Alternative data providers: buyer guide (October 2026)

The short answer

Pick by the question, then by the panel behind the answer.

If you need to read a consumer company's sales before it reports, buy a transaction panel such as Consumer Edge or Bloomberg Second Measure, and test its history against reported revenue. If your team has no data scientists, buy from a research-led provider such as YipitData or M Science, which pairs data with analysts who interpret it. If the question is about hiring, headcount or talent flows, buy workforce data such as Revelio Labs or LinkUp. If you do not yet know which datasets exist for your question, start with a discovery platform such as Eagle Alpha or Neudata before you sign with any data seller.

Why alternative data providers matter

Alternative data shows what a company's customers, employees and websites are doing before the company reports it. A strategy team can see a rival's card spend slow in a region mid-quarter. A corporate development team can check whether a target's claimed growth shows up in receipts and job postings. YipitData pitches exactly this to investment banks: validating targets and stress-testing assumptions before and after a deal.

The risk is a confident number from a biased sample. A card panel sees only the cardholders in it. A job-posting feed counts openings, not hires. Teams that skip the panel questions build forecasts on a slice of customers that may not look like the market. Teams that ask how the panel was built, and how its history tracked reported figures, get an early read they can defend.

Who buys it

Hedge funds and asset managers are the core buyers; most providers built their products for them. Private equity, venture capital and investment banks buy for diligence and portfolio monitoring. Corporate strategy, corporate development and category teams at consumer and retail companies buy to benchmark against competitors. Consumer Edge and YipitData both sell to corporations as well as investors. Triggers: an acquisition screen, a market-share dispute, a planning cycle, or a competitor whose quarterly reports arrive too late to act on.

Before you buy: what teams do without one

Without a provider, teams build signals themselves. Analysts track public filings, earnings calls, store counts, app rankings and job boards by hand. Some build web scrapers, which need upkeep and a legal review. Others commission surveys or buy syndicated research reports, which arrive months later.

Buying pays when the question needs a large panel no team could collect, such as card transactions or medical claims, or when the signal must arrive weekly instead of quarterly. It also pays when compliance matters. A provider that documents how data was collected and stripped of personal information carries risk your team would otherwise hold.

What good looks like

Capability	What good looks like	Why it matters
Panel transparency	Panel size, source, geography and demographic mix are disclosed per dataset, and changes to the panel are logged.	A panel that skews young, urban or to one card issuer misreads companies whose customers are different.
Correlation to reported results	Published backtests showing how the data tracked each company's reported revenue or KPIs, by quarter.	It shows which companies a dataset reads well and which it does not.
Latency	Data available days after the activity, not weeks. Bloomberg Second Measure offers 2-, 3- and 7-day lags from card swipe.	An early read loses value with each week it lags the quarter.
History	Several years of consistent history, stored point in time, so past values do not change after the fact.	Backtests and seasonality need years of data that were not revised after the fact.
Entity mapping	Merchants, brands, employers and websites mapped to tickers, parents and subsidiaries.	Unmapped data means analysts spend weeks matching card descriptors to companies.
Delivery options	Dashboards for analysts plus API, S3, Snowflake or Delta Share feeds and an MCP server for AI tools.	Strategy teams read dashboards; quant and data teams need raw feeds in their warehouse.
Compliance documentation	Written answers on consent, personal data removal, and controls against material non-public information.	Your legal team will ask, and an investor's compliance team must sign off before data is used.

How alternative data providers are built, and who sells each kind

Vendors in this category can take a labeled Spotlight slot on this guide. How Spotlight works

Transaction panels

Aggregate anonymized card, receipt or claims data from millions of accounts and map it to merchants, brands and tickers. Delivered as dashboards and data feeds.

Fits: Teams that need early reads of consumer company sales, market share and customer behavior.

Consumer EdgeInvestors and consumer brands that need global card spend and, since buying Earnest Analytics in 2025, medical claims data.
Bloomberg Second MeasureInvestors who want daily US card transaction analytics inside the Bloomberg Terminal or as data feeds.

Research-led multi-source providers

Combine several datasets, from panels to web data, and add analysts who publish company-level reads and answer client questions.

Fits: Teams that want conclusions and analyst access, not only raw data.

YipitDataInvestors, deal teams and corporate strategy teams that want spend data from 40+ sources with analysis on top.
M ScienceFunds and corporations that want analyst-curated feeds on 1,400+ companies; it is a subsidiary of Jefferies.

Workforce and web data

Collect public job postings, employee profiles and other web records, then standardize them into company-level series.

Fits: Teams tracking hiring, headcount, skills and talent moves at competitors or targets.

Revelio LabsTeams that need headcount, hiring and talent flows by role and company, from public employment records.
LinkUpTeams that want job openings indexed from employer websites; GlobalData bought LinkUp in 2024.

Discovery platforms

Catalog thousands of datasets from many vendors, help buyers search and assess them, and introduce buyers to sellers.

Fits: Teams starting an alternative data program or scouting data for one question.

Eagle AlphaData buyers who want to search and compare 2,500+ alternative data products before choosing a vendor.
NeudataBuyers scouting datasets for a program or a deal, with a catalog of 7,000+ datasets.

How to choose

Who is in the panel

Ask for panel size, sources and demographic mix in your markets. A dataset can track one company closely and miss another whose customers differ.

Proof against reported numbers

Ask for backtests against the reported revenue or KPIs of the companies you care about, not a vendor-chosen sample.

Data or data plus analysts

Raw feeds suit teams with data scientists. Research-led providers add analysts and written reads, which cost more but save build time.

Coverage of your companies

Coverage is often counted in tickers, brands or merchants. Check your named competitors and private targets one by one.

Compliance and provenance

Ask how data was collected, how personal information is removed, and what controls exist against material non-public information.

Delivery and rights

Check delivery format, update frequency, and whether you may share derived figures in board papers or client work.

How pricing works

Providers in this guide do not publish prices. Datasets are licensed after a demo, usually on annual terms.

The price rises with breadth and depth: number of datasets, countries, tickers or sectors covered, years of history, update frequency, and delivery method. Raw feeds and dashboards may be priced separately. Research-led providers such as M Science include analyst access. Ask whether a corporate license exists and how its rights differ from an investor license.

Neudata says it lists datasets for sellers free and takes no cut of the sales they make.

Model	How it works	Watch for
Dataset license	An annual license to one dataset or bundle, scoped by geography, coverage and history.	Coverage limits written into the contract that exclude the companies you most need.
Platform subscription with analyst access	Seats on a dashboard or research platform, with analyst calls and reports included.	Whether raw data export is included or costs extra.
Raw data feed	Bulk delivery to a warehouse or cloud bucket, priced by dataset, history and update frequency.	Redistribution limits and fees for added users or derived products.
Discovery subscription	Access to a catalog, dataset assessments and introductions to vendors, sold to buyer organizations.	Whether vendor reviews are independent of the vendors listed.

Implementation

Write the questionName the companies, metric and decision. A narrow question keeps the license scope and price down.
Run a trial with backtestsTest the dataset against reported figures for your named companies over several years, before you sign.
Clear complianceHave legal review collection methods, personal data handling and usage rights. Investors also need a material non-public information review.
Wire it into the workflowLoad the feed or dashboard into the planning model or monthly review, and name an owner for each metric.

Confirm before you sign

Panel size, sources and demographic mix are documented for our markets.
We backtested the data against reported figures for our named companies.
Every competitor and target we need is in the coverage list.
History depth and point-in-time storage are confirmed in writing.
Latency from activity to delivery is stated in the contract.
Legal has reviewed data collection, consent and personal data removal.
Usage rights cover board papers, client deliverables and internal models as we need.
Delivery format and update schedule match our systems.
The vendor will notify us of panel changes that break the series.
Price caps on renewal and the notice period are agreed.

Questions to ask in a demo

How many accounts, cardholders or profiles are in the panel for our markets, and how has that number changed in 3 years?
Show the history for our 5 named competitors against their reported revenue. Where did the data miss, and why?
Which merchants or brands in our category are not mapped, or are mapped with low confidence?
How many days after the activity does the data arrive, and does the lag differ by dataset?
When a data source leaves the panel, how do you adjust the history, and how are we told?
How is personal information removed, and what controls exist against material non-public information?
Can we share derived figures in board papers or with clients? What does the license forbid?
Is there a corporate license, and how does it differ in price and rights from the investor license?

Frequently asked questions

What is alternative data?

Alternative data is any dataset outside company filings and market prices that says something about a company's performance. Common types are card transactions, e-commerce receipts, medical claims, job postings, employee profiles, web traffic and app usage. Providers clean the raw data, map it to companies and tickers, and sell it as dashboards, research reports or raw feeds.

Can corporate strategy teams use alternative data?

Yes. Providers built most products for investors, but several sell to corporations. Consumer Edge offers competitor benchmarking and corporate development support to brands. YipitData sells to executive, strategy, sales and category teams. Corporate buyers should ask for a corporate license, which may carry different rights and prices from an investor license.

What happened to Earnest Analytics?

Consumer Edge agreed to acquire Earnest Analytics on April 14, 2025, and completed the deal on April 28, 2025. Earnest, founded in 2012, brought transaction and healthcare data. Consumer Edge now sells a medical claims dataset called Hydrus Prime Enriched. Earnest clients should confirm which datasets and contract terms continue.

How do I find the right alternative dataset?

Start with the question, then search a discovery platform. Eagle Alpha says it helps buyers navigate more than 2,500 alternative data products. Neudata says its catalog lists more than 7,000 datasets. Shortlist 2 or 3 datasets, then run trials with backtests against figures you already know.

How much does alternative data cost?

Most providers do not publish prices. Datasets are licensed after a demo, and price rises with coverage, history, update frequency and delivery method. Research-led providers include analyst access. Ask each vendor to quote the same scope, and ask whether a corporate license exists with different rights or price from an investor license.

Sources

Written by Stratrix editors from public sources and checked claim by claim by a second AI model against those sources. Vendors named in the editorial sections did not pay to be included. Spotlight listings are paid and labeled. Methodology and corrections

Alternative data providers: how they differ and who each fits