Segmenting Amazon Ads Bulksheet Data for Better Insights

Start with campaign-level segmentation

Begin by filtering the sheet to a single campaign or a small campaign group. This removes unrelated ad groups, targets, and search terms so you can compare daily spend, clicks, and orders without distraction. Campaign-level segmentation works especially well when you need to separate branded and non-branded traffic or review a limited-time promotion.

• Filter to one campaign or a related set of campaigns
• Compare spend and order trends within that group
• Flag campaigns that need deeper keyword work before moving on

Group by product and keyword to find patterns

Once the campaign view is clear, group by ASIN or keyword. Product-level groups reveal which items are consuming ad spend without converting. Keyword-level groups highlight search terms that repeatedly appear with low orders or high wasted spend. These groups often become the basis for bid reductions or negative keyword decisions. For teams that want to speed up that process, Amazon Negative Keyword Tool by Todoza can analyze imported search term data and flag budget-draining queries.

• Group by ASIN to see which products drive spend without returns
• Group by keyword or target to find repeat low performers
• Separate high-volume terms from long-tail terms before reviewing

When this matters

Segmentation is most valuable when a bulksheet includes multiple campaigns, ad groups, marketplaces, or accounts. A small number of inefficient keywords can hide inside healthy totals if you only review the file at the summary level. Splitting the data first lowers the risk of making broad changes that hurt profitable segments. This is particularly useful before adjusting bids, adding negative keywords, or reallocating budget.