This Sales CRM Database helps you track your entire sales operation—from initial contact through closed deals. The structure connects companies, contacts, deals, activities, and account managers in a way that keeps every relationship visible and every pipeline stage clear.
The database includes five interconnected tables: Companies stores client organizations with industry and contact details; Contacts links individuals to their companies; Deals tracks opportunities with amounts, stages, and close dates; Activities logs all customer interactions; Application Users manages your sales team with role-based assignments. Lookups and rollups automatically pull related information across tables—like seeing all deals for a company or counting activities per contact.
Excel wasn't built for managing relationships between customers, deals, and interactions. As your pipeline grows, you end up with multiple spreadsheets, complex VLOOKUP formulas that break when columns shift, and no clear way to see how companies, contacts, and deals connect.
Softr Databases enforce proper structure with typed columns—currency for deal amounts, date fields for close dates, select fields for pipeline stages. Instead of fragile VLOOKUP formulas, native relationships connect tables: link a contact to their company, then automatically look up that company's account manager or website. Rollups count activities or deals without manual formulas. The one-table-per-object principle means Companies stay in one place, Contacts in another, with clean connections between them—not scattered across multiple sheets. This structure makes your CRM app-ready and scalable.
The database tracks deal progression through customizable stages (New Opportunity, Proposal, Won) with automatic deal IDs and currency fields for accurate pipeline reporting. Database AI agents can research companies when added, extract contact details from business cards, or summarize meeting notes into activity logs. Lookup fields automatically surface account manager names, company websites, and contact counts across related tables—eliminating manual data entry and keeping information synchronized as your pipeline evolves.
Manage CRM platform access with roles, profiles, and assignment metrics
Store individual lead data including job titles and communication history
Centralize corporate client information, industry tags, and account managers
Track pipeline opportunities, contract values, and sales lifecycle stages
Log every customer interaction from emails to meetings with detailed notes
This database is built for teams and individuals who need structured customer relationship management without spreadsheet limitations:
Customize the database. Modify the Stage select field to match your sales process (add "Demo Scheduled" or "Negotiation" stages), adjust Service Type options to reflect your offerings, or add custom fields like "Lead Source" or "Expected Revenue." Since this is a native Softr Database, editing fields and relationships takes seconds—no formula rewrites needed.
Import your existing data. Upload customer records, deal history, and contact lists via CSV import for bulk transfers. Connect to external systems through API for automated data sync—pull in leads from forms, update deal stages from payment processors, or sync activities from email tools.
Build an app on top. The logical next step is creating an interface where your sales team can log activities, update deal stages, and view assigned accounts—all connected to this database. Set user permissions so account managers only see their assigned companies and deals, while admins access full pipeline visibility. Full-stack apps in Softr combine Database + Interface + Workflows, all connected seamlessly. A well-structured CRM database makes building these interfaces straightforward—proper relationships mean your app views stay accurate as data grows.
A Sales CRM database tracks customer relationships, sales opportunities, and interactions in structured tables with enforced data types and native connections. It stores companies, contacts, deals, and activities in separate tables that link through relationships—not formulas—so you can see pipeline stages, account assignments, and interaction history without manual lookups or scattered information.
No-code databases let you structure customer data properly without hiring developers or waiting months for custom software. You get production-ready CRM functionality immediately—relational tables, automatic calculations, user assignments—that you can customize and maintain yourself. This autonomy means adapting to new sales processes or adding fields takes minutes, not development sprints.
The AI Database co-builder helps you add fields, write filters for pipeline views, or create formulas for revenue calculations through simple prompts. Database AI agents perform actions when records are added or updated—research companies when they enter your pipeline, extract contact details from uploaded business cards, categorize leads by industry, or summarize meeting notes into structured activity logs. Configure these agents as database fields that execute automatically based on your conditions.
Yes, using Softr's interface builder that connects directly to this database. Create portals where account managers log customer interactions, update deal stages, and view assigned companies—or build dashboards showing pipeline metrics and activity summaries. Set permissions so sales reps see only their accounts while managers access full team visibility, controlling who can edit deal amounts or change pipeline stages.
Yes, free to get started. Databases are included in Softr's free plan, and you get unlimited collaborators on all plans so your entire sales team can access the CRM. Higher-tier plans offer increased database limits as your customer base and deal volume grow.
Excel forces you to manage customers across multiple sheets because filtering views and hiding columns is cumbersome—leading to duplicated data and version confusion. Columns mix data types (dates, comments, numbers in one column), and VLOOKUP formulas break when you add columns or sort data. This Sales CRM database enforces column types (currency for amounts, dates for close dates, select fields for stages), uses native relationships instead of fragile lookups, and follows one-table-per-object so Companies, Contacts, and Deals stay cleanly separated with automatic connections between them.