Producing thousands of advertisement variants requires automation, and automation requires that most design decisions have already been made. The constraint is not a limitation of the software but the condition that makes it work.
Automation substitutes content, not judgement
A template defines regions for text, imagery, price and identity, and the system fills those regions from a data source.
It has no capacity to decide that a particular product photograph works badly against a particular background or that a headline reads awkwardly at a given size.
Every such judgement must therefore be resolved when the template is designed, which is why template creation takes far longer than the output it generates.
Variable text is where templates break
Product names, descriptions and prices vary in length, and a layout tuned for a short example fails visibly on a long one.
Systems handle this by shrinking text, truncating it or reflowing the layout, and each option degrades the design in a different way.
Defining acceptable limits at the data level, so that the feed never supplies text the template cannot hold, produces far better results than any automatic adjustment.
Feed quality determines output quality
Automated creative draws from product feeds that were usually built for a different purpose, such as catalogue management or search listings.
Inconsistent image backgrounds, missing fields and internal naming conventions all pass straight through into the advertisement.
The work of preparing a feed for creative use is where most of the effort in these projects lands, and it is regularly underestimated at the outset.
Rules replace approval on individual assets
Reviewing every generated variant is impossible at volume, so approval moves to the template and the rules that populate it.
Those rules must handle exceptions explicitly, such as products without imagery, items out of stock, or categories that carry regulatory restrictions on how they may be advertised.
An unhandled exception produces an advertisement nobody has seen appearing in market, which is the characteristic failure of these systems.
The gain is in maintenance rather than creation
The strongest argument for automation is not the initial production but what happens when something changes.
Updating an offer, a legal line or an identity element across thousands of assets becomes a single template edit rather than a reproduction project.
Organisations that adopt these tools for launch speed alone frequently conclude they were not worth the setup, while those that adopt them for continuous change generally reach the opposite view.