Mobiquity Networks

From AltData.wiki, The Alternative Data Encyclopedia

Mobiquity Networks is a digital-marketing and audience-intelligence business that combines device and household graphs, place visitation, third-party audience data, and customer relationship management inputs for advertising and campaign measurement. It describes itself as a Mobiquity Technologies company.[1]

The company reports a knowledge graph containing more than 240 million individual profiles, 120 million households, and six million points of interest.[1] Those figures are first-party estimates and do not mean that Mobiquity directly identifies the same number of named people or observes every visit made by them.

What It Does

Mobiquity Networks builds advertising audiences and attempts to reach them across devices and media. HomeGraph is described as an artificial-intelligence-assisted device graph that expands an audience across associated devices, while TravelGraph applies location-based machine-learning models to points of interest visited by devices to create behavioral and interest segments.[1][2]

The company calls the combination of device, household, visitation, external, and CRM information its Audience Data Cube. This is used for audience construction, media activation, business analytics, and conversion measurement. The place-visitation component relates to foot traffic, but the broader service is an advertising data and execution stack rather than a neutral venue-counting product.

Data And Methodology

The public site does not disclose enough information to reproduce device associations, point-of-interest visits, audience segments, or conversion estimates.[1] Important unresolved variables include source applications and permissions, identifier refresh, household-linking rules, geofence quality, visit thresholds, panel bias, location precision, and the proportion of profiles that can be activated on a given media channel.

HomeGraph and TravelGraph outputs are modeled relationships. A device-household association is not necessarily a verified person-household relationship, and a geolocation observation within a place boundary does not always represent a customer visit. Buyers should request match-rate distributions, false-positive testing, temporal stability, and independent validation rather than relying only on top-line graph size.

Products

Named products on the Mobiquity Networks site include HomeGraph, TravelGraph, Audience Buildr, ElecTech, and Conversions.[1] Audience Buildr is positioned as access to the data platform, while Conversions is associated with campaign outcome measurement. Public pages do not provide standard prices, data schemas, API documentation, or retention periods.

Mobiquity also states that it owns and manages a programmatic advertising stack. Advangelists is described as a media-buying platform used by agencies and brands, and AdCop as integrated fraud-protection and brand-safety controls. The stack supports advertising exchanges, private marketplaces, display, video, and digital out-of-home formats.[1]

Buyers And Use Cases

The stated customers are brands, advertising agencies, and marketing teams seeking audience definition, cross-device reach, programmatic buying, and attribution.[1] Location-based segments can be used to infer interests from places visited, find similar audiences, suppress existing customers, or compare exposed devices with later observed visits.

These applications are marketing measurements, not audited sales or universal footfall counts. Incrementality requires a credible control design, and conversion reporting requires transparent attribution windows and match rates. The reviewed site does not publish independent campaign-level validation.

Privacy And Data Governance

Mobiquity Networks provides links for privacy, opting out, and California residents.[3] Its audience model potentially involves location, device, household, CRM, and third-party data, so buyers should establish which party is controller or service provider, how notice and choice are supplied, and how deletion or opt-out requests propagate through graphs and advertising partners.

Due diligence should also address sensitive-location exclusions, use of precise geolocation, data minimization, cross-device inferences, retention, security, and restrictions on targeting protected or vulnerable groups. A privacy link demonstrates a consumer-choice channel but does not independently verify source-level consent or compliance for every record.

Corporate Context And Evidence

The corporate website identifies Mobiquity Networks as part of Mobiquity Technologies and links to the parent organization.[1] The reviewed official materials do not state the date or terms of that relationship, and no such chronology is asserted here.

A Nasdaq market page for the symbol MOBQ was also consulted, but it returned a generic market-activity page without company-specific data during this review.[4] The attempted SEC entity lookup likewise did not produce an identifiable filing record, so this article does not infer listing status, revenue, financing, or corporate history from those unsuccessful results. Product descriptions and scale figures should therefore be understood as company-supplied unless explicitly stated otherwise.

Datasets from Mobiquity Networks (1)