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Folloze

Folloze operates a buyer experience platform that builds personalized content journeys using progressive identity resolution — combining cookie matching, account-level identification, gated form captures, and behavioral signals to de-anonymize and track visitors across ABM landing pages. While positioned as a "first-party data" platform, the underlying mechanics involve extensive behavioral profiling that most site visitors never consent to or understand.

51 IOCs
0
Vendor Risk Score

How This Briefing Works

This report opens with key findings, then maps the gaps between what Folloze discloses and what BLACKOUT observed at runtime. From there: what it means for your organization, what to do about it, and the detection data and evidence underneath.

Key Findings

Analysis pending. Findings will appear here once intelligence collection is complete.

Disclosure Gaps

Claims vs. Observed Behavior

3 gaps

pending

MEDIUM
They Claim

First-party data platform

Observed Behavior

Awaiting scanner verification of tracking script behavior, cookie deployment timing relative to consent, and cross-channel data transmission endpoints

pending

MEDIUM
They Claim

GDPR compliant

Observed Behavior

Progressive identity resolution mechanics need runtime observation to confirm whether behavioral capture initiates before consent mechanisms fire

pending

LOW
They Claim

AI-powered personalization

Observed Behavior

Scope and nature of AI data processing on visitor behavioral data needs direct observation to fully characterize

Customer Impact

What This Means For You

Organizations deploying Folloze on their web properties are introducing a persistent behavioral tracking layer that captures detailed visitor interaction data. For privacy-conscious industries (healthcare, financial services, government), this creates regulatory exposure that may not be fully covered by existing consent frameworks. The progressive identity model means visitor profiling begins before identity is confirmed, which may conflict with data minimization requirements under GDPR and CCPA/CPRA. Marketing teams relying on Folloze engagement metrics as a source of truth should also account for the measurement fragmentation this creates relative to their primary analytics stack.
Recommended Actions

What To Do About It

Role-specific actions based on observed behavior

Recommended Actions for Folloze

  • - Audit consent flow timing: Verify that Folloze tracking scripts do not fire before your consent management platform captures visitor preferences. - Map data flows: Document exactly what behavioral data Folloze captures on your properties and where that data is transmitted, stored, and shared with integrated platforms. - Review DPA terms: Ensure your Data Processing Agreement with Folloze explicitly covers the progressive identity resolution mechanics and cross-channel behavioral data collection. - Assess measurement overlap: Compare Folloze engagement metrics against your primary analytics to identify attribution conflicts and measurement fragmentation. - Evaluate visitor disclosure: Confirm your privacy policy accurately describes the behavioral tracking and personalization activities Folloze performs on your site.

Negotiation Leverage

  • When negotiating with Folloze, focus on data ownership and portability clauses — ensure you retain full ownership of all behavioral data captured on your properties and can export it without restriction. Push for explicit contractual commitments on pre-consent data handling: what happens to behavioral signals captured before a visitor provides consent? Request transparency on data retention policies and deletion timelines. If integrating with 6sense or Demandbase through Folloze, clarify the data-sharing boundaries between platforms and ensure your DPA covers the full chain of custody. Folloze's value proposition depends on deployment on your properties, which gives you leverage to demand favorable data governance terms.
IOC Manifest

IOC Manifest

51 INDICATORS

Indicators of compromise across 4 categories. Use for detection rules, CSP policies, or Pi-hole blocklists.

TRACK
*cdn.folloze.com/bx3-embed-script.js*
Tracking script
TRACK
*info.folloze.com/js/forms2/js/forms2.js*
Tracking script
TRACK
*info.folloze.com/index.php/form/getForm*
Tracking script
TRACK
*cdn.folloze.com/flz/live-board/1.0.305/liveboard.js*
Tracking script
TRACK
*cdn.folloze.com/flz/widgets/1.3.726/folloze-live.js*
Tracking script
TRACK
cdn.folloze.com/bx3-embed-script.js
Auto-extracted from scan
TRACK
info.folloze.com/js/forms2/js/forms2.min.js
Auto-extracted from scan
TRACK
info.folloze.com/index.php/form/getForm
Auto-extracted from scan
TRACK
cdn.folloze.com/flz/widgets/1.3.726/folloze-live.js
Auto-extracted from scan
TRACK
cdn.folloze.com/flz/live-board/1.0.305/liveboard.js
Auto-extracted from scan
Ecosystem

Ecosystem & Supply Chain

Folloze integrates with the major ABM and marketing automation ecosystem: 6sense (intent data overlay), Demandbase (account identification), Marketo and HubSpot (marketing automation), Salesforce (CRM sync), Outreach and SalesLoft (sales engagement), PathFactory (content intelligence), and various analytics platforms. This integration depth means Folloze acts as a behavioral data multiplier — engagement signals captured on Folloze-powered pages feed into multiple downstream systems, amplifying the data exposure footprint across the entire GTM stack.
Evidence

Evidence Artifacts

Artifacts collected during analysis, available with evidence-tier access.

HAR Capture

Complete network capture with all requests and responses

IOC Manifest

51 detection signatures across scripts, domains, cookies, and network endpoints

Vendor Details