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MEmob+ Stretch (cross-channel attribution, audience matching and enrichment)

door MEmob+

AI Application
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Stretch is MEmob+'s proprietary cross-channel attribution and audience-intelligence platform. A lightweight 'Stretch Tag' embedded in ad creatives records impressions and clicks on Meta, TikTok, Snapchat, Google DV360 and other channels; Stretch then matches audiences across platforms to measure duplication, incremental reach and frequency, links ad exposure to real-world visits to points of interest (including competitors' locations) using mobility data, enriches matched audiences from the 'MEmob+ Data Lake' ('3B real-world data touchpoints') with behavioral, app-usage, brand-affinity, demographic and interest attributes, and lets customers activate audiences for retargeting, suppression and lookalike modelling. Reports can include age, gender, nationality, home and work location, psychographics and technographics. MEmob+ says it uses AI and machine learning; the Stretch page itself describes probabilistic audience matching, enrichment and lookalike modelling rather than naming a model, so the 'AI' character is inferred and the terms say its models are statistical and predictive and may be inaccurate. Rated high: it tracks individuals' devices and movements at scale through pseudonymous identifiers (Mobile Advertising IDs, cookies, IP) with cross-device and household linking and location accurate to within a few meters, draws on third-party data aggregators and 'billions of device IDs' whose consent provenance is not evidenced, and infers sensitive-adjacent attributes such as nationality and home location. The vendor's privacy claims conflict with its own functionality: the Stretch page says it analyses only 'aggregated and anonymised' data and exposes no personal information, while its End User Privacy Policy describes profile creation, cross-device linking and exact location, and also says it performs no profiling; the Terms contemplate device-ID exports. Protection against sensitive-location targeting is largely contractual (customers indemnify), consent is collected by customers and publishers rather than MEmob+, and no trust center, SOC 2 or ISO 27001 was found, only vendor-cited E-Privacy Seal and IAB TCF participation. The list of data partners, the main privacy policy and the contact page could not be loaded. The rating could be lowered if the data sources and consent evidence are shown to be sound and only aggregated, non-identifiable outputs are delivered.

Bezoek website

Transparantiescore

Gewogen over vier pijlers · bijgewerkt October 22, 2026

Totaalscore
43% gewogen
ABCDF
Model
—
Nog niet beoordeeld
Infrastructuur
—
Nog niet beoordeeld

Functionaliteiten

Cross Channel Ad Attribution
Audience Duplication And Frequency Measurement
Offline Footfall Attribution
Audience Enrichment From Data Lake
Audience Activation Retargeting Suppression And Lookalikes
Competitor Visitation Analysis

Leveranciersinformatie

Volledige informatie over de leverancier/provider van deze AI-applicatie

MEmob+Bekijk alle producten →
MEmob Plus FZ-LLC(Handelsnaam: MEmob+)
Contactinformatie
www.memob.com
privacy@memob.com
+971 4 369 7573
Geregistreerd adres
Office 405, Zee Tower, Dubai Media City, P.O. Box 72184, Dubai, United Arab Emirates

Leveranciersinformatie volgens de EU AI Act

Verificatiestatus:
Unverified
(Laatst geverifieerd: October 22, 2026)
MEmob Plus FZ-LLC(Handelsnaam: MEmob+)
Office 405, Zee Tower, Dubai Media City, P.O. Box 72184, Dubai, United Arab Emirates
privacy@memob.com+971 4 369 7573
ePrivacy GmbH. Große Bleichen 21, 20354 Hamburg
Germany
Nalevingsdocumenten
CE-markering: Not Applicable
No trust center, status page, incident history or vulnerability-disclosure process was found. The End User policy offers a device-ID opt-out form and states a presence in the IAB Transparency and Consent Framework (vendor ID 1209), and the Terms give MEmob audit rights over customers' consent records.
The Terms state Company Data comes from third-party sources, its accuracy and completeness are not guaranteed, and statistical models and predictive techniques may not yield accurate results; services are provided 'as is'. The End User policy describes personalization as probabilistic and says segments may not apply to an individual. No accuracy, bias or match-rate figures are published for Stretch's audience matching, enrichment or visit attribution.

Potentiële risico's

1 aandachtspunten geïdentificeerd

1

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Deze aandachtspunten worden automatisch geïdentificeerd op basis van openbaar beschikbare informatie over de leverancier en AI-catalogusgegevens. Werkelijke risico's kunnen variëren afhankelijk van uw specifieke use case en implementatie.

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Naleving & risico

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Toegevoegd: October 22, 2026
Bijgewerkt: October 22, 2026

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