The SQP dashboard opens on two tabs, **Account** and **Products**, and they answer different questions with the same numbers. Reading the wrong one is how people conclude their share is fine when one product is quietly losing its category.

[Watch the walkthrough](https://kb.trackiq.com/kb-assets/kbvideo-acct-vs-products-explainer-e2b826a2.mp4)

*Prefer to watch? Eighty-three seconds on what changes when you switch tabs, and why the denominator is the whole story.*

## **The difference in one line**

**Account** measures your **brand** against the market across every tracked query.

**Products** measures **one ASIN at a time** against the market on the queries that reach it.

The chart caption changes with the tab, which is the clearest tell: *brand funnel share lines* on Account, *product funnel share lines* on Products.

## **Account — the portfolio view**

![Account-level shares across every tracked query](/kb-assets/shot-sqp-kpis-49353d.png)

Five tiles, all computed across your whole tracked query set for the window:

| Tile | Reads |
|---|---|
| **Click Share** | your clicks as a share of the market's, with the change in **pp** |
| **Purchase Share** | your purchases as a share of the market's |
| **Keywords Tracked** | how many queries, and how many are **new** |
| **PPC on Tracked Queries** | SP + SB search-term spend, with its ACoS |
| **Actions** | how many recommendations are waiting, split by type |

**This is the tab for "how are we doing?"** — the one you read weekly, and the one that belongs in a report.

**Watch the units.** Share changes are in **percentage points**, not percent. A move from 2.12% to 2.28% is **+0.16 pp**, not +7.5%. Reporting it the second way overstates it dramatically.

## **Products — the diagnostic view**

![The same tiles, recomputed for one ASIN](/kb-assets/shot-b34-prod-top-db22f7.png)

Switch to Products and a **product pager** appears — prev, next, a dropdown, and a position counter like **1/33** — with the number of queries in the window beside it.

Every tile then recomputes for that one ASIN. A product with a 1.52% click share sits inside an account at 2.12%: the account figure is an average, and this is one of the things being averaged.

**This is the tab for "why?"** You come here after Account tells you something moved.

## **Why the two disagree, and what that means**

The account figure is a blend. Divergence between the tabs is the finding, not an error:

| Pattern | Reading |
|---|---|
| Account flat, one product falling sharply | a product problem hidden by the average |
| Account falling, all products falling similarly | something account-wide — brand, price, category |
| Account rising, driven by one product | concentration risk — check what happens if it stocks out |
| Product strong, account weak | the rest of the catalog is dragging |

**The first row is the one that costs money**, because nothing on the Account tab will ever show it. A catalog of thirty products can absorb one falling badly without the headline moving at all.

## **How to use them together**

**Weekly, read Account.** Click share and purchase share against last week. That is your five-minute check.

**When something moves, open Products.** Page through the ASINs and find the ones that moved most. The pager makes this quicker than it sounds — you are scanning for outliers, not reading each one.

**When you find the product, open the query.** Clicking a query gives its funnel against the market and the ASIN split. That is where the cause lives. See [**Search Query Cart Analysis: Why a Query Doesn't Convert**](https://kb.trackiq.com/hc/knowledge-base/articles/search-query-cart-analysis).

Account → product → query is the same narrowing discipline as the rank triage playbook, and it works for the same reason: averages hide, specifics explain.

## **The Actions tile is a shortcut**

On both tabs, **Actions** counts the waiting recommendations and breaks them down by type — Fix listing, Cut bids, Scale up, Fix conversion, Add as keyword.

On the **Products** tab this is unusually useful, because it tells you what kind of problem a specific ASIN has before you read a single chart. A product whose actions are all *Cut bids* has an efficiency problem; one whose actions are all *Fix listing* has a conversion problem. See [**Recommended Actions: The Queries That Need a Decision**](https://kb.trackiq.com/hc/knowledge-base/articles/sqp-recommended-actions).

## **What not to conclude**

**A low share is not automatically bad.** In a large category, single-digit share is normal. Read the **direction** and the **rates**, not the absolute.

**Products is not your whole catalog.** It covers ASINs with tracked query data. A product with no SQP data will not appear.

**The market is everybody.** All sellers on those queries, not just your competitors.

**SQP is weekly.** Both tabs report weekly cohorts across the window, so compare week to week. See [**SQP Is Weekly: Reading Week Cohorts Correctly**](https://kb.trackiq.com/hc/knowledge-base/articles/sqp-is-weekly-reading-week-cohorts).

## **Related**

- [**Understanding Search Query Performance**](https://kb.trackiq.com/hc/knowledge-base/articles/understanding-search-query-performance) — the dashboard overall.
- [**Impression, Click, Cart-Add and Purchase Share**](https://kb.trackiq.com/hc/knowledge-base/articles/impression-click-cart-purchase-share) — what the four shares mean.
- [**Search Query Cart Analysis: Why a Query Doesn't Convert**](https://kb.trackiq.com/hc/knowledge-base/articles/search-query-cart-analysis) — the level below Products.
- [**Triage a Rank Drop Across Your Top Keywords**](https://kb.trackiq.com/hc/knowledge-base/articles/triage-a-rank-drop) — the same narrowing discipline.