Learn about MindSift, its audience intelligence and data platform, consumer and B2B databases, Visitor ID, Buyer Intent, OutReach Mining, advertising services, Active Listening controversy and 2026 FTC order.
Learn about MindSift, its audience intelligence and data platform, consumer and B2B databases, Visitor ID, Buyer Intent, OutReach Mining, advertising services, Active Listening controversy and 2026 FTC order.
MindSift is a data and marketing technology company that describes its platform as a unified system for identity resolution, consumer and business data, audience building, buyer intent and data activation.
Its current website positions MindSift as a platform for modern marketers, sales teams, media buyers and business owners. The company says its platform contains more than 280 million consumer profiles and 120 million business contacts, while offering tools for identifying website visitors, building audiences, enriching CRM records, analyzing purchase intent and activating data across marketing channels.
MindSift’s current platform includes products and capabilities such as Website Visitor ID, Consumer Data, Business Intelligence, Audience Builder, Buyer Intent, Offline Activation and OutReach Mining.
The company is also the subject of an important recent regulatory proceeding.
In August 2026, the Federal Trade Commission finalized an order against MindSift LLC relating to a former marketing service called “Active Listening.” According to the FTC’s final complaint and order, MindSift had marketed the service as using voice data from smart devices to identify potential buyers and support geographically targeted advertising. The FTC alleged that these representations were deceptive because the service did not actually collect or use voice data as represented.
The final FTC order requires MindSift to pay $25,000 and prohibits specified misrepresentations concerning advertising and marketing services, voice-data collection and use, consumer consent to voice-data collection or use, and geographic targeting capabilities.
This regulatory history is important when evaluating MindSift, particularly because the company’s current website emphasizes data-driven audience intelligence and marketing activation.
At the same time, the former Active Listening product should not automatically be treated as identical to MindSift’s current product lineup. The current website promotes a broader platform centered on consumer data, B2B intelligence, identity resolution, intent signals, CRM enrichment and audience activation.
MindSift LLC is a New Hampshire limited liability company involved in marketing and data services.
The FTC identifies MindSift’s principal office as 142 Main Street, Suite 405, Nashua, New Hampshire 03060. The FTC describes MindSift as a provider of marketing and data-brokering services.
Third-party business information describes MindSift as operating in areas including:
MindSift’s own website presents the company somewhat differently, emphasizing its platform rather than simply describing itself as a data broker.
Its current positioning is centered on bringing together three major functions:
Data + Identity + Activation
The basic concept is to allow a marketer to identify potential customers, understand their characteristics or intent, build an audience and then activate that audience through advertising, sales or other marketing channels.
The current MindSift website presents its platform as an integrated marketing-data environment.
The company says users can:
MindSift currently highlights 280M+ consumer profiles, 120M+ business contacts and 60K+ intent categories. It also advertises a 99.9% uptime SLA. These are claims presented by MindSift on its own website and should therefore be understood as company-stated platform figures rather than independently audited measurements.
One of MindSift’s largest advertised assets is its consumer-data database.
The company’s website says its platform contains more than 280 million U.S. consumer profiles. MindSift says those profiles contain more than 400 demographic, behavioral and intent attributes.
The purpose of this information is to help marketers build more detailed audiences.
Depending on the application, a marketer could potentially define an audience according to combinations of characteristics such as:
MindSift’s website provides examples of audience construction involving factors such as homeownership, income and age.
The company’s homepage also illustrates a sample audience called “Direct Mail – Homeowners,” with filters for homeowners, income above $100,000 and age between 30 and 55.
These examples demonstrate the basic purpose of the platform: moving away from broad advertising audiences toward more specifically defined consumer groups.
MindSift also operates a B2B data component.
The company says its platform contains more than 120 million verified B2B contacts.
MindSift describes its business intelligence data as including:
This portion of the platform is aimed more directly at sales and B2B marketing teams.
For example, a company selling enterprise software could potentially use B2B filters to identify organizations based on employee size, technology environment, industry or executive position.
MindSift’s homepage illustrates an “Enterprise Decision Makers” audience using filters for VP-level titles, companies with more than 500 employees and Salesforce technology.
One of MindSift’s most prominent current products is Website Visitor ID.
The company describes this capability as a way to identify previously anonymous website traffic.
MindSift says the product can provide names, email addresses and firmographic information without requiring a visitor to complete a form.
The website advertises a 70% match rate.
This is a company-stated performance claim and is not presented here as an independently verified industry benchmark.
Traditional web analytics can tell a business that an unidentified visitor reached a particular webpage.
For example, analytics might reveal:
Someone visited the pricing page three times in the past 30 days.
That information can be useful, but it does not necessarily tell a sales team who the visitor is.
Identity-resolution technology attempts to connect anonymous digital activity with a known individual or organization.
If successful, a marketing or sales team may be able to turn an otherwise anonymous website interaction into an identifiable prospect record.
MindSift positions its Visitor ID product around exactly this concept.
Visitor identification can be particularly valuable for B2B businesses.
A company may receive significant traffic to its:
Only a small portion of those visitors may complete a form.
The rest remain anonymous.
Identity-resolution tools attempt to provide additional information about those visitors.
That can potentially allow a sales team to prioritize accounts or individuals that demonstrate meaningful interest before they formally submit a lead.
MindSift also provides an Audience Builder.
The purpose of the Audience Builder is to allow marketers to combine different data attributes into specific audience segments.
MindSift says users can create hyper-targeted audiences using attributes available within the platform and export those audiences to marketing platforms.
The company advertises more than 60,000 segments or intent categories, depending on the product context.
Audience construction can involve combinations of:
This approach can be useful for businesses that want to define an ideal customer profile rather than purchase generic advertising audiences.
Buyer intent is another central part of MindSift’s current product strategy.
The company says it offers more than 40,000 intent categories with daily signal refreshes.
The underlying concept is simple:
A prospect who is actively researching a product or service may be more commercially valuable than someone who merely fits a demographic profile. Intent data attempts to identify those signals.
For example, someone researching:
could potentially be placed into an audience associated with that category.
MindSift’s positioning is based on using these intent signals to identify people or organizations that may be moving closer to a purchasing decision.
There is an important distinction between demographic targeting and intent targeting.
Demographic targeting asks:
Who is this person?
Intent targeting asks:
What might this person currently be interested in purchasing?
Combining those categories can produce a more specific marketing audience.
That combination is central to the value proposition MindSift presents on its current website.
MindSift’s newest prominently promoted product is OutReach Mining.
The company describes it as a real-time intent and CRM-enrichment system.
Its stated purpose is to send live intent signals into a company’s CRM so sales teams can identify when an account begins researching relevant products or services.
MindSift advertises:
The company says OutReach Mining works with Salesforce, HubSpot, Go High Level and more than 200 other tools.
The basic workflow is:
Detect signal → enrich account → assess buying stage → trigger action
For example, if an organization begins showing signals associated with a particular product category, the system could potentially:
MindSift says its system can trigger Slack alerts, sequence enrollments and advertising bid adjustments based on detected signals.
CRM enrichment is another important function.
Many companies maintain customer relationship management databases containing names, companies, emails and sales information.
Over time, that information becomes outdated.
People change jobs.
Companies change locations.
Technologies change.
Business priorities change.
A data-enrichment system attempts to keep those records current.
MindSift says its OutReach Mining system can continuously enrich CRM contacts with updated firmographic and intent data.
MindSift’s current OutReach Mining page identifies integrations with:
The purpose of these integrations is to make the data useful within existing sales and marketing workflows rather than forcing users to operate an entirely separate system.
Integration is particularly important for enterprise marketing because data becomes much more valuable when it can move directly into the systems where salespeople and marketers already work.
MindSift also promotes Offline Activation.
The company says digital intent signals can be used to trigger physical marketing such as:
MindSift advertises delivery within approximately 48 hours for this capability.
This is notable because most modern marketing technology is heavily digital. MindSift’s model attempts to connect online signals with offline marketing.
For example, a prospect demonstrating relevant online interest could potentially become part of a direct-mail campaign.
The concept of activation is central to MindSift’s platform.
Collecting data is only one part of marketing.
The next question is what a business does with that information.
MindSift describes its platform as enabling businesses to:
Identify → Segment → Enrich → Activate
The activation stage can involve advertising, direct mail, sales outreach or CRM-based workflows.
This makes MindSift more than a static database.
Its stated objective is to make data actionable.
MindSift specifically markets its platform toward several categories of users.
These include:
Marketing teams can use audience data, intent information and visitor identification to develop targeted campaigns.
Sales organizations can use B2B contacts, intent signals and CRM enrichment to identify prospects and prioritize outreach.
Media buyers can use audience segments for targeted advertising campaigns.
Smaller businesses can potentially use the platform to identify prospective customers without building an internal data infrastructure.
Marketing agencies can use audience and activation tools as part of client campaigns.
MindSift’s B2B data capabilities can potentially support account-based marketing.
An ABM campaign might begin with criteria such as:
A business can then identify organizations matching those characteristics.
Intent data can subsequently help identify which accounts may currently be researching relevant products.
The sales team can then prioritize those accounts.
The consumer side of the platform has a different use case.
A consumer marketer may want to create audiences according to combinations of:
MindSift’s advertised consumer database is designed to support this type of segmentation.
The company’s regulatory history makes its data-brokerage function particularly important to understand.
The FTC describes MindSift as providing marketing and data-brokering services.
Data brokers generally operate by collecting, organizing, analyzing or providing information about individuals or businesses for commercial purposes.
That does not automatically mean that every data practice is unlawful.
However, data-brokerage businesses operate in an area where transparency, accuracy, consent and representations about how data is collected can become significant regulatory issues.
The FTC’s 2026 action demonstrates exactly why representations concerning data sourcing and capabilities matter.
The most consequential publicly documented issue involving MindSift is its former Active Listening service.
The service was marketed during 2023 through mid-2024.
According to the FTC’s final complaint, MindSift worked with 1010 Digital Works LLC and provided Active Listening directly to small businesses as well as on a white-label basis to Cox Media Group (CMG) for resale to CMG’s small-business customers.
The product was represented as a marketing technology capable of identifying potential buyers based on conversations occurring near smart devices.
The FTC alleged that MindSift’s marketing representations claimed the technology could use voice-related information to identify prospective customers and support local advertising.
The FTC’s final complaint describes representations made between 2023 and mid-2024.
According to the complaint, MindSift claimed that Active Listening:
The FTC complaint also states that MindSift provided language for CMG to use when marketing the service and encouraged customers to ask where they wanted the system to “listen.”
These are allegations and findings contained in the FTC proceeding concerning the former service. They should not be treated as descriptions of every product MindSift currently offers.
According to the FTC’s allegations, the Active Listening service did not actually collect or use voice data as represented.
The FTC said that the product’s purported voice-data capabilities and claims about consumer consent were misleading.
The agency also alleged that the service did not provide the precise geographic targeting capabilities that had been represented to customers.
The final order addresses these specific areas.
The FTC first announced the proposed action in May 2026.
After the public-comment process, the FTC finalized its order on August 27, 2026.
The agency announced that three companies involved in the Active Listening marketing service would pay a combined $930,000.
The three respondents were:
The FTC’s final action assigns $25,000 to MindSift under its order.
The final MindSift order prohibits the company and covered persons acting on its behalf from making misrepresentations in connection with advertising and marketing services concerning:
These restrictions are expressly stated in the FTC’s final Decision and Order.
This is significant because the order does not simply concern one historical advertising slogan.
It creates ongoing compliance obligations concerning future representations in these areas.
Under the final FTC order, MindSift must pay $25,000 to the Federal Trade Commission.
The order states that the payment must be made within eight days of the effective date under the FTC’s specified procedures.
The order also contains provisions concerning potential redress and the administration of funds.
Another significant feature of the order is its duration.
The FTC order imposes acknowledgment, reporting, recordkeeping and compliance-monitoring obligations extending for 20 years after issuance, subject to the terms of the order.
MindSift must also maintain specified records and make certain information available to the FTC when requested.
The order requires the company to retain records relating to advertising representations, evidence relied upon for those representations, complaints and compliance materials.
The final order explains that MindSift did not admit or deny the allegations, except for specified jurisdictional facts, as part of the consent process.
This distinction is important.
The FTC’s final order resolves the proceeding and imposes legally binding obligations, but the order itself states that the respondent did not admit or deny the allegations except as specifically provided.
Therefore, the most precise description is that the FTC finalized an administrative consent order resolving allegations concerning MindSift’s Active Listening marketing representations.
The FTC’s case is unusual because the answer to this question is different from what the marketing materials allegedly suggested.
The FTC’s final complaint says that the Active Listening service did not actually collect or use voice data as represented.
The issue was therefore not that the FTC proved that MindSift secretly listened to millions of people’s private conversations.
Rather, the regulatory action concerned representations that the service used voice data and had the ability to identify customers through conversations near smart devices when, according to the FTC, it did not actually operate that way.
This distinction is critical for accurate reporting.
MindSift’s Active Listening controversy also involved Cox Media Group.
According to the FTC, MindSift provided the service to CMG on a white-label basis, meaning CMG could offer the service to its own small-business customers under its own marketing relationship.
The FTC finalized a separate order concerning CMG.
The three companies were therefore addressed in separate administrative proceedings connected to the same general marketing service.
The FTC also identified 1010 Digital Works LLC as a company working with MindSift in connection with Active Listening.
The FTC’s complaint states that MindSift worked with 1010 Digital Works and its sole member, Dmitriy Shteynbuk, in offering and marketing the service.
The FTC finalized a separate order involving 1010 Digital Works as part of the same broader action.
It is important not to collapse the former Active Listening service and the current MindSift platform into one product.
The current MindSift website prominently advertises:
The site does not present Active Listening as a current flagship product. Instead, the current platform is marketed around data, identity, intent and activation.
That said, the FTC order remains part of the company’s current public regulatory history and imposes ongoing restrictions concerning representations about marketing services, voice data, consent and geographic targeting.
The current OutReach Mining product reflects a very different technological proposition from Active Listening.
Rather than claiming to derive marketing signals from conversations captured by smart devices, MindSift currently describes OutReach Mining as a system for monitoring digital intent signals and sending them into CRM systems.
The company says the product can detect when an account starts researching a relevant subject and use that information to trigger sales or advertising actions.
This distinction matters when evaluating the company’s current website.
The current platform can essentially be understood through six major components.
Identify people, companies and website visitors.
Access consumer and B2B records.
Determine which individuals or organizations may be researching particular products or services.
Combine available attributes into targeted segments.
Add additional information to CRM and prospect records.
Move those audiences or signals into advertising, sales and offline marketing workflows.
This integrated approach is the central value proposition of the current MindSift website.
MindSift’s positioning indicates that it is designed for businesses that require more sophisticated customer identification and targeting.
Potential use cases include:
The company explicitly markets itself toward marketers, sales teams, media buyers and business owners.
The current website advertises a 14-day free trial.
MindSift states that:
The site also provides a “Get Started” option and a “Book a Demo” option.
The public homepage does not provide a complete conventional price table, so prospective customers may need to interact with the company’s sales or onboarding process to determine the applicable commercial terms.
The current MindSift website links to dedicated Privacy, Terms and Security pages.
These links are part of the site’s footer and form part of the company’s current legal and operational documentation.
For businesses considering using a large consumer or B2B data platform, these documents are particularly important.
Potential customers should review:
The exact obligations depend on the applicable MindSift product and the customer’s use case.
The FTC proceeding demonstrates why compliance matters for a company operating in the marketing-data industry.
Marketing technology companies make claims not only about their software but also about:
Those claims can directly influence a customer’s decision to purchase a service.
The FTC’s MindSift order specifically addresses this problem by restricting misrepresentations in several of those areas.
For a prospective customer, the regulatory history raises a practical question:
Can the company substantiate its marketing claims?
That question is relevant to any marketing-data provider.
A customer considering a data product may want documentation showing:
The FTC order makes substantiation particularly relevant to MindSift’s future marketing representations.
MindSift operates in a highly competitive data and marketing technology market.
Other companies in the broader ecosystem offer products involving:
MindSift’s differentiation is its attempt to bring these functions together in a single platform.
The company calls this “unified activation.”
Identity resolution is the process of connecting information from different sources to a particular individual, household, account or organization.
For example, separate records might contain:
Identity-resolution technology attempts to determine whether those records relate to the same entity.
This technology can be useful for marketing but also raises important privacy considerations.
The more information that can be connected to a person, the more important the company’s data governance and legal compliance become.
Audience intelligence generally refers to the collection and analysis of information about potential customers.
Rather than simply knowing that an audience contains 100,000 people, marketers may want to understand:
MindSift’s current platform is designed around this broader concept.
Based on the functionality MindSift currently advertises, the platform can potentially help organizations:
These are product capabilities and potential use cases, not guarantees of business results.
Businesses evaluating MindSift should go beyond the headline database numbers.
They may want to ask:
Understanding the origin of consumer and business information is important.
Freshness can directly affect lead quality.
A high-level match-rate claim does not necessarily explain how matching works in a particular industry or use case.
“Intent” can mean different things depending on the provider.
The FTC order specifically makes geographic-targeting representations a compliance issue for MindSift’s future marketing.
Customers should determine whether their intended use is compatible with applicable privacy and marketing laws.
Businesses should understand correction, suppression and dispute mechanisms.
Data platforms can impose restrictions on how exported information may be used.
The most accurate way to understand MindSift in 2026 is to look at both sides.
On one side is the company’s current technology proposition:
280M+ consumer profiles
120M+ business contacts
Visitor identification
Audience building
Buyer intent
CRM enrichment
OutReach Mining
Offline activation
On the other side is the company’s documented regulatory history involving the former Active Listening service.
The two should not be confused.
The FTC proceeding concerns a specific service and representations made during 2023 through mid-2024.
The current MindSift website promotes a broader platform with different products and positioning.
Nevertheless, the final FTC order is relevant because it places continuing restrictions on certain future marketing representations by MindSift.
MindSift is a marketing and data technology company offering audience intelligence, consumer and B2B data, identity resolution, buyer intent, CRM enrichment and data activation services.
MindSift’s current platform helps marketers and sales teams build audiences, identify website visitors, enrich CRM records, analyze intent and activate data across marketing channels.
MindSift’s website currently claims more than 280 million consumer profiles and more than 120 million business contacts.
Visitor ID is MindSift’s website visitor identification product. The company says it can identify previously anonymous website traffic and provide names, emails and firmographic information without requiring a form.
Buyer Intent is a MindSift capability designed to identify signals associated with people or businesses researching products or services. The company advertises more than 40,000 intent categories.
OutReach Mining is MindSift’s current product for sending live intent signals and CRM-enrichment information into sales systems. MindSift says it can provide real-time signals, buying-stage scoring and automated actions.
MindSift’s OutReach Mining page says the product works with Salesforce, HubSpot, Go High Level and more than 200 tools.
Yes. MindSift currently advertises a 14-day free trial and says no credit card is required.
The FTC describes MindSift as providing marketing and data-brokering services. Its current platform also offers consumer and business data products.
Active Listening was a marketing service offered during 2023 through mid-2024 that was marketed as using voice-related information from smart devices to identify potential customers and support targeted advertising.
Yes. The FTC finalized an administrative order against MindSift on August 27, 2026, concerning allegations related to representations about the former Active Listening service.
The final FTC order requires MindSift to pay $25,000.
The final consent order states that MindSift neither admitted nor denied the allegations, except as specifically provided in the order, including jurisdictional facts.
The order prohibits specified misrepresentations concerning advertising and marketing services, voice-data collection and use, consumer consent regarding voice data, and geographic targeting capabilities.
No. The FTC proceeding concerned the former Active Listening marketing service and allegations about how that service was represented. The FTC’s final complaint states that the service did not collect or use voice data as represented.
Yes. The final order imposes ongoing restrictions and compliance obligations, including recordkeeping, reporting and monitoring requirements extending for 20 years under the order’s terms.
MindSift occupies an interesting position within the modern marketing-data industry.
Its current website presents a comprehensive data platform designed to combine consumer intelligence, B2B data, identity resolution, buyer intent, audience construction, CRM enrichment and marketing activation.
The scale advertised by the company is substantial, with more than 280 million consumer profiles, 120 million business contacts and tens of thousands of intent categories.
Its current product lineup includes Website Visitor ID, Audience Builder, Buyer Intent, Consumer Data, Business Intelligence, Offline Activation and OutReach Mining.
The company’s broader objective is to turn large quantities of consumer and business information into actionable marketing signals.
At the same time, MindSift has a significant regulatory issue in its public record.
The FTC’s 2026 proceeding concerned the company’s former Active Listening service, which was marketed as using voice-related information from smart devices to identify potential customers. The FTC alleged that the representations were deceptive because the service did not actually collect or use voice data as represented and did not provide the geographic targeting capabilities represented to customers.
On August 27, 2026, the FTC finalized its order against MindSift. The order requires a $25,000 payment and prohibits specified misrepresentations concerning marketing services, voice data, consumer consent and geographic targeting. It also imposes extensive compliance, recordkeeping and monitoring obligations.
That history should be considered alongside, rather than confused with, MindSift’s current platform.
The company now prominently markets a data and identity platform built around audience intelligence, website visitor identification, B2B and consumer data, intent signals, CRM enrichment and activation.
For businesses evaluating MindSift, the most important questions are therefore not simply how large its databases are.
They include where the data comes from, how identity matching works, how intent is determined, how accurate the information is, what privacy restrictions apply, how geographic targeting is measured, and what evidence supports the platform’s performance claims.
The FTC’s action makes those questions particularly relevant.
MindSift’s current platform may represent a substantially broader data and marketing offering than its former Active Listening product, but its regulatory history provides an important reason for customers and researchers to examine the company’s data claims and marketing representations carefully.
This article relies primarily on MindSift’s current website and the Federal Trade Commission’s official complaint, final Decision and Order, case materials and August 2026 announcement.
The article distinguishes between:
MindSift’s current product figures, match rates, intent-category counts, database sizes and integration claims are presented as company-stated information unless otherwise indicated.
The Active Listening discussion is based primarily on the FTC’s official administrative record.
This article is provided for informational and research purposes only. It is not legal, financial, privacy, compliance or investment advice.
Product specifications, database sizes, pricing, integrations, company information and marketing claims can change over time. Readers should verify current information directly with MindSift and consult the applicable privacy policies, terms, contracts and regulatory materials before relying on the platform for commercial or compliance-sensitive purposes.
The discussion of the FTC proceeding is based on publicly available government records and should not be interpreted as an independent legal conclusion beyond what those records establish.
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