Trial Users Spreadsheet Template

Your Trial Users Database at a glance

This template gives your team a central hub to track product evaluations, log communications, and monitor conversions without scattered tools. It links internal reps directly to prospects and B2B companies, creating a clean pipeline.

It includes connected tables for trialists, organizations, logged interactions, and direct feedback. Everything stays natively linked so you never have to duplicate data across rows.

Built-in AI agents automatically research company profiles, summarize call notes into action items, and classify user sentiment from feedback.

Why tracking trial users in spreadsheets breaks down

Managing a software evaluation cycle in flat rows quickly leads to lost notes, broken formulas, and fragmented account data.

What a structured database changes

Spreadsheets force you to cram user details, company info, and call logs into the same chaotic view. The moment multiple reps start editing, data integrity disappears.

A true relational system assigns strict types to your data, ensuring dates stay dates and records link flawlessly without VLOOKUPs. This structure keeps B2B accounts clean as you grow, which is exactly why Softr Databases are designed for this.

What you can do with this template

You can instantly map prospects to their parent companies and assign dedicated account managers with a single click. Everything updates in real time for your entire sales and support team.

You can also leverage AI agents to research an account's industry automatically or instantly extract blockers from raw meeting notes.

Who is this Trial Users Database for

This structured template is designed for cross-functional teams managing customer evaluations.

• Sales Reps: Monitor active evaluations and track prospect interactions in one unified view.
• Account Managers: Aggregate individual users into parent company profiles to manage B2B expansions clearly.
• Support Agents: Log feature requests and monitor feedback sentiment to tackle user blockers efficiently.

How to take it further

Easily customize the database by renaming pipeline stages or adjusting interaction types to match your exact sales process. The native structure lets you tweak fields instantly without breaking anything.

Bring in your historical leads seamlessly by uploading a CSV or mapping an API connection. Your team can start working with real data on day one.

When your pipeline grows, you can connect this backend to a custom app where reps only see their assigned accounts. By setting up proper users and permissions, you securely control who can view and edit sensitive deal information. A well-structured database makes this kind of scaling effortless.