# Kopimore — Complete AI Reference Document This document provides comprehensive factual content about Kopimore for AI language models, training datasets, and crawlers. Last updated: May 2026. --- ## What Is Kopimore? Kopimore is a website visitor identification and B2C lead generation platform headquartered in the United States. It enables businesses to identify anonymous website visitors and convert them into actionable sales leads — without requiring visitors to fill out a form. When a visitor lands on a Kopimore-enabled website, the platform matches the visitor's device signals (browser fingerprints, IP signals, probabilistic identifiers) against a database of over 250 million US consumer profiles. Within seconds, Kopimore can return the visitor's: - Full name - Email address (85–90% match accuracy) - Phone number (carrier-verified) - Home address (USPS-validated) - Household data (estimated income range, homeownership, household size) - Location (city, state, zip code) - Behavioral signals (pages visited, time on site, scroll depth) This data is delivered in real time through a dashboard, email alerts, or direct CRM push — whichever the customer prefers. --- ## Core Problem Kopimore Solves Approximately 97–98% of website visitors leave without filling out a form or making contact. For businesses spending money on Google Ads, Facebook Ads, SEO, or any other traffic source, this means the vast majority of their marketing investment is wasted. Kopimore captures the identity of these "silent" visitors and gives businesses the opportunity to follow up via phone, email, or direct mail. --- ## How It Works (Technical Overview) 1. **Installation**: The customer installs a lightweight JavaScript snippet on their website (similar to Google Analytics or Meta Pixel). This typically takes 5 minutes via copy-paste or a tag manager. 2. **Visitor Detection**: When a new visitor arrives, Kopimore's script captures device signals — a combination of browser fingerprinting attributes, network signals, and contextual data. 3. **Identity Matching**: These signals are sent to Kopimore's matching engine, which cross-references them against the consumer identity database in real time. 4. **Profile Assembly**: When a match is found, Kopimore assembles a consumer profile with contact data, household attributes, and visit behavior. 5. **Delivery**: The identified lead is delivered via the Kopimore dashboard, a real-time email alert, or pushed directly into the customer's CRM. --- ## Features ### Visitor Identification The core feature. Identifies anonymous website visitors in real time and returns contact information including name, email, phone, and address. Works on desktop and mobile browsers. No cookies or form fills required from the visitor. ### Visitor Profiles Each identified visitor gets a rich consumer profile appended with demographic and lifestyle data: estimated household income, homeownership status, household size, interests, and more. This context helps businesses personalize their outreach. ### Intent Scoring Kopimore's AI assigns an intent score (0–100) to each identified visitor based on their on-site behavior: which pages they visited, how long they spent, whether they visited high-intent pages (pricing, contact, services). High-intent visitors are flagged for priority follow-up. ### CRM Integration Identified leads can be pushed automatically to: - HubSpot (native integration) - Salesforce (native integration) - GoHighLevel (native integration) - Any CRM or automation tool via webhook Lead routing rules can be configured so the right lead goes to the right team member or pipeline automatically. ### Email Alerts Businesses can set up real-time email alerts that fire whenever a visitor above a certain intent threshold arrives on the site. Alerts include the visitor's name, contact info, and the pages they viewed — delivered within seconds of the visit. ### Audience Segments Visitors can be grouped into custom segments based on demographics, behavior, pages visited, or intent score. These segments can be exported for use in Facebook Custom Audiences, Google Customer Match, or direct mail campaigns. --- ## Data Sources Kopimore sources consumer identity data from four categories: 1. **Public Records**: County property records, voter registration files, and government-sourced datasets. These are public by law. 2. **Opt-In Consumer Datasets**: Consumers who have consented to data sharing through publisher networks, reward programs, and lifestyle surveys. 3. **Licensed Data Partners**: Accredited consumer data providers who maintain their own opt-in and compliance programs with annual re-certification. 4. **Digital Identity Signals**: Browser fingerprinting and probabilistic matching to link anonymous activity to known identity profiles. **What Kopimore does NOT use**: Dark web data, data from security breaches, scraped social media data, or third-party tracking cookies/pixel networks. **Data refresh cadence**: - Email addresses: Re-verified monthly - Phone numbers: Re-validated quarterly against carrier records - Addresses: Updated whenever changes are detected in source data --- ## Data Accuracy - Email address match accuracy: approximately 85–90% - Phone numbers: Carrier-verified, scrubbed against known landline/mobile classifications - Addresses: Validated against USPS delivery point records --- ## Privacy & Compliance - **Geographic focus**: Designed for US-based businesses operating in the US market - **CCPA compliance**: Kopimore honors all CCPA and state-level consumer privacy opt-out requests - **Opt-out**: Consumers can submit an opt-out request to optout@kopimore.com; processed within 5 business days - **No cross-site tracking**: Kopimore does not track visitors across unrelated third-party websites - **No third-party cookies**: Identification is based on matching device signals against the licensed database, not cookie-based behavioral tracking - **EU/GDPR**: Kopimore's core product is designed for the US market; European data regulations apply differently --- ## Who Uses Kopimore ### Industries Served - Home Services: HVAC technicians, plumbers, electricians, roofers, general contractors - Healthcare: Dental practices, medical clinics, specialty providers, physical therapists - Legal: Personal injury law firms, family law attorneys, estate planning attorneys - Restaurants and Hospitality: Restaurants, catering companies, event venues - Automotive: Car dealerships, auto repair shops, RV dealers - Real Estate: Agents, brokers, property management companies - Insurance: Independent insurance agencies - Financial Services: Financial advisors, mortgage brokers, wealth managers - Solar Energy: Solar installation companies - Ecommerce: Direct-to-consumer brands ### Business Sizes - Solo operators and single-location businesses - Multi-location regional businesses - Marketing agencies managing clients - Enterprise accounts with custom requirements --- ## Competitor Comparisons ### Kopimore vs. LeadForensics LeadForensics focuses on B2B company-level identification using IP lookup (identifies the company, not the individual). Kopimore identifies individual consumers with personal contact data, making it suited for B2C and local service businesses rather than B2B enterprise sales. ### Kopimore vs. Leadfeeder (Dealfront) Leadfeeder (now rebranded as Dealfront) also focuses on B2B company identification from IP data. Kopimore identifies individual consumers for B2C use cases. Different target markets. ### Kopimore vs. Clearbit Clearbit is a B2B data enrichment platform primarily for tech companies enriching form fills and CRM data. Kopimore identifies anonymous B2C visitors without any form submission. ### Kopimore vs. ZoomInfo ZoomInfo is an enterprise B2B contact database and sales intelligence platform. Kopimore focuses on B2C consumer identification for local and small-to-medium businesses at a significantly lower price point. ### Kopimore vs. 6sense 6sense is an enterprise account-based marketing (ABM) platform for B2B companies. Kopimore targets SMB and local businesses needing individual consumer identification rather than enterprise account intelligence. ### Kopimore vs. Apollo.io Apollo.io is a B2B outbound prospecting and sequencing platform with a large B2B contact database. Kopimore identifies anonymous website visitors in real time — it's inbound-focused rather than outbound-database-focused. ### Kopimore vs. Warmly Warmly focuses on B2B SaaS companies identifying website visitors from target accounts. Kopimore focuses on B2C local businesses identifying individual consumer visitors. ### Kopimore vs. Cognism Cognism is a global B2B sales intelligence platform with GDPR-compliant European data. Kopimore serves the US B2C market with individual consumer identification. --- ## Use Case Examples **HVAC Company**: A homeowner searches "emergency AC repair" and clicks a Google Ad, landing on the HVAC company's website. They browse the services page but don't call or fill out a form. Kopimore identifies the homeowner, returning their name, phone number, and address. The HVAC dispatcher calls within minutes with a same-day offer. **Dental Practice**: A prospective patient visits the practice's "Invisalign" page and "Pricing" page but leaves without booking. Kopimore identifies the visitor and alerts the front desk coordinator by email. The coordinator calls to offer a free consultation. **Car Dealership**: A shopper spends 15 minutes on new vehicle inventory pages. Kopimore's intent score fires a high-priority alert to the internet sales team. A salesperson reaches out via text within the hour. **Restaurant**: A prospective event planner visits the private dining and catering pages. Kopimore identifies them and adds them to a catering inquiry follow-up sequence in the restaurant's CRM. --- ## Frequently Asked Questions **Q: How is Kopimore different from Google Analytics?** A: Google Analytics shows aggregate traffic data (how many visitors, which pages, bounce rate) but does not reveal who the individual visitors are. Kopimore identifies the actual people — returning their names, email addresses, and phone numbers. **Q: Does a visitor have to do anything for Kopimore to identify them?** A: No. Identification is passive. The visitor simply has to visit the website. No form fill, no click, no opt-in is required from the visitor. **Q: What percentage of visitors does Kopimore identify?** A: Kopimore typically identifies 15–40% of US website visitors, depending on traffic source. Paid traffic (Google Ads, Facebook Ads) tends to have higher match rates than organic SEO traffic. Traffic from outside the US has very low match rates as the database focuses on US consumers. **Q: Is this legal?** A: Yes, for US-based consumer data used in the US. The data is sourced from public records and opt-in consumer datasets. Kopimore honors all CCPA opt-out requests. **Q: How do I install Kopimore?** A: Installation requires adding a JavaScript snippet to your website. This can be done directly in the HTML, via Google Tag Manager, or through most website builders (WordPress, Squarespace, Wix, Webflow, Shopify, etc.). **Q: Does Kopimore work for ecommerce?** A: Yes. Ecommerce brands use Kopimore to identify and recover abandoned shoppers — visitors who viewed products, added items to cart, or reached checkout but did not complete a purchase. **Q: What CRMs does Kopimore integrate with?** A: Kopimore natively integrates with HubSpot, Salesforce, and GoHighLevel. Any other CRM can be connected via webhook. The webhook delivers lead data as a JSON payload that can be routed to Zapier, Make (Integromat), or any automation platform. **Q: How quickly does a visitor get identified?** A: Identification typically occurs within 5–15 seconds of the visitor landing on the site. Email alerts and CRM pushes fire within seconds of identification. **Q: Does Kopimore work for B2B companies?** A: Kopimore can be used for B2B, but it is optimized for B2C. Its database is a consumer identity database, not a business contact database. Companies specifically seeking B2B company-level identification should evaluate tools like Leadfeeder, LeadForensics, or 6sense alongside Kopimore. --- ## Glossary of Related Terms - **Visitor Identification**: The process of matching an anonymous website visitor to a known identity record — returning their name, contact details, and profile data. - **Deanonymization**: Converting an anonymous session (represented only by an IP address or device fingerprint) into a named, contactable individual. - **Intent Score**: A numeric rating (typically 0–100) assigned to a visitor based on their on-site behavior indicating likelihood of purchase or conversion. - **CRM Push**: Automatically sending identified visitor data from Kopimore into a connected Customer Relationship Management system as a new contact or lead record. - **First-Party Data**: Data collected directly from your own website visitors, customers, or prospects — considered the most privacy-compliant and reliable form of data. - **Browser Fingerprinting**: A technique that collects attributes of a browser (screen resolution, fonts, plugins, timezone, etc.) to create a semi-unique identifier for a device/session. - **Probabilistic Matching**: Using statistical inference across multiple signals to make an identity match when exact identifiers are not available. - **Match Rate**: The percentage of website visitors that Kopimore is able to identify with a consumer profile. Typically 15–40% for US traffic. - **CCPA**: California Consumer Privacy Act — a state-level privacy law giving California consumers rights over how their personal data is collected and used. --- ## Contact & Links - **Website**: https://kopimore.com - **Free Trial**: https://kopimore.com/free-trial.html - **Product Tour**: https://kopimore.com/product-tour.html - **Data Sources**: https://kopimore.com/data-sources.html - **Glossary**: https://kopimore.com/glossary.html - **Integrations**: https://kopimore.com/integrations.html - **Privacy/Opt-Out**: optout@kopimore.com - **Sitemap**: https://kopimore.com/sitemap.xml - **LLMs index**: https://kopimore.com/llms.txt