# Data Overview

Quora Ads in Coupler.io gives you access to two main data entities: ad performance analytics and lead generation form submissions. Here's a breakdown of what's available in each.

## Entities

| Entity                           | Best for                                                     |
| -------------------------------- | ------------------------------------------------------------ |
| Report: Ad analytics             | Campaign performance reporting, spend tracking, ROI analysis |
| List of recently collected leads | Lead follow-up, CRM sync, lead quality analysis              |

## Report: Ad analytics

#### Dimensions

| Dimension option | What it shows                                        |
| ---------------- | ---------------------------------------------------- |
| Account          | Totals rolled up across all campaigns in the account |
| Campaign         | Performance broken down per campaign                 |
| Ad set           | Performance broken down per ad set                   |
| Ad               | Performance broken down per individual ad creative   |

#### Time granularity

| Option      | What it shows                                             |
| ----------- | --------------------------------------------------------- |
| Totals only | One row per dimension for the entire selected period      |
| Daily       | One row per dimension per day — useful for trend analysis |

#### Report period options

| Option       | Description                                              |
| ------------ | -------------------------------------------------------- |
| Today        | Current day's data                                       |
| Yesterday    | Prior day's data                                         |
| This Month   | Month to date                                            |
| Last Month   | Full prior calendar month                                |
| Last 7 Days  | Rolling 7-day window                                     |
| Last 14 Days | Rolling 14-day window                                    |
| Last 30 Days | Rolling 30-day window                                    |
| All time     | Full account history                                     |
| Custom       | Use the date picker to set a specific start and end date |

#### Metrics (Ad analytics)

| Metric              | Description                       |
| ------------------- | --------------------------------- |
| Impressions         | Number of times your ad was shown |
| Clicks              | Number of clicks on your ad       |
| CTR                 | Click-through rate                |
| Spend               | Total amount spent                |
| CPC                 | Cost per click                    |
| CPM                 | Cost per thousand impressions     |
| Conversions         | Total conversion actions recorded |
| Conversion rate     | Conversions divided by clicks     |
| Cost per conversion | Spend divided by conversions      |

## List of recently collected leads

#### Fields

| Field           | Description                                                                   |
| --------------- | ----------------------------------------------------------------------------- |
| Lead ID         | Unique identifier for the lead submission                                     |
| Form name       | Name of the lead gen form that captured the lead                              |
| Submission date | Date and time the lead was submitted                                          |
| Lead fields     | Responses to form questions (name, email, etc., depending on your form setup) |

{% hint style="info" %}
You can filter leads by specific lead gen forms using the **Lead gen form(s)** parameter — useful if you run multiple forms and only want data from one.
{% endhint %}

## Common metric combinations

* **Spend + Conversions + Cost per conversion** at the campaign level — classic ROI view
* **Impressions + CTR + CPC** at the ad level with daily split — creative performance over time
* **Account-level totals** for a quick top-line spend summary across a billing period
* **Lead submissions + form name** filtered to a specific form — for CRM or sales handoff workflows

## Use cases by role

{% tabs %}
{% tab title="Marketers" %}

* Pull daily ad performance into Google Sheets to build a live Quora Ads dashboard in Looker Studio
* Append Quora Ads data with Google Ads or Meta Ads in a single data flow for cross-channel spend reporting
* Export leads from Quora lead gen forms into a spreadsheet for quick sales follow-up
* Send campaign performance data to ChatGPT or Claude to generate optimization recommendations automatically
  {% endtab %}

{% tab title="Performance analysts" %}

* Use the daily split + ad-level dimension to analyze creative fatigue and performance trends over time
* Join ad analytics data with CRM data in BigQuery to calculate true cost-per-acquisition
* Aggregate account-level spend across multiple ad accounts using the Append transformation for consolidated budget tracking
* Use the custom date range to pull historical data and compare period-over-period performance
  {% endtab %}

{% tab title="Sales & lead teams" %}

* Schedule automatic exports of recently collected leads into Google Sheets for daily review
* Filter lead exports by specific lead gen forms to route leads to the right sales rep
* Append lead data from multiple ad accounts into one master sheet for unified lead tracking
  {% endtab %}
  {% endtabs %}

## Platform-specific notes

* The **List of recently collected leads** entity pulls *recently* collected leads — Quora's API limits how far back lead data is available, so use scheduled refreshes to avoid gaps
* When using **All time** as the report period at the **Ad** dimension level with daily splits, the query can be large — expect longer load times for accounts with extensive history
* Ad-level daily data is the most granular option available; sub-day breakdowns are not supported
* Advanced filters are available for the Ad analytics entity and can be used to narrow results by specific campaigns, ad sets, or ads when combined with daily splits