It's easy for a prospective identity platform to look like a superstar in a vendor demo.
Registration works. Login works. MFA works. SSO between applications works. The APIs behave as expected. The vendor has a story for how the platform scales and how it integrates with the rest of your environment.
Excellent. Everyone is happy and the meeting can end ten minutes early.
Except that none of what you saw tells you how well the platform fits a retail business under pressure.
Before choosing a customer identity platform, retailers need to test the conditions that are most likely to expose its limits. Black Friday is a useful way to think about those conditions because it brings several of them together at once:
- High authentication volume
- More account recovery
- More malicious traffic
- More pressure on dependent systems
- Very little tolerance for customer friction
That doesn't mean every evaluation needs to recreate Black Friday literally. Just that the proof of concept should reflect the highest-stakes environment the platform will eventually have to support.
Test Peak Traffic, Not Average Traffic#
Retail authentication volume is rarely consistent. Promotions, seasonal peaks, loyalty campaigns, and product launches can create sudden spikes. Those spikes can also coincide with password resets, account recovery, MFA challenges, and credential-stuffing attempts.
That means a peak-load test built around successful logins gives you an incomplete picture. At retail scale, the platform has to handle all of those competing authentication events at once.
- What happens when authentication traffic rises while a customer database is responding slowly?
- What happens if a risk policy begins challenging more users than usual?
- Can the platform distinguish increased risk from increased legitimate traffic, or does peak season simply result in more customers being challenged?
- Can recovery workflows scale at the same time as successful authentication, or does support traffic become the bottleneck?
The test should include all the systems authentication depends on, not just the identity platform itself. A login that technically succeeds but leaves the application waiting on customer, loyalty, or other downstream data can still feel broken to the shopper.
Stress-Test the Pricing Model#
Many CIAM pricing models are tied to monthly active users (MAUs). That can make the economics look reasonable during an evaluation because the calculation is based on the customer population you have now.
Run the numbers against the business you expect to have later.
Model a strong holiday season. Add a loyalty program that succeeds in moving more shoppers into authenticated experiences. Add another brand or region. Then look at the cost again.
Does the pricing model still make sense as customer activity grows? A platform that fits comfortably into today's budget may become much less attractive once identity is embedded across more of the business.
Include Legacy Systems in the Proof of Concept#
Most retailers have at least one legacy application, customer database, or loyalty platform that cannot simply be replaced as part of an identity project. That system belongs in the evaluation.
Connect it, then test what a real migration would require. Can existing customer data move cleanly? Can passwords migrate without forcing resets? Can applications move in stages, rather than through a single cutover? If one brand needs to stay on an older system for another year, test that too.
A proof of concept built entirely around new applications and modern protocols tells you very little about how difficult the real migration will be.
That's the point of the Black Friday test.
Seeing the platform work under ideal conditions doesn't tell you anything. What you really need to know is where the platform becomes difficult to operate, expensive to grow, or hard to integrate, so you can make a different choice while you still can.
