Thousands of products. Dozens of categories. One platform to run it all.

Every new category brings new required attributes, compliance rules and channel formatting. Manual management gets difficult fast once you go beyond a few categories.

Teams spend time building feed rules instead of growing campaigns. Every new product line adds more complexity across every channel.

A large share of products in advertising catalogs are unavailable for purchase at any given time. In some categories that figure reaches 40%. With hundreds of thousands of products, inventory signals often get lost.

Ads run for products shoppers cannot buy. That means wasted budget, missed sales and lower trust.

Every major ad channel requires its own format, required attributes and image specs. Larger stores run campaigns on significantly more channels than smaller ones, which makes the workload much bigger.

Feed teams become a bottleneck. Errors spread across channels, causing disapprovals, mixed messaging and lower conversion rates.

Around 7% of Shopping feed items get rejected because of data errors. Invalid product codes and issues with shipping or images make up the majority of rejections, and they multiply across a large catalog.

Products disappear from search exactly when people are looking to buy, and competitors who fixed their feeds take those clicks instead.

Updating feeds for hundreds of thousands of products across different segments often needs engineering time. Different channels in different markets each require their own feed structure.

Technical teams get pulled into repetitive data work instead of building the business. Requests pile up and campaigns have to wait.

Margins vary a lot across categories. A healthy overall ROAS can hide categories that are actually performing poorly.

Profitable categories cover the losses in others, and the team has no clear signal to act on. Budgets grow without actual profit growing with them.

When demand jumps in one category while another slows down, manual budget changes take days. By the time campaigns adjust, the opportunity is already gone.

High-intent shoppers go to faster competitors. Budget sits in low-performing categories while strong demand in others goes unmet.

When a store adds a new product category, those products start with no performance history. Ad algorithms ignore them and focus budget on established bestsellers instead.

New categories never get the visibility they need to grow. Investment in new areas brings no return because the algorithm skips them.

Moving from back-to-school to Black Friday to Christmas means updating product images, banners and overlays across the entire catalog. At scale, doing this manually is not realistic.

Seasonal campaigns go live late and look the same as always. Lower click rates, missed engagement, creative fatigue and a team that is always trying to catch up.

On average, Q4 brings up to 32% of annual revenue, with toys, electronics, home and gifts all competing for the same budget at the same time. Ad costs rise sharply in Q4 and again in November and December across Meta.

Some categories miss their peak while others hit the point where more budget brings fewer results. Every category gets squeezed at the same moment.