Data Providers.How to maximize revenue. Part 2

In part 1 of this series, we introduced the formula below as a proxy for how much revenue a data provider could generate in the alternative data financial market:

Product Strength Index for Financial Sales Capacity Frictionless Process * TAM = Revenue

The previous article focused on the Product Strength Index (PSI) for Financial usage, with the logical thesis that product strength is very important. ? In this article, I would like to discuss the Total Addressable Market (TAM) and a possible list of factors:

1. Data Range and uniqueness:?TAM can increase quickly?when the data covers a wide view and is more unique.? B2B data, transaction data to see spending, health care, tech.
2. Ticker count:?The mapping level of your data to publicly traded companies is near linear to TAM size. More tickers are better. This process is called tickerization in this space. In addition, the?Quant wall?exists. This is where quantitative funds really engage once the ticker count is 200, and they prefer 400 plus. They are over 40% of the buying dollars. Per a recent survey, over>90%?of funds want quality ticketed data.??
3. Fund range: The ability to sell quantitative to fundamental funds opens up a world of 700+ fund buyers.? ? Macro, PE and other use cases can get this to 1,000 to 1,500.
4. Delivery Range:?data files to Dashboard. More than half of buying funds prefer a dashboard tool, and sales cycles can be less than four weeks.?

AltHub's AI SymLink module is designed directly to help with high-quality and maximized tickerization.? It also maps private companies at scale to help your core market. ? AltHub Fundamental Edge module is designed to give you a rapidly deployed dashboard for your data to fundamental funds.???

For more information, feel free to reach out to [email protected] or myself.

#alternativedata ? #althub ? Neudata