search-term targeting
01. the use case
Ad strategists need to know how a product category is trending to decide where to prioritize ad spend, but Pattern only had search query data at the individual term level, with no way to see how a whole category was trending over time.
02. the feature
I designed a keyword category trends tool that aggregates search query data by category, so strategists can see rising and declining trends across a whole product category and reallocate ad spend accordingly. It reached 100+ daily active users within 2 months of launching.
highlight movers and shakers categories
This widget highlights the biggest growing and declining categories. By seeing which categories are having the biggest changes, users can quickly and proactively see which types of products they should lean into, and which ones they should probable pull spend from.
quick trend overview
This quick view allows users to quickly see the general "shape" of how a category has been trending at a variety of time slices. Rather than diving deep into time range filters and complex graphs, this helps them get a quick idea of current trends, enough to take aciton.
quick filtering
Quick filters provide users a starting point for their analysis without needing to dive into our complex filtering systems. They identify the key use cases, and surface them faster.
custom keyword comparison
For more detailed category analysis, users can visualize any keywords against each other. They can do this for up to 10 different keywords in a category.
