Can I compare discount performance across different periods?

Question

As an e-commerce manager, I'm struggling to understand how my discount campaigns perform over different time periods. I want to compare metrics like conversion rates, average order value, and total revenue generated across various promotional periods. My current reporting feels fragmented, and I need a systematic approach to analyze discount effectiveness across weeks, months, and seasons. How can I develop a comprehensive strategy to track and compare discount performance that gives me meaningful insights into my promotional efforts?

Muhammed Tüfekyapan · Accepted Answer

Preventing Discount Code FraudDiscount fraud costs Shopify merchants an estimated $2.3 billion annually in 2026. Common attacks include bulk code sharing networks, pattern guessing bots, and multiple account creation to reuse single-use codes.Fraud Attack Types and CountermeasuresAttack TypeHow It WorksPreventionCode sharing networksCodes posted on deal forumsShort expiry, use limitsPattern guessingBots test SAVE10, SAVE15, etc.Random code suffixesMultiple accountsCreating accounts for each code useEmail/phone verificationCart manipulationAdding/removing items post-codeServer-side validation at paymentFraud Detection SignalsCode usage spike within minutes of campaign launch (viral sharing)Multiple orders from same IP with different emailsNew accounts with no purchase history using exclusive loyalty codesUnusually high volume from unexpected geographic regionsGrowth Suite: Server-side code deletion makes codes technically expire - they are removed from the system, not just marked as used. Offer Fatigue Prevention adds rate limiting per customer profile, blocking abuse attempts.

Can I compare discount performance across different periods?

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Preventing Discount Code Fraud

Fraud Attack Types and Countermeasures

Fraud Detection Signals

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Muhammed Tüfekyapan

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Use Cases

Attack Type	How It Works	Prevention
Code sharing networks	Codes posted on deal forums	Short expiry, use limits
Pattern guessing	Bots test SAVE10, SAVE15, etc.	Random code suffixes
Multiple accounts	Creating accounts for each code use	Email/phone verification
Cart manipulation	Adding/removing items post-code	Server-side validation at payment