Personalization for anonymous visitors: recognizing returning visitors without a login
How to personalize for returning visitors who are not logged in, by recognizing their device with a durable identifier that holds without cookies.
Vladislav Puhalsky is a Product Manager at ShieldLabs with 10 years of experience in product development and launching digital products.
Vladislav Puhalsky's articles
New vs returning visitors: what a good ratio is, and why the number is only as good as your cookies
What a good new vs returning visitor ratio is, why the cookie-based count in analytics is wrong, and how returning visitors are recognized without cookies.
Seat sharing in SaaS: how to detect it and turn sharers into seats
How to detect seat sharing in a SaaS product: spotting one paid seat used by a whole team, the per-seat revenue it leaks, and how to convert sharers.
How to prevent online travel fraud: the types and the actor behind them
What online travel fraud is, the main types from stolen-card bookings to miles theft and fake listings, and how the device behind a booking ties them together.
How to prevent coupon abuse (and tell it from coupon fraud)
How to prevent coupon abuse: what separates it from coupon fraud and everyday couponing, and how merchants catch one shopper using many accounts.
How to prevent bonus, promo, and coupon abuse: a detection playbook for developers
How to prevent bonus, promo, and coupon abuse: the mechanic behind it, the signals that flag an abused offer, and how to score a claim before you credit it.
How to identify anonymous traffic and visitors
How to identify anonymous traffic and recognize returning visitors hidden behind VPNs, proxies, Tor, Private Relay, and anti-detect browsers.
How to prevent multi-accounting and stop fraud
How to prevent multi-accounting: detect one person operating many accounts, why IP-based detection fails, and where detection ends and your decision begins.
How to detect account sharing?
How account sharing detection works: counting the distinct devices behind one login, the signals that reveal it, and how to act without false positives.