Automate Marketing Reports Across All Your Channels
Build an AI agent that pulls data from Google Analytics, social media, email campaigns, and ads to create unified performance reports automatically.
What You'll Build
Your AI agent will collect data from all your marketing tools and compile comprehensive reports. It can:
- Pull data from multiple platforms including Google Analytics, Facebook Ads, Twitter, LinkedIn, Mailchimp, and more
- Calculate unified metrics like total reach, engagement rate, conversion funnel, and ROI across all channels
- Identify top performing content and channels with actionable recommendations
- Send formatted reports via email or Slack with charts, tables, and executive summaries
Before You Start
- An Everna account (sign up at app.everna.io)
- Access to marketing tools you want to track
- Clear goals and KPIs for each channel
- Email or Slack for report delivery
How to Set It Up
Create Your Agent
Go to app.everna.io and click New Agent. Name it "Marketing Report Bot" or "Analytics Agent".
Define Your Reporting Strategy
Tell your agent which platforms to track, what metrics matter, and how to format reports. Here are three examples:
Example 1: Weekly Performance Dashboard
"Every Monday at 9am, pull data from Google Analytics, Twitter Analytics, LinkedIn Company Page, and Mailchimp for the past week. Calculate these metrics: website traffic and sources, social media reach and engagement, email open and click rates, conversion funnel from visit to signup. Create a formatted email report with: executive summary highlighting wins and concerns, channel by channel breakdown with week over week comparisons, top 3 performing content pieces, and 3 recommended actions based on the data. Send to marketing@company.com."
Best for: Teams wanting weekly marketing performance reviews
Example 2: Campaign Performance Tracking
"Monitor our active marketing campaigns across Facebook Ads, Google Ads, and Twitter Ads. Check performance every day at 6pm. For each campaign, track: spend, impressions, clicks, CTR, conversions, cost per conversion. Alert me immediately via Slack if any campaign exceeds daily budget, drops below 1% CTR, or has cost per conversion 50% above target. Send daily summary comparing all campaigns with recommendations on budget reallocation. Pause campaigns automatically if they hit critical thresholds."
Best for: Active campaign management with budget controls
Example 3: Content Performance Analysis
"Track all content we publish: blog posts, social media posts, videos, podcasts. Pull engagement data from website analytics, Twitter, LinkedIn, YouTube, and Spotify. Every Friday, analyze which topics, formats, and distribution channels performed best. Identify patterns: what type of content gets most shares, which headlines work, what posting times drive engagement. Create a detailed report with: top 10 pieces by engagement, content type performance comparison, topic trend analysis, and specific recommendations for next week's content calendar."
Best for: Content teams optimizing based on performance data
Connect Marketing Platforms
Enable access to your marketing tools:
- Google Analytics - Website traffic and conversion data
- Social Media - Twitter, LinkedIn, Facebook, Instagram analytics
- Email Marketing - Mailchimp, SendGrid, or other email platform
- Advertising Platforms - Facebook Ads, Google Ads, LinkedIn Ads
- Spreadsheet Access - Save historical data to Google Sheets
Launch Automated Reporting
Click Create Agent to deploy. Your agent will begin collecting data and send your first report on schedule.
Review the first few reports to refine metrics and formatting preferences.
Best Practices for Multi Channel Reporting
Focus on Unified Metrics
Track metrics that span channels like total reach, overall engagement rate, and full funnel conversion. Channel specific metrics are useful but unified view reveals true performance.
Compare Apples to Apples
Different platforms measure engagement differently. Normalize metrics (eg. engagement rate = interactions divided by reach) to fairly compare channels.
Include Historical Context
Show week over week, month over month, and year over year comparisons. Current numbers mean nothing without understanding if they're improving or declining.
Make Reports Actionable
Include specific recommendations based on data: "Twitter engagement dropped 30%, consider posting 2x per day instead of 1x" is more useful than just showing the drop.
Automate Data Storage
Have your agent save all data points to a master spreadsheet. This creates a historical database for long term trend analysis and forecasting.
Common Issues and Solutions
Data from different platforms does not match
This is normal due to different tracking methods. Focus on trends within each platform rather than exact number matching. Use UTM parameters consistently for better attribution.
Reports are too long and complex
Start with executive summary (3-5 key points), then detailed breakdowns. Use visual formatting like tables and bullet points. Consider separate daily alerts for critical metrics and weekly deep dives.
Missing important insights in the data
Update your agent to look for specific patterns: sudden spikes/drops, shifts in traffic sources, content that outperforms others. Train it to highlight anomalies automatically.
API rate limits or connection failures
Some platforms have strict API limits. Reduce data collection frequency or use platform exports. Build in retry logic. Consider platform API tier upgrades for higher limits.