Setup guides, API references, and product documentation.
Company Insights is the entry point for account-level reporting. From any row you can drill into the customer journey timeline to see the full chronology of LinkedIn engagement and CRM events for that account.
Ads Composer is a draft-based editor for changing existing LinkedIn ad sets, campaign groups, and creatives. Drafts are reviewed against a diff of the live state and applied as partial updates. Learn the workflow, what you can edit, and what falls outside its scope.
The Ad Set Analytics page shows campaign and ad-set performance with expandable per-creative rows. Creative metrics are pulled from LinkedIn on demand when you expand a row and are not stored historically.
Ads Library is a searchable repository for creative assets you upload directly and ad creatives synced from your LinkedIn account. Learn how to browse and filter assets, upload images, videos, and documents, and the size and format limits for each upload type.
Ads Manager gives you an operational table view of the LinkedIn ad objects Revenue Proven has synced from your account. Learn how to filter, sort, change status, trigger a sync, export data, and understand terminology differences from LinkedIn Campaign Manager.
Growth plans and above support belonging to multiple client workspaces. The Workspaces rollup surfaces every accessible client workspace's connection health, sync status, and recent activity in one place. The Agency plan is built for managing 50 client ad accounts across 50 seats.
Get a 30-day summary of your prompt monitoring activity, brand mention rate, AI-sourced traffic, and content draft status, all in one place.
Install the Revenue Proven AI Discovery pixel on your website to automatically detect when visitors arrive from AI assistants like ChatGPT, Claude, Gemini, and Perplexity.
The AI Discovery pixel sends events to Revenue Proven when AI assistant traffic is detected. This guide covers Content Security Policy directives, single-page app support, and ad-blocker behavior.
Generate your tracking snippet, manage allowed origins, verify installation, and rotate your secure token for AI-referrer tracking.
See which AI assistants are sending visitors to your website and, on full-access plans, identify the companies behind that traffic.
No attribution system captures every marketing influence. This guide is honest about what Revenue Proven cannot see so your reports stay defensible with leadership.
Revenue Proven offers four attribution models at the company level. Learn how each one qualifies a company as influenced, which is the default, and how to choose the right model for your B2B sales motion.
Audience Explorer lets you compose LinkedIn targeting criteria and receive estimated audience size with demographic breakdowns. Learn the difference between facet mode and segment mode, why facet mode requires a location, and what counts as a qualifying audience.
Audience Insights shows cached company-level engagement for your selected LinkedIn ad-targeting segments. It is not live demographic composition. Learn how to read the data, what the sync-to-LinkedIn action does, and what to expect around data freshness.
Automated Campaigns is a CSV-based templating tool. You upload a CSV feed, create an automation mapping columns to campaign fields, set filter rules, and preview the draft objects it would generate. Learn the current capabilities, the CSV size limit, and how preview differs from live creation.
Configure your Ads Report by choosing metrics, reordering columns with drag-and-drop, applying per-column filters, and opening row detail panels to explore the data that matters most.
Revenue Proven offers Free, Pro, Growth, Scale, Agency, and Enterprise tiers. This guide explains what differs across plans and which tier fits common team shapes.
Understand the engagement metrics available in the Company Insights table, how they are pulled from LinkedIn Ads data, and how to use them to prioritise accounts for sales outreach.
Competitor Intel uses an AI model to discover your competitors and scrapes the LinkedIn Ad Library to produce a comparative report with strengths, weaknesses, and recommendations. Learn how v1 and v2 differ, what causes a run to fail, and what the report contains.