Advan Research: Initiation of Coverage

GAII Intelligence defines the Alternative Data & Data Infrastructure market as companies that supply investment firms with non-traditional evidence on company and economic performance — transaction, receipt, location, web and business-spend data — and the tools that collect, clean and deliver it. Buyers are heads of data strategy and data sourcing, fundamental and quantitative analysts, and the compliance teams who must approve each new source.

Capabilities we treat as mandatory

• Point-in-time integrity: history that can be tested without look-ahead, with restatements, panel changes and survivorship handled and disclosed.
• Provenance and screening: a documented chain from source to delivery, with consent, licensing, MNPI and personal-data screening a compliance team can review.
• Investable mapping: data resolved to tickers and entities, so that a signal can be tied to a security without manual work.

Capabilities we treat as differentiating

• Predictive-value evidence: published back tests or, better, independent studies showing that the data anticipates reported results.
• AI-ready delivery: data shares into Snowflake and Databricks, and MCP connections that let a client's AI assistant query the data under entitlement.
• Transparent AI answers: conversational tools that show the query, panel size and method behind each answer and decline unsupported questions.
• AI in the pipeline: models that find sources, map entities and repair collection, cutting the time from idea to usable dataset.

Advan competes with Placer.ai, Unacast, Veraset and Pass_by in location and foot-traffic data, and with Consumer Edge, YipitData and Facteus where its SpendView card data overlaps.

The following are the capabilities and characteristics that, in our assessment, most distinguish Advan Research within the Alternative Data & Data Infrastructure market. Each is drawn from publicly documented product capability, company releases and documentation, or independent reporting.

• History: Daily data back to 2015, long enough to test signals across several cycles, with point-in-time store openings and closings.
• Ticker coverage: More than 2,000 public companies mapped from manually geofenced locations.
• Documentation: Public, versioned data dictionaries, unusual among location-data providers.
• Independent use: Heavy use in academic and policy research, including NBER, Nature and central-bank work.
• Distribution: Available through Exabel, Dewey and Cherre as well as direct feeds.
• Flexible packaging: Dashboards plus data, or data only through Patterns+.

The following are factors that prospective clients should weigh, and areas where our public review did not find sufficient evidence to reach a settled view. Several are common across vendors at this stage of the market and are not specific to Advan. We encourage prospective clients to raise each of them directly with the company; we have done the same, and will update this note as answers arrive.

• AI: We did not locate a generative AI product or plans for one.
• AI-ready delivery: No MCP connection, Excel add-in or Snowflake delivery was located.
• Assurance: A SOC 2 badge appears on the website, but we did not locate the report type, SSO or audit-logging documentation.
• Location-data sensitivity: Opt-in and privacy-law compliance are stated; buyers should review sensitive-location exclusion and consent chains.
• Momentum: The last product release located was November 2024.
• Scale: No funding or headcount disclosed.
• Pricing: Not published; no trial located.

Advan Research Corporation is based in New York and, according to Craft, was founded in 2015 by Yiannis Tsiounis, now executive chairman. Grigorios Reppas, chief operating officer from 2017, became chief executive in February 2023. It serves hedge funds, real estate investors, corporates and public agencies.

Advan acquired SafeGraph's Patterns business in November 2022 and Real Estate Intelligence from RetailStat in November 2024. No external funding, revenue or headcount has been disclosed. It won Best Alternative Data Provider at the 2020 Inside Market Data and Inside Reference Data Awards.

Company-reported figures are shown as such and are not independently verified. Verification is carried into the vendor questionnaire.

Advan sells six products that pair a dashboard with a dataset, or the dataset alone. Figure 2 sets out our assessment of how it maps onto the alternative data workflow.

FiT

Foot-traffic intelligence for public companies, with ticker-level metrics.

REI and REveal

Property-level traffic, trade-area and spend analysis for real estate.

SpendView

Consumer spend signals from card transactions.

Patterns+ and REPerspectives

High-fidelity foot-traffic dataset; migration and demographic trends.

Scope of the product today

We did not locate a generative AI product, MCP or Excel delivery, Snowflake delivery or a published predictive-value study.

Advan's technology is in panel processing: attributing device visits to manually geofenced points of interest at scale. It released machine-learning revenue forecasts, AlphaLoc, in 2018.

We did not locate a generative AI product, and no evaluation of its forecasts has been published.

Advan combines opted-in device data, card transactions and nine million-plus points of interest into daily, ticker-mapped metrics with history from 2015.

Documentation is a strength: data dictionaries are public and versioned. Sensitive-location handling is not documented.

Advan fits quant and fundamental teams who want to test foot traffic against reported results: long history, ticker mapping and partner distribution.

It has no AI-assistant delivery, and alerting is not documented.

Advan shows a SOC 2 badge on its website; we did not locate the report type, SSO, audit logging or data-governance terms. Figure 3 sets out what our public review located.

We would encourage buyers to request the SOC 2 report, the consent chain for device data and sensitive-location exclusions.

The offsetting factor is a long operating record and two acquisitions without disclosed outside funding.

Advan does not publish pricing. Products are sold with or without a dashboard, and academic access is available through Dewey.

Buyers should ask for pricing on the dataset-only option.

Advan sits in the Emerging quadrant of the segment matrix, lowest on both axes among the five companies we cover, despite Data & Content level with the segment leader.

GAII Alternative Data & Data Infrastructure coverage, 21 October 2026, scored on the segment variant of Data & Content and Workflow Fit; not directly comparable with Research & Intelligence or Risk, Compliance & Surveillance scores.

11.1 Where Advan is strongest relative to peers

• Against newer location vendors, on history depth.
• Against peers, on public documentation.
• Against larger vendors, on dataset-only packaging.

11.2 Areas of narrower functional focus

Advan is a strong dataset with little built on top of it.

• AI: no product located.
• Delivery: no MCP, Excel or Snowflake.
• Assurance: badge only.
• Momentum: no release since 2024.

Scores are on a 0–10 scale. Each dimension score is the mean of its sub-criteria, and the GAII Overall Score is the weighted mean of the six dimensions. The detailed sub-criteria scores that build each dimension are set out in Appendix A.

These are the areas where our public review did not find sufficient evidence to form a settled view. We have put them to the company and will update this note when they are answered. Prospective clients may find them a useful agenda for their own evaluation call.

• AI product plans.
• MCP, Excel or Snowflake delivery.
• SOC 2 report type and period.
• SSO/SAML and audit logging.
• Device-data consent chain.
• Sensitive-location exclusions.
• Panel-change normalisation.
• Predictive-value evidence.
• Headcount and capacity.
• Funding and ownership.
• Pricing and trial terms.
• Quantified client references.

This note is an assessment of a vendor against a defined framework, not a recommendation to buy or to decline. The following are the considerations we would put at the centre of an evaluation of Advan specifically.

If you run research or data sourcing

• Back-test foot traffic against reported sales.
• Use dataset-only delivery if you have a data team.
• Check panel normalisation over time.

If you are responsible for technology, compliance or vendor risk

• Open with Figure 3; request the SOC 2 report.
• Review the device-data consent chain.
• Plan your own AI access layer.

If you are assessing the category rather than the company

• Location data is consolidating.
• AI layers are moving to the data owner.
• Regulators scrutinise location data.

Each dimension score in Section 12 is the mean of the sub-criteria below. Data & Content and Investment Workflow Fit use the Alternative Data & Data Infrastructure segment variant.