Reddit ads reporting provides the data you need to evaluate performance, optimize campaigns, and demonstrate ROI. But the dashboard offers dozens of metrics—which ones actually matter depends on your objectives.

This guide covers the key metrics for each campaign type, how to build useful reports, and common reporting mistakes to avoid.

Accessing Reddit Ads Reports

Dashboard Overview

Reddit Ads Manager provides:

• Overview dashboard: Account-level performance summary
• Campaign reports: Performance by campaign, ad group, ad
• Breakdown options: Date, subreddit, device, placement dimensions
• Export functionality: CSV downloads for external analysis

Report Builder

Create custom reports by:

1. Navigating to Reports in Reddit Ads Manager
2. Selecting date range
3. Choosing metrics to display
4. Adding breakdown dimensions
5. Scheduling automated delivery (optional)

Key Metrics by Objective

Awareness Campaigns

Focus on reach and frequency metrics:

Traffic Campaigns

Focus on engagement and click metrics:

Conversion Campaigns

Focus on outcome metrics:

Building Effective Reports

Daily Monitoring Dashboard

For daily checks, track:

• Spend vs. budget pacing
• Impressions and clicks (delivery health)
• CPC and CTR trends
• Any campaigns with zero delivery

Quick daily scans catch delivery issues before they waste significant budget.

Weekly Performance Report

For weekly analysis:

• Conversion volume and CPA by campaign
• Top and bottom performing ad groups
• Subreddit performance breakdown
• Creative performance comparison
• Week-over-week trend analysis

Weekly reports inform optimization decisions without overreacting to daily noise.

Monthly Executive Report

For stakeholder reporting:

• Total spend and conversions
• Blended CPA and ROAS
• Performance vs. goals
• Key insights and learnings
• Next month's optimization plan

Focus on business outcomes, not granular metrics executives don't need.

Breakdown Dimensions

By Subreddit

See which communities drive results:

• Identify top-performing subreddits
• Pause underperforming communities
• Inform future targeting decisions

Subreddit breakdowns often reveal that 20% of communities drive 80% of conversions. When analyzing Reddit ads cost per click, subreddit-level data helps you identify which communities deliver the most efficient performance.

By Device

Compare mobile vs. desktop performance:

• Mobile typically has higher volume, lower conversion rates
• Desktop often has lower CTR but higher conversion value
• Adjust bids or creative by device if significant gaps exist

By Placement

Compare feed vs. conversation placements:

• Feed ads reach broader audiences
• Conversation ads may drive higher engagement rates
• Different creative formats suit different placements

By Date

Analyze trends over time:

• Identify day-of-week patterns
• Spot performance changes after optimizations
• Track learning phase impact on new campaigns

Common Reporting Mistakes

Mistake 1: Optimizing on Insufficient Data

Making changes based on small sample sizes leads to random optimization, not improvement.

Guideline: Wait for 50+ conversions before concluding which ad groups or creatives perform best. For statistical significance, use A/B testing calculators.

Mistake 2: Ignoring Attribution Windows

If your attribution window is 7 days, conversions from clicks in the last 7 days aren't fully counted yet.

Guideline: When analyzing conversion data, exclude the most recent attribution window period. For 7-day click attribution, analyze data ending 7+ days ago.

Mistake 3: Comparing Incomparable Periods

Comparing a holiday week to a regular week, or a week with budget changes to a stable period, produces misleading conclusions.

Guideline: Compare like to like. Use year-over-year comparisons for seasonal adjustments. Note any budget, targeting, or creative changes.

Mistake 4: Platform-Only Reporting

Reddit reports what Reddit tracks. Conversions influenced by Reddit but completing through other channels won't appear.

Guideline: Supplement with Google Analytics, your CRM, and multi-touch attribution tools for complete picture.

Mistake 5: Vanity Metric Focus

Impressions and CTR feel good but don't pay bills. Celebrating high CTR while ignoring negative ROAS leads to poor decisions.

Guideline: Always connect metrics to business outcomes. High CTR with high CPA means the wrong people are clicking. Consider working with a best Reddit marketing agency to ensure you're focused on metrics that drive real business results.

Exporting and Integrating Data

CSV Exports

Download report data for:

• Excel analysis
• Cross-platform comparison
• Custom visualization
• Archive and documentation

API Reporting

For automated reporting:

• Pull data programmatically via Reddit Ads API
• Feed into BI tools (Tableau, Looker, Power BI)
• Combine with other channel data
• Build real-time dashboards

Third-Party Integrations

Connect Reddit data to:

• Google Analytics (via UTM parameters)
• Marketing clouds (Adobe, Salesforce)
• Attribution platforms (Northbeam, Triple Whale)
• Data warehouses (BigQuery, Snowflake)

For those using specialized Reddit advertising tools, integration capabilities can streamline your reporting workflow and provide deeper insights across platforms.

FAQs

How often should I check Reddit Ads reports?

Daily checks for delivery health (spending, impressions). Weekly deep-dives for performance analysis and optimization decisions. Monthly summaries for stakeholder reporting and strategic review. Avoid making optimization changes based on less than 7 days of data.

What's a good CTR for Reddit ads?

Reddit CTR typically ranges from 0.5% to 2%. CTR above 1% is solid; above 2% is excellent. However, CTR varies significantly by industry, creative format, and targeting. Native-looking creative tends to drive higher CTR. Always prioritize conversion metrics over CTR.

Why don't my Reddit conversions match Google Analytics?

Common causes: different attribution windows (Reddit 7-day vs. GA last-click), cross-device gaps, ad blocker interference, and UTM parameter issues. To reconcile: ensure UTM parameters are properly appended, compare with consistent attribution windows, and accept some variance as normal.