This Sales CRM Database helps you track every customer interaction from first contact to closed deal. It keeps companies, contacts, deals, and activities connected so nothing falls through the cracks—no more scattered spreadsheets or missed follow-ups.
The database includes five connected tables: Companies store account details and industry information, Contacts link to their respective companies, Deals track pipeline stages and amounts, Activities log every touchpoint, and Application Users manage account ownership. Each table connects through native relationships—contacts automatically link to their companies, deals roll up to show pipeline value, and activities tie directly to the people involved.
Spreadsheets quickly become unmanageable for sales tracking. Teams create multiple tabs for contacts, companies, and deals, then struggle with fragile VLOOKUPs that break when data changes. Columns mix dates with comments, deal stages get inconsistent, and finding a contact's full interaction history means jumping between tabs.
Softr Databases enforce proper structure with typed columns—currency fields for deal amounts, datetime fields for close dates, and select fields with consistent stage values. Native relationships replace fragile formulas: link a contact to their company once, and lookups automatically pull company details wherever needed. Rollups instantly count deals per account manager or sum pipeline value. Following the one table = one object principle, this database stays organized as your pipeline grows, and its relational structure makes it ready for building customer-facing portals or internal sales tools.
The database tracks deal progression through customizable stages (New Opportunity, Proposal, Won), connects every activity to specific contacts and companies, and assigns account ownership with automatic rollups showing workload distribution. Lookup fields pull relevant information across tables—see a contact's company website, account manager, and deal history in one view. This structure eliminates the guesswork of who owns which account, what stage each deal is in, and when the last touchpoint happened.
Manage CRM access with roles, profile images, and linked sales performance
Store individual lead details linked to companies and account managers
Organize client organizations by industry with logos and associated deals
Track sales opportunities and revenue through custom pipeline stages
Log communications and meetings with detailed notes and contact links
This template works for any team tracking customer relationships and sales pipeline:
Customize the database. Adjust the Stage select field values to match your actual sales process (Qualification, Demo Scheduled, Negotiation), modify Industry choices to reflect your target markets, or add Service Type options that align with your offerings. Since this is a native Softr Database, editing field values and adding columns takes seconds.
Import your existing data. Upload your current contacts, companies, and deals via CSV for bulk imports, or connect through API for automated sync. This gets your team working with real data immediately instead of starting from scratch.
Build an app on top. The logical next step is creating an interface for your sales team. Build a sales dashboard showing pipeline value by stage, create filtered views for each account manager to see only their assigned companies and deals, or design a client portal where customers check deal status and contract details. With users and permissions, account managers see only their accounts while admins get full visibility. Full-stack apps in Softr mean your database, interface, and workflows all connect seamlessly—and a well-structured database like this one makes app development straightforward because relationships and data types are already properly defined.
Yes, you can build external portals where clients log in to view their deals, check contract status, or update contact information. Set granular permissions so each client sees only their own company records and related deals—nothing from other accounts. This eliminates back-and-forth emails about deal status while keeping sensitive pipeline data secure.
A sales CRM database is a structured system that tracks companies, contacts, deals, and activities in connected tables. It organizes every customer interaction and deal stage so sales teams can follow up effectively, monitor pipeline health, and never lose track of opportunities.
No-code databases let you launch a working CRM in minutes without developer dependency. You maintain full control to adjust fields, modify deal stages, and import data as your process evolves—no waiting on technical teams or paying for custom development that takes months to deploy.
The AI Database co-builder follows prompts to structure your CRM tables, create relationships between contacts and companies, and write formulas for pipeline calculations. Database AI agents can perform actions like researching company information when new prospects are added, summarizing meeting notes from activity logs, or categorizing deals by industry. Set execution conditions so agents run automatically when records are created or updated—enriching your CRM data without manual effort.
Yes, using Softr's interface builder, you can create sales dashboards for account managers showing their assigned companies and pipeline value, admin views displaying team-wide metrics, or client portals where customers check deal progress. Set permissions so account managers edit only their deals, clients view only their company information, and admins access everything—showing the right data to the right people at the right time.
Yes, it's free to get started. Databases are included in Softr's free plan, and higher-tier plans offer increased database limits as your CRM grows. All plans include unlimited collaborators, so your entire sales team can use the database without additional costs.
Spreadsheets force you to create multiple tabs for contacts, companies, and deals because filtering and saving views is cumbersome. Columns end up mixing data types—dates, comments, and stage names in the same column. CRM databases enforce structure with typed fields (currency for deal amounts, datetime for close dates, select for consistent stages), use native relationships instead of fragile VLOOKUPs that break when data changes, and make navigation simple as your customer base grows. One table for companies, one for contacts, one for deals—properly structured and connected.