This template centralizes brand mentions, influencer posts, and social conversations across all channels in one structured hub. It helps marketing and PR teams monitor audience reach, track post performance, and measure overall brand awareness.
Everything connects natively across four structured tables: Mentions, Authors, Campaigns, and Users. Linking an author directly to their logged posts aggregates follower counts and automatically calculates total reach without messy manual lookups.
Built-in AI fields automatically analyze post content to tag sentiment and search the web to generate author bios as new mentions arrive.
A typical social media mentions spreadsheet starts clean, but quickly fragments into separate tabs for every month, platform, or influencer campaign. Because rows are copied between sheets and columns get renamed on the fly, calculating aggregate impressions or keeping author details updated becomes impossible.
A structured system treats every post, author, and campaign as a distinct, connected record. Dates remain formatted, impressions stay numeric, and linking an author to a mention updates total brand touchpoints across every campaign automatically.
You never have to copy-paste handles across rows or rebuild broken formulas when logging new posts. This is exactly what Softr Databases are designed for.
Log mentions with rich attributes including live URLs, publication timestamps, and impression counts linked directly to overarching campaigns. Track cumulative campaign impressions through automatic rollups that stay accurate as new posts are logged.
Native Database AI agents streamline your tracking by instantly classifying post sentiment and researching creator profiles on the live web.
Manage internal team members, system roles, and campaign ownership
Track influencer accounts with follower metrics and AI bio summaries
Log social brand mentions across platforms with AI sentiment analysis
Monitor marketing initiatives with aggregate reach and AI summaries
This database is built for marketing and communications teams that need a reliable way to monitor social reach and creator partnerships:
Customize your tracking structure. Adapt the template to your workflow by adding custom channels to the Platform dropdown, creating custom sentiment tags, or adding fields for engagement metrics like saves and shares directly within the native editor.
Import your existing log. Bring over historical posts and creator directories in seconds via CSV upload, or connect an API to sync mentions automatically from social listening tools.
Build a full app around your data. When your team is ready, generate an app with AI by describing the portal you need in plain language. Softr generates the interface, workflows, and granular users and permissions directly on top of this database, letting team members log mentions while external stakeholders view read-only executive dashboards.
A social media mentions database is a structured system used to log, organize, and analyze public posts, influencer tags, and brand references across social channels. It links individual posts to author profiles and marketing campaigns to measure total brand sentiment and reach.
A no-code database provides relational linking, typed fields, and automated rollups without requiring custom software development. It eliminates the data drift and broken formulas common in basic spreadsheets while keeping your tracking system easy to update.
Softr provides native Database AI agents that live directly inside table fields. They can automatically classify post sentiment as positive, neutral, or negative upon entry, and search the live web to generate summaries of influencer profiles.
Yes. You can use Softr's AI app generator to turn this database into a complete portal with custom interfaces and user roles. Community managers can submit posts via secure forms while clients or leadership access read-only analytics dashboards.
Yes, this template is completely free to copy and use within Softr. Softr includes databases with unlimited collaborators on all plans, with higher tiers available for larger record volumes.
Spreadsheets rely on separate tabs and fragile lookup formulas that break when rows shift or files are duplicated. A relational database keeps authors, campaigns, and mentions cleanly linked so aggregate metrics like total impressions update reliably across the board.
Build and launch your first app in under 30 minutes.