# Analyse look-alikes **Analyse Look-alikes** scores everyone in your data by how closely they match your audience, with no size limit. Use it to decide how many look-alikes to target, and to understand them, before you [create a look-alikes audience](). Orbit puts everyone's scores in a new audience, with a cube that shows how many people fall into each band of scores. Add another dimension to the cube to see how the scores vary, for example by region. ## Before you begin First, [find what sets your audience apart](), and [choose the variables to use](). ## Analyse your look-alikes To analyse your look-alikes: 1. On your Find Look-alikes page, select **Find Look-alikes**, then select **Analyse** on **Analyse Look-alikes**. [![The Find Look-alikes choice between Create Look-alikes Audience, an audience with a size limit of the most similar people, and Analyse Look-alikes, an audience without a limit]()]() 2. Enter an **Audience Name**, check the **Look-alikes Score Name**, and select **Create**. [![The New Look-alikes Audience dialogue for an analysis, with Audience Name and Look-alikes Score Name]()]() Orbit creates the analysis in the background, and notifies you when it's ready. Select the notification to open it. The new audience opens on a cube page, with the banded score as its dimension. Select **\+ Add Dimension** to break the scores down further. [![A cube of people by look-alike score bands, with the + Add Dimension button highlighted]()]() > [!NOTE] > > You can't save this cube as a favourite, because its score dimension belongs to this audience only. ## See each person's score To see each person's score, add the score to a data grid: 1. Select **\+ New Page**, and name the page. Under **Solutions**, select **Add** on **Browse Data**. 2. Choose your columns, including the score variable. 3. Select **Add**. The higher a person's score, the more closely they match your original audience. For more about cubes and data grids in a workbook, see [Cubes]() and [Solutions]().