Returning User Experiences
Recognize returning visitors.
Welcome users back.
A cleared cookie or new session should not erase a customer’s journey. ShieldLabs recognizes returning visitors and scores current risk, helping your product restore progress and protect sensitive access.
Start FreeWelcome back, Alex
Pick up where you left off.
Returning visitTrusted
Resume the journey
Help returning users continue reading, onboarding or learning.
Reduce return-visit friction
Help familiar visitors pick up their experience before signing in.
Protect sensitive access
Get bot and account risk detections around returning activity.
Keep visits consistent
Help returning customers retain a familiar experience across visits.
Returning visitor identification
Let visitors resume their journey.
After a new session.
ShieldLabs recognizes returning visitors before login and after cookies are cleared. Your product can use that recognition to resume saved progress, preferences and carts without starting the customer journey again.
Trusted return experience
Welcome familiar visitors.
Protect sensitive access.
A familiar visitor can still bring new risk. ShieldLabs detects bots, masking and spoofing on the current visit, helping protect sensitive actions without restarting a recognized customer journey.
Welcome trusted returns
Recognize familiar visitors so your existing login flow can reserve extra checks for risky access.
Check suspicious access
Use the suspicious assessment to trigger additional checks around sensitive actions.
Restrict dangerous activity
Use the dangerous assessment to protect risky account access.
The ShieldLabs platform
More than a returning visit.
Identity with the context to act.
Pair persistent identification with device and network intelligence, bot detection, risk signals and scoring. Account abuse detections and traffic analytics keep familiar activity and risky returns in view.
Enterprise-level functionality. Without enterprise pricing.
Accurate identification
Recognize returning visitors even when they clear cookies, use incognito mode or change their IP address. Detect linked users with different email addresses.
Identification accuracy
High-Risk Event detection
Detect account abuse out of the box by automatically identifying linked users. No fraud model training is required.
Risk signals
Get ready-made detections of automation, masking and spoofing, with named risk signals behind each result.
Bot & AI traffic detection
Detect bots, scripts and browser automation. Separate useful bot and AI traffic from abusive activity.
Risk scoring
Score every visit from 0 to 100 and classify it as trusted, suspicious or dangerous. See the signals behind each score.
Device fingerprinting
Recognize devices by their fingerprints. Identify the browser, operating system and device type. Detect headless browsers and tampering.
IP & Network Intelligence
Reveal the real IP address and geolocation behind masking. Detect VPNs, proxies and private relays.
203.0.113.42198.51.100.23Traffic quality scoring and risk analytics
Get one score for all your traffic and ready-made quality results by source, channel, referrer and UTM campaign.
Analytics dashboard
Follow the visitor journey.
See recognized return visits.
Find recognized return visits, associated users and devices, and their acquisition sources. See ready-made risk assessments and detected abuse around returning activity.
How it works
Start recognizing your visitors.
Connect your product to recognize return visits and receive ready-made risk detections.
- 01
Add the snippet or SDK
Connect your product and start identifying visitors and users.
- 02
Recognize returning visitors
Receive visitor and device identifiers, linked users and ready-made risk results.
- 03
Welcome genuine users
Bring back a familiar experience while protecting your product from abuse.
Developers
Integrate in
5 minutes.
A single API to identify, detect and score. Receive risk data through API responses and webhooks. Integrate selected data points into your business logic to prevent fraud and abuse.
Build a familiar return experience
Welcome visitors back.
Make the next visit familiar.
Start Free FAQ
Understand the evidence.
Put it to work.
What is returning visitor recognition?
Returning visitor recognition identifies repeat browser activity so a product can give familiar visitors a consistent experience across visits.
How does ShieldLabs recognize returning visitors?
ShieldLabs recognizes returning visitors across sessions, cleared cookies, incognito browsing and IP changes. Your product can use visitor recognition to resume its saved customer experience.
Can I recognize a visitor before login?
Yes. ShieldLabs identifies the browser visit without requiring a name or email address. Associate the visitor identity with the relevant experience records in your product.
What happens after cookies are cleared?
ShieldLabs recognizes returning visitors after cleared cookies and keeps recognized visits associated with their history. Use that continuity to retrieve the product context for the next experience.
Does recognition replace authentication?
Recognition provides identity history and risk context. Use your existing authentication and authorization for account access and sensitive actions.
Does ShieldLabs store carts, preferences or reading progress?
These experience records belong to your product. ShieldLabs supplies visitor identity, history and risk data so you can associate an identified return with the appropriate context.
Can anonymous visitor personalization work before login?
Yes. ShieldLabs recognizes returning browser visitors before login. Your product can use that identity to retrieve its own saved cart, preferences or relevant offers; ShieldLabs does not create or store those experiences.