Fraud takes several forms
Online stores face a mix of threats, each needing a different response.
| Threat | What it looks like | Typical damage |
|---|---|---|
| Card testing | Bots try many stolen cards with small purchases or donations | Processor fees, declines, account flags |
| Stolen card fraud | Criminals buy goods with stolen cards | Chargebacks and lost merchandise |
| Account takeover | Attackers log into customer accounts with reused passwords | Fraudulent orders, stored data exposure |
| Friendly fraud | Real customers dispute legitimate charges | Chargebacks, lost revenue |
| Return and refund abuse | Fake claims, empty-box returns, wardrobing | Losses and costs |
| Promo and coupon abuse | Bots or users exploit offers | Margin loss |
| Scalper and inventory bots | Automated buying of limited stock | Angry customers, lost sales |
| Scraping | Bots copy catalogs and prices | Competitive and bandwidth costs |
Layer your defenses
No single tool stops everything. Build layers.
1. At the edge: manage bots
Use a web application firewall or bot management service to identify automated traffic. Apply rate limits to login, checkout, coupon and gift card endpoints. Challenge suspicious traffic with unobtrusive checks first, and use CAPTCHAs sparingly because they add friction and can create accessibility problems.
2. At checkout: verify
- Use address verification and card security code checks.
- Enable 3-D Secure where appropriate, which can shift liability for authenticated transactions in many cases, though it may add friction.
- Limit retries on declined cards.
- Add velocity checks for many attempts from one device, IP address or email.
3. On orders: score risk
Fraud screening tools combine signals such as device, email age, address mismatch, shipping to freight forwarders, unusual order size and past behavior. Many payment providers and platforms include basic scoring. Route orders into: approve, review or decline.
4. After the order: review and fulfill carefully
Hold high-risk orders for manual review before shipping. Verify with the customer where appropriate. For high-value goods, require signature on delivery.
5. Protect accounts
Offer multifactor authentication, check passwords against known breached lists, throttle login attempts and alert customers to new device logins.
Balance fraud prevention and revenue
Overly strict rules lose real sales, and the cost of false declines can exceed fraud losses. Track both:
- Fraud and chargeback rate.
- False positive rate: legitimate orders declined or canceled.
- Manual review volume and time.
- Approval rates by segment.
Tune thresholds with your own history. Treat repeat customers and low-risk segments differently from first-time orders with risky features.
Chargeback management
- Keep clear descriptors so customers recognize charges.
- Send order confirmations and shipping notices, and keep delivery proof.
- Make customer service easy to reach so people ask you before their bank.
- Collect evidence quickly and respond within deadlines, using the format your processor requires.
- Track reasons and fix root causes.
Card networks monitor dispute ratios, and exceeding thresholds can bring fees or restrictions, so watch the numbers.
Returns and promotions
Set clear return policies, inspect returns, limit abuse patterns through account history and avoid stackable promotions that bots can exploit. Use single-use codes and limit per customer where appropriate.
Operational habits
- Monitor traffic and order anomalies in real time during sales and launches.
- Prepare a runbook for card-testing attacks, including temporarily disabling guest checkout or adding challenges.
- Keep admin access secure with multifactor authentication.
- Train support staff to spot social engineering.
Privacy and fairness
Fraud tools process personal data, so disclose their use in your privacy policy and avoid rules that discriminate unfairly. Review automated declines for patterns that disadvantage particular groups.
FAQ
What is card testing?
It is when bots use small transactions to test whether stolen card numbers work. Rate limits, bot protection and limits on declined attempts help stop it.
Should I use CAPTCHA at checkout?
Use it sparingly, as it adds friction. Prefer invisible bot detection and rate limits, and apply challenges only to suspicious traffic.
How do I reduce chargebacks?
Use recognizable billing descriptors, communicate clearly, make support easy, keep delivery evidence and respond to disputes promptly.
Can fraud tools block real customers?
Yes. Monitor false positives and tune rules, so you stop abuse without losing legitimate sales.
TURN INSIGHT INTO ACTION
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