A/B Testing Plan for Ad Unit Formats

Objective

Determine which ad format generates the highest RPM (Revenue Per Mille) and CTR (Click-Through Rate) on high-traffic pages.

Methodology

• Duration: 30 days
• Pages: Top 5 highest-traffic pages (15,000+ monthly visits each)
• Rotation: 33% traffic to each format per page
• Sample Size: Minimum 10,000 impressions per format per page

Ad Formats Tested

Format	Size	Placement	Expected CTR
Display Banner	300x250	Below first paragraph	1.5-2.5%
In-Article Ad	Responsive	Middle of content	2.0-3.0%
Matched Content	Responsive	End of article	1.0-1.8%

Success Metrics

Objective

Find the optimal balance between ad revenue and user experience by testing different ad densities.

Methodology

• Duration: 14 days
• Pages: 10 medium-traffic pages (5,000-10,000 monthly visits)
• Variables: 2 ads vs 3 ads vs 4 ads per page
• Sample Size: 5,000+ impressions per variation

Ad Density Variations

Variation	Ad Count	Placement Strategy	Expected Impact
Light	2 ads	Header + Mid-content	Lower revenue, better UX
Medium	3 ads	Header + Mid-content + Sidebar	Balanced approach
Heavy	4 ads	Header + Mid-content + Sidebar + Footer	Higher revenue, potential UX impact

UX Metrics to Monitor

• Bounce rate changes
• Time on page
• Scroll depth
• User complaints/feedback

Objective

Optimize mobile ad revenue (60% of traffic) by testing mobile-specific ad formats and placements.

Methodology

• Duration: 21 days
• Device Split: Mobile (60%) vs Desktop (40%)
• Formats: Anchor ads, sticky sidebar, in-content
• Sample Size: 8,000+ mobile impressions per variation

Mobile Ad Formats

Format	Implementation	Expected RPM	User Experience
Anchor Ad	Fixed bottom of screen	$2.50-3.50	Minimal disruption
Sticky Sidebar	Fixed right side (desktop only)	$1.80-2.50	Good visibility
In-Content	Within article flow	$3.00-4.00	High engagement