Exclusive Event: Revenue Inflection Modeling Through Software Spend, MedTech, and Large Enterprise B2B Data
October 28th, 2025 | New York City
Join YipitData for a focused event exploring how alternative datasets, including software spend, MedTech, and large enterprise B2B data, can be incorporated into revenue modeling and investment research.
YipitData’s research and product teams will share frameworks for analyzing dataset trends and discuss how these signals can complement traditional metrics in understanding company performance. The session will also feature insights from industry participants on how they approach revenue analysis using data-driven methods.
What You’ll Learn:
- How software spend trends align with company growth and market activity
- How MedTech and invoice datasets capture sector-specific developments
- Ways to integrate these datasets into broader research and modeling workflows
How YipitData’s tools and metrics support ongoing research and monitoring
The event includes lightning talks, a panel discussion, and networking reception designed to facilitate open discussion around data use and methodology in investment research.
Space is limited—reserve your spot today!
Questions? Email our event team insights@yipitdata.com
Location: YipitData HQ | 19 W 44th Street, 16th Floor, New York, NY
Date: Tuesday, October 28th, 2025
Time: 5:00 - 8:00 PM
The team behind theExclusive Event: Revenue Inflection Modeling Through Software Spend, MedTech, and Large Enterprise B2B Data
We solve the problems you struggle with most
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Navigating multiple sources of truth
As new datasets become available with varying levels of accuracy, quality and compliance adherence.
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Managing and funding multiple vendors
With each specialized data vendor only contributing to a fraction of the full picture.
Syncing multiple nuanced data types
Stitching together sources of partial truth to tell a cohesive story to your organization.
Preventing misuse across data sets
Educating users on which data sources to use to answer which business questions.
A single source of truth for 650+ customers
Our proprietary approach combines various data sources (physical/email receipt, credit card, web-scraped, etc) with predictive modeling to give you the most accurate and granular read on market performance with only 7-10 days lag.
Grow your business through data-driven decisions
Market Trends
Contextualize your performance with sales data by competitor brand in your categories across your key retailers (incl Amazon, Home Depot, and Lowe’s)
Consumer Behavior
Monitor your key competitors’ sell-through, pricing, premium product adoption, retention, cross-shopping, and attachment rates to understand how the market is shifting
Product Category Analysis
Category and sub-category analysis, including customized categorization, granular detail and competitive pricing, discounting, and assortment analysis
