There is a specific gap worth hunting in every Amazon account: search queries where your products already convert well, but which you are not bidding on at all.

You are winning those sales organically. Adding a keyword lets you win more of them — and if a competitor finds the query first, you start losing the ones you had.

TrackIQ has a view built for exactly this.

[Watch the walkthrough](https://kb.trackiq.com/kb-assets/kbvideo-unbid-queries-explainer-7e7dba5e.mp4)

*Prefer to watch? A minute on finding and claiming unbid demand.*

## **Where it is**

**Analytics → Search Query Performance**, then scroll to **SQP Analysis** and choose the **SQP & Keywords** tab.

![The SQP Analysis table with the SQP & Keywords tab](/kb-assets/shot-sqp-analysis-e8238b.png)

The other tab, **SQP & Search Terms**, matches queries against the search terms your ads actually served on. **SQP & Keywords** matches them against the keywords you are bidding on. That difference is the whole point: a query can produce sales through a broad match or organically without ever appearing as a keyword you chose.

## **What you are looking for**

A query with **all four of these**:

1. **Meaningful search volume** — enough demand to be worth the effort.
2. **A green Funnel Score** — you beat the market on conversion for this query.
3. **Purchase share at or above click share** — people who click you, buy.
4. **No keyword bidding on it.**

The first three say the query converts for your catalogue. The fourth says you are not paying to be there.

Set the term filter to **Generic** while you do this. Branded queries you already win, and competitor queries are a different decision entirely.

## **The shortcut**

The **Recommended actions** section at the bottom of the same screen does this analysis for you and files the results under **Add as keyword**.

![Recommended actions, filtered by action type](/kb-assets/shot-sqp-recommended-168c63.png)

Each row states the evidence in the **Why** column and the action in **Suggestion**. Start there, then use the Analysis table to check anything you want to see the week-by-week trend for.

## **Ask Aria instead**

If you would rather not read a table, ask:

> *Which search queries have high purchase share but no keyword bidding on them, over the last six weeks?*

Aria queries the same Search Query Performance data. Give it a date range, because SQP is weekly and the answer changes by week.

## **What to do with what you find**

**Add the query as an exact-match keyword** in a campaign that already contains the product that converts for it. Exact rather than broad, because you know the specific query works — you do not yet know its neighbours do.

**Start the bid modestly.** You already rank organically for this query. The aim is to capture more of it, not to pay top of search for a position you partly hold.

**Check back in two weeks.** SQP publishes weekly, so two weeks is the first honest read. Look for click share rising without purchase share falling.

## **The reverse case, worth the same attention**

While you are in this view, look for the opposite: queries where you are **spending** but the Funnel Score is red. You are buying clicks on searches your catalogue does not convert. Those appear under **Cut bids** in Recommended actions.

Finding demand you are missing and stopping spend you are wasting are the same exercise, done in the same table.

## **Related**

- [**SQP & Search Terms: Matching Demand to What You Actually Ran**](https://kb.trackiq.com/hc/knowledge-base/articles/sqp-and-search-terms) — the sibling tab, matched against what you ran.
- [**Harvest Winning Search Terms into Exact-Match Campaigns**](https://kb.trackiq.com/hc/knowledge-base/articles/harvest-winning-search-terms) — turning a finding into a keyword.
- [**Generic, Branded and Competitor Terms**](https://kb.trackiq.com/hc/knowledge-base/articles/generic-branded-and-competitor-terms) — the chips that filter the table.
- [**Keyword Research from Search Query Performance**](https://kb.trackiq.com/hc/knowledge-base/articles/keyword-research-from-sqp) — the same data, read for a relaunch.