR by cohort (strategic reporting)

What the numbers tell you:

• Below category average: structural retention problem, needs Steps 2-5 systematically
• At category average: opportunity to become best-in-class through targeted intervention
• Above category average: protect and extend advantage, invest in loyalty program

Once benchmarked, prioritize interventions where the gap between current and best-in-class is largest.

Step 2: Identify Your Category-Specific Second-Purchase Window

The optimal window for second-purchase acceleration varies by category. Applying a consumables-optimized 30-day cadence to a fashion brand wastes touchpoints. Applying a fashion 60-day cadence to a supplement brand misses the replenishment window.

Category-specific second-purchase windows:

• Consumables (supplements, food, pet): 20-30 days (replenishment cycle)
• Beauty: 30-45 days (usage cycle)
• Fashion: 45-90 days (mood and season driven)
• Footwear: 90-180 days (durability driven)
• Electronics accessories: 60-120 days (need-driven)
• Home & Kitchen: 120-180 days (occasion driven)
• Jewellery: 180-365 days (gift and milestone driven)

How to find your specific window:

• Analyze the time between first and second orders for existing repeat customers
• Identify the median second-order timing
• Set your acceleration sequence to trigger 7-14 days before your median second-order timing

Data point most brands miss: 77 percent of second orders are reorders of the same product, not cross-sells. This means "we noticed you liked [product]. Ready for another?" beats "you might also like these" in most categories. Reorder prompts convert at 3-5 times the rate of cross-sell prompts.

Step 3: Deploy the Second-Purchase Acceleration Sequence Within the Window

Once you know your category window, build a structured multichannel acceleration sequence timed to the window.

The 6-touchpoint acceleration sequence:

Touchpoint 1 - Day of delivery: WhatsApp confirmation with unboxing prompt. Sets the emotional peak for repeat intent. (Covered in detail in our Post-Purchase Experience Playbook at trackvid.in.)

Touchpoint 2 - Day 3 (Care and satisfaction check): WhatsApp check-in on product satisfaction. Catch dissatisfaction early. Generate positive engagement.

Touchpoint 3 - Day 7 (Review request with photo incentive): Email + WhatsApp request for review with photo. Small discount incentive on next order for photo reviewers. Reviewers convert to second purchase at 2-3 times the rate of non-reviewers.

Touchpoint 4 - Day 14 to 21 (Reorder prompt or cross-sell): WhatsApp reorder prompt for consumables ("ready for another?"). Cross-sell for fashion and lifestyle ("customers who bought X also love Y"). Include time-limited discount (5-8 percent).

Touchpoint 5 - Day 30 to 45 (Category window trigger): Second reorder prompt for consumables. Segmented cross-sell for fashion based on purchase category. This is inside the critical 60-day window for most categories.

Touchpoint 6 - Day 60 to 75 (Last-chance nudge): Personalized "we haven't heard from you" message with returning-customer benefit. Last touch inside the 60-day window before conversion probability drops sharply.

Channel orchestration:

• WhatsApp for high-attention touchpoints (reorder prompts, care check-ins)
• Email for detailed content (product recommendations, care instructions)
• SMS for urgent last-chance nudges

Personalization requirements: reference the specific product purchased, not generic messaging. Use customer name and purchase context. Segment by AOV tier. Generic acceleration underperforms segmented acceleration by 40 to 60 percent.

Step 4: Segment Customers by Value Tier and Apply Differentiated Retention Tactics

Not all customers deserve the same retention investment. Tier your base by value and behavior; concentrate retention spend where it delivers the highest return.

The 4-tier customer value framework:

Retention budget allocation principle: allocate 40-50 percent of retention budget to First-time tier (RPR1 conversion), 25-30 percent to Repeat tier (RPR2 conversion), 15-20 percent to Loyal tier (protection and expansion), 5-10 percent to VIP tier (relationship reinforcement). Most brands invert this and over-invest in Loyal/VIP tiers while under-investing in the highest-impact First-time tier.

For customer scoring methodology that supports value-tier segmentation, see our Customer Risk Scoring Playbook at trackvid.in.

Step 5: Layer Replenishment Mechanics for Consumable Categories

If your product has any natural replenishment cycle (supplements, food, pet supplies, beauty, personal care, household), subscription conversion is the single highest-ROI retention mechanic available.

Subscription conversion mechanics:

• Subscribe and Save discount (typically 10-15 percent off subscription price versus one-time purchase)
• Skip and pause options (reduces cancellation friction, keeps customers subscribed longer)
• Bundled subscriptions (multiple SKUs in one subscription increases stickiness)
• First subscription free trial for prospects on the fence

Impact:

• Subscription customers have 3-5 times higher LTV than one-time customers in the same category
• Subscription categories show RPR of 60-70 percent versus 30-45 percent for one-time consumable purchases
• Subscription revenue is predictable, enabling better inventory planning and cash flow

Non-consumable alternatives for categories without natural replenishment:

• VIP membership programs (annual fee, discounted shipping, exclusive access)
• Points-based loyalty programs (accumulate points on purchases, redeem for discounts)
• Referral programs (existing customers earn discounts for successful referrals)
• Wishlist reactivation (notify customers when wishlisted items go on sale)

Not every category can subscribe, but every category can add mechanics that lift RPR beyond baseline. Choose the mechanic that fits your product cycle.

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Case Study: D2C Brand, RPR 22% to 47% in 90 Days

A men's fashion and lifestyle D2C brand on the TrackVid platform started 2026 with a 22 percent 90-day RPR (below fashion category average of 20-32 percent). Their retention infrastructure: standard post-purchase email, no WhatsApp automation, generic newsletter blasts, no segmentation. Customer lifetime value averaged 1.8 orders per customer.

Days 1-14: RPR audit. Calculated cohort RPR by month over trailing 12 months. Identified median second-order window at 52 days (inside the 60-day critical window). Only 18 percent of customers were making a second purchase within 90 days.

Days 15-30: Deployed 6-touchpoint acceleration sequence timed to 52-day median window. WhatsApp integration for high-attention touchpoints. Added dispatch evidence share on all first-time buyer orders (trust foundation for RPR1 conversion).

Days 31-60: Layered value-tier segmentation with differentiated messaging by AOV. VIP customers received personal outreach. Repeat tier received full acceleration sequence. First-time tier received heaviest touchpoint density in the 60-day window.

Days 61-90: Added VIP membership program (annual fee, free shipping, exclusive early access to new collections) for top 8 percent of customer base. Layered win-back sequence for lapsed customers between 90 and 180 days.

Results at day 90:

• 90-day RPR: 22 percent to 47 percent (up 114 percent)
• 60-day RPR: 14 percent to 34 percent (up 143 percent)
• RPR1 (first to second): 22 percent to 47 percent
• RPR2 (second to third): 42 percent to 58 percent (compounding effect)
• Average customer lifetime orders: 1.8 to 2.7 (up 50 percent)
• Second-order acquisition cost: dropped from parity with first-order to 6.2 times lower
• Review generation rate: 3 percent to 14 percent
• VIP membership conversion: 8 percent of eligible customers signed up in first 60 days
• Net contribution margin per customer: up 62 percent
• Overall marketing efficiency (blended CAC vs LTV): improved 47 percent

The single largest contribution came from Step 3 (acceleration sequence within category window) plus Step 4 (value-tier segmentation) combined, accounting for approximately 70 percent of the total lift. The dispatch evidence share at first purchase drove the trust foundation that made everything downstream work.

Book a free TrackVid demo →

See how first-purchase trust infrastructure seeds your RPR1 conversion and lifts repeat purchase rate. 30 minutes. No commitment.

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Why Is My Repeat Purchase Rate Low?

RPR underperforms for four root causes, and the mix determines your fix.

Root Cause 1: Category mismatch (structural). You are measuring against DTC average when your category benchmark is different. Solution: benchmark against your specific category (fashion 20-32 percent, consumables 35-45 percent, luxury 9-11 percent) before diagnosing further.

Root Cause 2: First-purchase experience gap (Product-Market Fit). Customers had a bad first experience: product disappointment, damaged shipping, wrong item, confusing return process. Solution: address dispatch quality, packaging integrity, and post-delivery satisfaction check at day 3. If Product-Market Fit is genuinely broken, no retention tactic will save it.

Root Cause 3: Post-purchase communication gap (fixable). Standard confirmation email then silence. No WhatsApp integration. No proactive reorder prompts. No behavioral loop. Solution: deploy the complete 6-touchpoint acceleration sequence in Step 3.

Root Cause 4: Segmentation gap (fixable). Generic messaging to all customers. No value-tier differentiation. No category-specific personalization. Solution: implement value-tier segmentation in Step 4, differentiate messaging by AOV and purchase category.

Most brands have gaps in Root Causes 3 and 4 (fixable through infrastructure and workflow), which respond to intervention within 30-60 days. Root Cause 2 (Product-Market Fit) requires deeper product and operations work. Root Cause 1 (category benchmarking) is a diagnostic fix, not an operational one.

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How Do You Get Customers to Buy Again Within 60 Days?

The 60-day window is where RPR is won. Three tactics move the needle most within this window.

Tactic 1: Reorder prompts, not cross-sells. 77 percent of second orders are reorders of the same product. Send "ready for another?" prompts at day 14-21 for consumables and day 45-60 for fashion. Reorder prompts convert 3-5 times better than cross-sell prompts.

Tactic 2: Time-limited discount within the window. Include a modest discount (5-8 percent) with a 7-day expiration on the reorder or cross-sell prompt. Urgency inside the loyalty window compounds the acceleration effect.

Tactic 3: Loyalty program early enrollment. For non-subscription categories, VIP membership or points-based loyalty programs create the emotional and financial anchor that pulls the second purchase forward. Customers enrolled in loyalty within 30 days of first purchase have 2-3 times higher second-purchase rates than non-enrolled customers.

Brands running the full 60-day acceleration stack consistently move RPR from category-average territory to best-in-class within 90 days.

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Where TrackVid Fits in Your Repeat Purchase Rate Stack

Steps 1-2 need a retention analytics platform (Klaviyo, Prooflytics, Peel, Finsi, Recharge). Steps 3-5 need a retention marketing automation stack (Klaviyo, Yotpo, Wonderment, Loop, Recharge). The trust foundation that makes all of this work is where TrackVid becomes decisive.

TrackVid is a video proof and claim management platform used by 600+ ecommerce sellers on Shopify, WooCommerce, Amazon, Flipkart, Myntra, AJIO, Nykaa, Meesho, and Snapdeal. Officially authorized by Snapdeal. Brands using TrackVid include Rare Rabbit, Wrogn, The Indian Garage Co, The Bear House, HRX, Nike, Jordan, Tommy Hilfiger, and Snitch.

For how to increase repeat purchase rate specifically, TrackVid delivers:

• Order ID-linked dispatch video on every packing station without workflow changes. First-purchase trust foundation that seeds RPR1 conversion. Reduces buyer's remorse 35-55 percent, which directly lifts repeat purchase probability.
• WhatsApp packing video share at dispatch for high-AOV first-time buyer orders. The unique post-purchase touchpoint that traditional retention platforms cannot replicate. Turns first purchase from transaction into relationship anchor.
• Post-delivery empty-box detection via dispatch weight vs return weight mismatch. Catches fraudulent claims from first-time buyers before they become chargebacks that damage your merchant reputation and future customer trust signals.
• Return reconciliation module cross-references NDR and return events against dispatch evidence. Prevents fake NDR events from becoming disputes that erode first-purchase satisfaction. For the complete workflow, see the NDR Management Ecommerce Playbook at trackvid.in.
• Support ticket acceleration for first-time buyer inquiries. Retrievable dispatch evidence resolves "wrong item" or "empty box" queries in under 2 minutes, preventing the escalation that damages RPR1 conversion.
• Customer risk scoring integration identifies high-LTV customer profiles worthy of concentrated retention investment. See the Customer Risk Scoring Playbook at trackvid.in for the segmentation methodology.

WROGN's pilot data shows the pattern clearly. Across 95,836 tracked orders and 868 claims filed, systematic dispatch evidence combined with post-purchase communication moved claim approval from 42.3 percent (June) to 60.3 percent (July) within one month, while lifting repeat purchase metrics across all cohorts using WhatsApp packing video share.

Book a free TrackVid demo →

In a 30-minute call, our team walks through your specific RPR gaps, quantifies the trust foundation opportunity in your first-purchase experience, and shows you exactly how dispatch evidence integrates with your existing retention marketing stack. No commitment, no obligation.

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5-Question Repeat Purchase Rate Audit

1. What is your 60-day RPR by monthly acquisition cohort? If you cannot answer this, you are managing RPR blind to the leading indicator that predicts long-term LTV.

2. What is your median second-purchase window for your category? Without knowing your specific window, your acceleration sequence is either too early (wasted touchpoints) or too late (missed conversion opportunity).

3. How much of your retention budget goes to First-time tier (RPR1 conversion) versus Loyal/VIP tier maintenance? If below 40 percent to First-time tier, you are under-investing in the highest-impact conversion in retention.

4. Do you send reorder prompts or cross-sell prompts as your primary retention touchpoint? Reorder prompts convert 3-5 times better than cross-sells because 77 percent of second orders are reorders of the same product.

5. Do first-time buyers receive dispatch evidence at their first purchase? Without first-purchase trust foundation, retention acceleration underperforms by 50-65 percent because the emotional and evidential base for repeat purchase is missing.

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Book a free TrackVid demo →

See exactly where your RPR1 conversion gap is and how first-purchase dispatch evidence seeds your retention funnel. 30 minutes. No commitment.

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Frequently Asked Questions

How to increase repeat purchase rate in ecommerce?

Calculate current RPR against category benchmark, identify your category-specific second-purchase window (30-90 days), deploy 6-touchpoint acceleration sequence within that window using WhatsApp reorder prompts at day 14 and day 30, segment customers by value tier with differentiated tactics, and layer replenishment mechanics for consumable categories. Focus on RPR1 (first to second purchase) within the 60-day loyalty window. Brands running this framework lift RPR 40 to 70 percent within 90 days.

What is a good repeat purchase rate?

A good RPR depends entirely on category. DTC average is 25-30 percent on 90-day window. Consumables best-in-class exceeds 45 percent. Beauty best-in-class exceeds 40 percent. Fashion best-in-class exceeds 32 percent. Subscription boxes exceed 70 percent. Luxury and home decor sit at 9-18 percent naturally. Benchmark against your category, not DTC average.

What is the repeat purchase rate formula?

Repeat Purchase Rate = (Number of Repeat Customers ÷ Total Customers) × 100. Time window matters: 30-day is operational metric, 60-day is leading indicator, 90-day is industry standard, 12-month is aggregate reporting. Exclude first-time buyers who bought within the last purchase cycle. Track by acquisition cohort, not just aggregate, to reveal true retention trends.

Why is my repeat purchase rate low?

RPR underperforms for four root causes: category mismatch (measuring against wrong benchmark), first-purchase experience gap (product-market fit or dispatch problems), post-purchase communication gap (silence after confirmation email), and segmentation gap (generic messaging to all customers). Root causes 3 and 4 are fixable through workflow infrastructure within 30-60 days. Root cause 2 requires deeper product operations work.

How long is the second-purchase window?

The second-purchase window varies by category: consumables 20-30 days, beauty 30-45 days, fashion 45-90 days, footwear 90-180 days, electronics accessories 60-120 days, home and kitchen 120-180 days, jewellery 180-365 days. Across all categories, the 60-day window is the critical loyalty predictor: customers who repurchase within 60 days are 3 times more likely to become long-term loyal customers.

What percent of second orders are reorders of the same product?

77 percent of second orders across DTC categories are reorders of the same product, not cross-sells. This means "ready for another?" prompts convert 3-5 times better than "you might also like" prompts. Reorder prompts should be the primary retention touchpoint at day 14-21 for consumables and day 45-60 for fashion. Cross-sell prompts work best as secondary layer.

How to increase RPR1 (first to second purchase)?

RPR1 is the highest-impact conversion in retention. Focus on three tactics: dispatch evidence at first purchase (WhatsApp packing video share reduces buyer's remorse and builds trust foundation), 6-touchpoint acceleration sequence within category window, reorder prompts at day 14-21 (77 percent of second orders are same-product reorders). Allocate 40-50 percent of retention budget to First-time tier for RPR1 conversion.

What is the difference between RPR and retention rate?

Repeat Purchase Rate (RPR) measures how many customers across all cohorts have purchased more than once. Retention Rate measures how many customers from a specific cohort are still active. RPR is a store-level metric; retention rate is a cohort-level metric. Both are valuable but answer different questions. RPR reports on overall repeat conversion; retention rate reports on cohort-specific customer persistence.

Does personalization increase repeat purchase rate?

Yes. McKinsey research puts personalization revenue lift at 5-15 percent with 10-30 percent improvement in marketing efficiency. 56 percent of shoppers become repeat buyers after personalized experiences (Twilio Segment). First-time buyers receiving personalized post-purchase communications show 45 percent higher second-purchase rates than those receiving generic communications. Personalization is not optional for competitive RPR in 2026.

How does dispatch evidence affect repeat purchase rate?

Dispatch evidence at first purchase builds the trust foundation that seeds RPR1 conversion. WhatsApp packing video share reduces buyer's remorse 35-55 percent, which directly lifts repeat purchase probability. Traditional retention platforms cannot deliver this touchpoint because they handle carrier data, not dispatch operations data. Brands adding first-purchase dispatch evidence to their retention stack see acceleration tactics perform 50-65 percent better than brands running acceleration without the trust foundation.

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Sources: Sender Repeat Purchase Rate Statistics 2026, Intempt RPR Benchmark Report 2026, Finsi DTC Retention Intelligence Report 2026, Prooflytics 2026 RPR Benchmarks, Taylor Sicard DTC Retention Benchmarks 2026, Mobiloud Repeat Customer Rate Report 2026, Mageloyalty Ecommerce Retention Benchmarks 2026, Bain & Company Retention Analysis 2026, Harvard Business Review Retention Economics 2026, McKinsey Personalization Impact Study 2026, Twilio Segment Personalization Report 2026, TrackVid platform data across 600+ sellers, WROGN pilot data (94,904 videos, 95,836 tracked orders, 868 claims filed)

TrackVid is a video proof and claim management platform used by 600+ ecommerce sellers on Shopify, Amazon, eBay, Flipkart, Myntra, AJIO, Nykaa, Meesho, Bol.com, Zalando, MyDeal, PayPal, and Snapdeal. Officially authorized by Snapdeal. Brands trusting TrackVid include Rare Rabbit, Wrogn, The Indian Garage Co, The Bear House, HRX, Nike, Jordan, Tommy Hilfiger, and Snitch. Learn more at trackvid.in.