Alternative Data

Metric	FY24Q1	FY24Q2	FY24Q3	FY24Q4

Features

Unmatched Data Depth & Breadth

Tickerized, Backtested, and Scaled for Real Insights

Billions of receipts processed annually, updated multiple times daily

In-house backtesting ensures data reliability for high-impact decisions

Meticulously enriched, standardized, and QCed to align with investor workflows

Browse Ticker-Level KPIs

Features

Granular Data for Quant & Hedge Fund Strategies

Strengthen Market Models with Verified Transaction Inputs

Incorporate near real-time spend signals into multi-factor trading algorithms, complete with granular product-level categorization

Detect micro-trends and anomalies for tactical positioning ahead of earnings

Improve risk management by tracking real-time purchase signals

Explore Row-Level Data

Transaction ID	Company	Email Timestamp	Product MRP	Product Price	Product Discount	Product Quantity	Product Total	Order Subtotal	Order Discount	Order Amount Paid	Order Payment Type	Order Payment Currency	Product Brand	Product Name	Product Color	Product Size	Product Category	Product Subcategory 1	Product Subcategory 2	Delivery Address Postal Code	Delivery Address City	Delivery Address State	User ID	User Gender	User Age	User Address Postal Code	User Address City	User Address State	User Address Country	User Device Brand	User Device Model	User OS Type	User Onboard At	User Inactive At	Product Link	Product Brand Parent	Product Sequence

Corr = 0.930

R² = 0.865

RMSE = 0.142

IC = 0.928

Rank = 0.925

KL = 0.086

Features

Track key signals of earnings performance

Pinpoint Revenue Drivers in Real-Time

Align ticker-mapped transaction trends with reported earnings

Uncover product-level shifts in consumer demand to refine models

Easily combines with other data inputs to validate investment theses

Check Our Backtests & Correlations

Features

Alternative Data Loses Value When It's Overused. Ours Isn't.

Widely-available alternative data is just noise, no different than public data with a price tag. Our dataset is still a secret—giving you the signal before the rest of the market.

We work with you

No matter what type of fund you are, Vumonic makes it easy to trial and license data. Just fill out a form on our website or click one of the buttons below.

Small roster, big edge

We prioritize depth over distribution. Fewer, non-overlapping clients mean our data retains its potency for those who act first.

Accuracy you can trust

From our incredibly product categorization model to our rigorous QC processes, we ensure every data point meets the highest standards.

We use our own data

We don’t just sell data—we work with it deeply. By backtesting, analyzing, and refining our own dataset, we ensure it’s truly valuable, not just something to package into reports.

Every detail matters

From precise user onboard and offboard dates to 5+ years of historical data, we nail the important details that are make-or-break for a quality e-receipt panel.

Tech-driven speed

Our advanced processing systems ensure the lowest possible lag, delivering high-quality e-receipt data faster than anyone else.

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contact sales

Vumonic’s e-receipt data for emerging markets is top-tier. The accuracy, granularity, and ease of integration set them apart, making them a go-to provider in our data toolkit.

Vumonic User

Trader, Quant Fund

Vumonic is a great provider to have onboard to our global data commerce platform. The company’s consumer transaction datasets offer worldwide coverage - Vumonic is meeting a growing demand for clean, cross-industry commerce intelligence.

Richard Hoffman

Co-Founder, Datarade

Support

FAQs

How does Vumonic source its data?

We source our data from our mobile app, Instaclean. It's an email-cleaning app used by millions globally on iOS and Android. All Instaclean users have provided opt-in consent to our T&C and Privacy Policy and may opt-out of data collection at any time.

With which reported KPIs does Vumonic data align with most—revenue, user growth, retention, or something else?

It depends on the company, industry, and reporting methods. Factors like purchase patterns, transaction frequency, and customer lifecycle shape how our data aligns with key metrics. Since reporting varies, metrics should first be defined from company reports, then mapped to the most relevant Vumonic data. We always provide guidance on this when sharing data for any ticker.

How do I ingest Vumonic data?

Our data is accessible via our web portal, but most clients prefer automated ingestion through Snowflake or S3. We work with each client to set up a custom cadence and lag that fits their needs.

Does Vumonic provide granular SKU-level data, including item-level tickerization, attribution, categorization, and brand tagging?

Yes, we do. Our tickerizing and categorization models are the most accurate in production today within the e-receipt space, ensuring precise item-level insights for deeper analysis.

How do data trials work?

We offer 45-day trials starting from 1/1/2020 for select partners. Use the Contact Sales button to get started. Trials include our data along with in-house backtests.