Amazon A+ Content is the enhanced product page section brand-registered sellers can deploy on every ASIN — modules with images, comparison charts, longer storytelling. The conversion lift is real for most categories. The question worth asking is how big, and whether the modules you use are actually pulling weight.

This guide is about measuring A+ Content properly.

TL;DR: A+ Content typically lifts conversion rate by single-digit percentage points on most product pages. The cleanest way to measure is Amazon’s native Manage Your Experiments tool, which runs A/B tests on A+ versions. Without that, before-and-after period comparison with controls for traffic source, season and ad spend gets you a usable estimate. Tracking A+ at the module level (which sections work, which do not) is the underused win.

Why A+ usually lifts conversion

A+ Content sits below the bullets and above the description. It addresses three buying objections at once:

• Visual reassurance — photographic and lifestyle imagery beyond product shots.
• Comparison context — compare-charts position your product against alternatives.
• Brand storytelling — trust signals that bullets cannot deliver.

Customers undecided at the bullet level often convert when A+ does its job.

How to measure A+ lift properly

Manage Your Experiments (best when available)

Brand-registered sellers with sufficient traffic can A/B test A+ Content directly. Two versions, real traffic split, real conversion data. Statistically significant lift after the test window is the cleanest signal you will get.

Before-and-after with controls

Without A/B testing, the next best is comparing conversion rate over comparable periods before and after deploying A+. To control for noise:

• Use 30-day windows minimum.
• Match seasonality where possible.
• Hold ad spend constant or normalize for it.
• Exclude promotional periods (Lightning Deals, Coupons).

Cross-SKU benchmarking

Compare conversion rate of similar SKUs with and without A+ in your catalog. Less precise than within-SKU testing, but useful when traffic per SKU is too low for proper A/B testing.

What to track at the module level

A+ Content is composed of modules. Different modules deliver different value. Track:

• Hero image module — most-viewed module by far. Worth iterating on.
• Comparison chart — helps when customers are comparing models or sizes.
• Lifestyle imagery — reduces “not as expected” returns by setting realistic expectations.
• Brand story module — useful for new brands but lower direct conversion impact.

Manage Your Experiments lets you A/B test individual modules. Most teams do not bother and miss easy wins.

Scaling what works

Once you have a winning A+ template for a category, scale it. Apply consistently to every SKU in that category, then test variations on top.

Common patterns that scale well:

• One A+ template per product family.
• Lifestyle imagery customized per product but identical layout.
• Comparison charts updated each quarter to reflect category competition.
• Brand story module identical across the brand.

Where the data lives

• A+ Content version history is in Brand Registry tools.
• Conversion rate per ASIN is in Brand Analytics and your sales reports.
• Manage Your Experiments results live in the experiments dashboard.
• Joining all of these to your sales velocity surfaces real-world A+ ROI.

The bottom line

A+ Content is one of the highest-ROI pieces of work brand-registered sellers do. Measuring it properly — ideally through MYE, otherwise through controlled before-and-after — separates the modules that actually pull weight from the ones that just look nice.

DataDoe’s Amazon data layer joins A+ Content version history with conversion data per ASIN so AI tools can surface which modules drive measurable lift.