LogitAtlasInsights
The LogitAtlas Blog
Practical playbooks on dataset licensing, pricing, delivery, escrow, and growing a cross-border data business.
What is a Data Marketplace? A B2B Buyer's and Seller's Guide
A data marketplace is a trusted platform where companies list, discover, license and deliver datasets. Learn how modern B2B marketplaces work, who they serve, and why they are reshaping how data is monetized in 2026 and beyond.
Pricing Datasets: Flat Fee, Subscription, or Bidding?
The hardest part of selling data is not the data. It is the price tag. Here is how we think about pricing on a modern data marketplace, with concrete examples for each model and a decision framework you can apply this week.
The Rise of Alternative Data in 2026
Hedge funds, retailers, and policy teams are paying more for alternative data than ever. Here's what counts as alternative, who buys it, and how to position your dataset for this wave.
How Escrow Payments Protect Data Buyers and Sellers
Escrow is the single feature that turns a data marketplace into a trusted commerce platform. Here is how it works end to end, who it protects, and what to look for when evaluating a marketplace's escrow design.
How to Package Your Data for Sale
A great dataset still fails if the package is wrong. Learn how to structure files, document schemas, and ship a sample that gets buyers to commit.
Three Delivery Modes Every Data Seller Should Support
Secure file transfer, seller-hosted link, or scoped API credentials. The delivery mode you pick shapes buyer trust, your operating cost, and whether the deal happens at all. Here is how to choose and when to combine them.
Negotiation Playbook: Closing Six-Figure Data Deals
Big data deals aren't closed over a listing price. They're closed in a chat thread. Here's the playbook sellers use to turn a $20K bid into a six-figure contract.
Dataset SEO: How to Write a Listing That Actually Ranks
Great datasets fail if nobody finds them. This is how to write a marketplace listing that ranks well in internal search, converts browsers into buyers, and reads credibly to a legal team at the same time.
Onboarding Buyers: Why First Impressions Matter
A buyer's first order shapes every future one. Here's how sellers turn a one-time curious buyer into a long-term account that pays monthly without a sales conversation.
Why Trust Is the Core Product of a Data Marketplace
Marketplaces exist to make trust reusable. For a data marketplace that means verified identities, published disputes, standardised licenses, and payouts that work the same way for a stranger as for a repeat customer.
Data Quality Metrics Every Seller Should Track
Buyers trust sellers who measure quality publicly. Here are the metrics worth reporting, how to compute them, and how to turn them into a selling point on the listing.
Compliance for Data Sellers: Licensing, PII, and Cross-Border
Selling data globally comes with a compliance tax. Here is how to think about licensing, personal information handling, and cross-border transfers so your listings pass review and your deals close faster.
From Raw Logs to Marketable Assets
Most companies are sitting on event logs they treat as a cost center. Here's how to turn those logs into datasets people pay for, without a six-month engineering project.
AI Training Datasets: What Buyers Look For in 2026
AI teams are the most demanding buyers on a data marketplace. They want provenance, licensing clarity, scale, diversity, and documentation. Here is what wins their trust and what sends them back to search.
Running a Side Income From Your Company's Data
A small team can turn a well-maintained dataset into a steady five-figure monthly line item. Here's what to focus on, and what to ignore, in the first six months.
The Anatomy of a Great Dataset Listing
Great listings are not accidents. They follow a repeatable structure that signals seriousness, answers buyer questions in order, and leaves nothing important to a follow-up email. Here is the full anatomy.
Marketplace Commission 101: Why It Exists and How to Set It
Commission is how marketplaces fund the trust, infrastructure, and operations buyers and sellers rely on. Here is why it exists, how to think about it, and what rates are reasonable for a data marketplace in 2026.
In-App Negotiation: Replacing Email Threads with a Chat Thread
Email threads kill data deals. In-app negotiation keeps the conversation, the price, the license, and the delivery in one place with a timestamp on everything. Here is why that matters and what good chat UX looks like.
Buyer Checklist: What to Ask Before Licensing a Dataset
Buying data is a procurement decision as much as a technical one. This is the checklist we recommend to every buyer before they put money into escrow for a new dataset.
Payouts Explained: Stripe Connect for Data Sellers
Stripe Connect is how data sellers on this marketplace get paid in their local currency, in their local bank account, without the platform ever touching the money. Here is how it works end to end.
Reviews and Reputation on a Data Marketplace
Reviews are the slowest and most durable moat a data seller can build. Here is how reputation works on this marketplace, what buyers actually read, and what to do when a review is unfair.
Getting Started as a Seller: From Signup to First Payout
A step-by-step walkthrough from creating your seller account to seeing your first payout land in your bank. Includes the common mistakes to avoid and the fastest path to a verified, published, and selling account.