Website Insights
Infer initiatives and pain points by analyzing website changes across 6M+ companies—text modifications, page additions, and page removals.
Overview
A company's website is the most direct expression of their strategy—what they're building, who they're selling to, and where they're headed. By tracking website changes over time, we surface signals that indicate business priorities, growth initiatives, and potential pain points.
We scan 6 million company websites on a recurring basis, capturing full-page snapshots and comparing them against previous versions. Our pipeline analyzes three dimensions of change:
- Text modifications — Changes to messaging, value propositions, product descriptions, and positioning language
- Page additions — New pages for products, features, pricing tiers, compliance certifications, job listings, and partnerships
- Page removals — Deprecated products, discontinued services, or sunset features
Each detected change is classified using a model trained to infer business intent from website content. A single company might produce multiple signals if we detect meaningful changes across different areas of their site (e.g., both a pricing update and a new partnership announcement).
Signals are consolidated into 38 standardized subtypes—down from 1,700+ fragmented event types in previous iterations—making it significantly easier to filter, activate, and build workflows around website intelligence at scale.
Available Subtypes
| Subtype Enum | Description | Sample Delivery Signal Count (Jan 2026) |
|---|---|---|
acquisition | M&A activity detected | 11,436 |
brandingChange | Brand, logo, or visual identity updates | 29,038 |
communityEngagement | Community or user engagement initiatives | 6,249 |
complianceUpdate | Compliance, security, or legal page changes | 32,147 |
contactUpdate | Contact information or location changes | 1,790 |
customerWin | Customer logo, case study, or testimonial added | 57,149 |
eventAnnouncement | Event, webinar, or conference announcement | 82,741 |
executiveChange | Leadership or executive team changes | 65,875 |
expansionGeneral | General business expansion signals | 15,618 |
featureLaunch | New feature announcement | 48,689 |
featureUpdate | Existing feature enhancement | 25,579 |
fundingNews | Funding round or investment news | 11,516 |
geographicExpansion | New market or region expansion | 90,467 |
marketData | Market data or industry statistics published | 1,087 |
marketingCampaign | Marketing campaign launch | 26,807 |
marketingChannel | New marketing channel or platform | 6,106 |
marketingContent | New marketing content published | 250,168 |
marketingShift | Messaging or positioning change | 173,394 |
mediaPress | Press release or media coverage | 7,959 |
operationalChange | Operational or process changes | 25,262 |
other | Other website changes | 197,664 |
partnershipAnnouncement | Partnership or integration announced | 84,307 |
pricingChange | Pricing page or tier changes | 122,419 |
pricingPromotion | Promotional pricing or discounts | 114,512 |
productExpansion | Product line expansion | 57,094 |
productHighlight | Product spotlight or featured content | 39,434 |
productLaunch | New product announcement | 148,194 |
productRemoval | Product or feature deprecation | 23,656 |
productUpdate | Product enhancement or update | 68,519 |
programLaunch | New program (partner, referral, etc.) | 20,755 |
projectUpdate | Project milestone or update | 4,246 |
recognitionAward | Award or recognition announcement | 27,850 |
serviceUpdate | Service offering changes | 36,726 |
targetAudienceShift | Target market or audience shift | 7,504 |
teamExpansion | Hiring or team growth signals | 34,563 |
technicalUpdate | Technical or infrastructure changes | 11,214 |
technologyAdoption | New technology adoption | 32,586 |
websiteUpdate | General website updates | 61,797 |
Schema
{
"signal_id": "3eebeb4d-c518-4140-ad0c-53bfba49d950",
"signal_type": "website",
"signal_subtype": "executiveChange",
"signal_name": "Vanguard Leadership Team Update",
"detected_at": "2026-01-02T00:00:00Z",
"association": "company",
"company": {
"name": "Vanguard",
"domain": "vanguard.com"
},
"data": {
"summary": "Vanguard posted new job openings focused on application security and data analytics, including roles such as Application Threat Modeler and AppSec Project Manager.",
"evidence": "Added jobs: Data Discovery Analyst (Financial Service Domains), Application Threat Modeler, Senior Analyst, Application Threat Modeler, Specialist, AppSec Project Manager.",
"impact_rationale": "The addition of multiple specialized security and analytics roles indicates a significant investment in cybersecurity and data-driven decision-making.",
"source_url": "https://www.vanguardjobs.com",
"relevance": 0.99
}
}Field Reference
Core Fields
| Field | Type | Required | Description |
|---|---|---|---|
signal_id | string (UUID) | ✓ | Unique identifier for this signal |
signal_type | string | ✓ | Always "website" |
signal_subtype | string | ✓ | One of the 38 standardized subtypes (see table above) |
signal_name | string | Human-readable signal headline | |
detected_at | string (ISO 8601) | ✓ | When the website change was detected |
association | string | ✓ | Always "company" |
Company Object
| Field | Type | Required | Description |
|---|---|---|---|
company.name | string | ✓ | Company name |
company.domain | string | ✓ | Company website domain |
Data Object
| Field | Type | Required | Description |
|---|---|---|---|
data.summary | string | ✓ | Summary of the detected website change |
data.evidence | string | ✓ | Specific evidence of what changed (added/removed content) |
data.impact_rationale | string | Business impact explanation and sales relevance | |
data.source_url | string (URL) | ✓ | URL where the change was detected |
data.relevance | float (0.0-1.0) | ✓ | Business relevance score (see Known Limitations) |
Known Limitations
February 2026 Release Notes
Relevance scoring needs tuning. The data.relevance field is generated by an AI model that isn't calibrated as tightly as we'd like. Currently, 71% of signals score between 0.5-0.7, with only 9% scoring above 0.9. We plan to improve model calibration in upcoming deliveries so high-relevance signals are more reliably surfaced.
Limited date range. The current delivery covers website changes detected between January 2-8, 2026 only. While we've dramatically expanded company and signal coverage, the event date window is narrow. Future deliveries will analyze broader historical timestamps.
Data Activation
Timing
detected_at is when the website change was detected. The current delivery covers changes from January 2-8, 2026.
Uniqueness
One signal per subtype per company per detection window. A single company may have multiple signals across different subtypes in the same delivery.
Filtering Recommendations
- Filter on
data.relevance >= 0.7for higher-precision use cases - Use subtypes like
pricingChange,productLaunch, andpartnershipAnnouncementfor high-intent signals - Combine with other signals (news, hiring) for comprehensive account intelligence
API Usage
Generate Content API
{
"enabledInsights": ["websiteMarketingShift", "websitePricingChange", "websiteProductLaunch"],
"disabledInsights": []
}Generate Insights API
{
"insightSubtype": "websitePricingChange"
}Example Output
"Noticed your pricing page recently changed to emphasize enterprise features and custom pricing tiers. If you're gearing up for an upmarket push, would love to share how we're helping similar companies scale their enterprise sales motion."
Coverage
- Refresh: Monthly
- Websites Scanned: 6M+ companies
- Subtypes: 38 standardized event types
- Best for: Competitive intelligence, sales timing, account prioritization, market research
Updated 16 days ago
