Our identity graph data can help brands attach identities to their existing first party data in a safe and privacy compliant manner, resulting in the ability to reach users across new platforms and channels.
Our identity dataset users can deliver their customer IDs to be matched by our platform and get identities for other platforms and devices in return, thus enabling new channels for communication. We utilize multiple data points to deterministic or probabilistic match a user to an identity.
Identity Data Reach: Our data reach comprises the total number of device data linked to hashed email data of first-party data owners. Using our identity graph, we attach IPs, device ids, and identities for other platforms and devices in return, thus enabling new channels for communication.
Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method as and when required.
Identity Graph Use Cases: Identity Resolution: Create unified and coordinated client profiles (B2B/B2C) to obtain comprehensive insights and tailor cross-channel customer interactions. Data Enrichment: Leverage first-party data to identify linkages in order to build holistic audience segments via data enrichment techniques to improve campaign targeting.
Data Attributes: anonymous id id_type ipv4 email_sha1 email_sha2 email_md5 timestamp country
To verify your identity before sending out any data, we will need you to provide your company email address and company phone number. Please provide this in the use case section of the verification step once you hit the subscribe button.
You can find out more about how we protect and process your data by visiting our privacy policy (https://www.factori.ai/privacy-policy) We will not share your details with third parties.
Factori is a compliant, flexible, and adaptable data provider. We help you make smarter decisions, fill all the gaps in your data, uncover patterns, gain a competitive advantage, and build better solutions by bringing accurate, holistic, privacy-compliant global consumer data. We specialize in building the world’s largest consumer graph that ingests, de-dupes, and transforms premium data of over 2.3 billion anonymous customer profiles with 800+ attributes, which powers insights for smarter decision-making and building adequate solutions. We take privacy and personal information very seriously and are committed to adhering to all applicable data privacy and security laws and regulations, including the GDPR, CCPA, and ISO 27001.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single contract-based pricing dimension: Product Access (Units). You buy units that grant access to the identity graph data product for the length of your contract term. Pricing scales with the number of units you commit to, rather than by feature tier or instance size. There are no separate plans or add-ons on Marketplace. Access covers the privacy-first identity graph that links offline identifiers to digital IDs for audience activation, resolution, and measurement. To match units to your data volume or use case, contact the vendor.
Top-of-mind questions for buyers
What does one unit of Product Access represent for this identity graph data?
A unit is the access measure that grants you use of the identity graph data product during your contract term. It does not map to a fixed row count, user seat, or server. To match units to your expected data volume or use case, contact the vendor.
How does my cost change if my data volume or number of use cases grows?
Cost scales with the number of units you commit to, not with feature tiers or instance sizes. Growing your data volume or adding use cases like activation, resolution, and measurement may require more units. Any change to your committed units is arranged with the vendor.
How can I test the data before committing to units on Marketplace?
The vendor offers ways to validate fit before scaling: a free 100-row sample file, a natural-language query option through an AI client connection, and a discovery call to check a specific use case. Start with a consented first-party data slice to test match quality, then scale.
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