Audience & Inventory Discovery Tool
This guide walks you through how to use the Audience & Inventory Discovery Tool in the POKKT DSP. The tool is designed to help users analyse available audience segments and understand inventory supply
What is the Audience & Inventory Discovery Tool?
The Audience & Inventory Discovery Tool is a sales planning and analytics tool that brings together audience data and inventory data into a unified view.
It enables users to:
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Identify high-value audience segments
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Forecast potential campaign reach
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Export structured data for proposals and client presentations
By eliminating manual data collection and back-and-forth with supply teams, the tool helps improve sales efficiency, win rates, and revenue outcomes.
Why Use the Audience & Inventory Discovery Tool?
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Centralised view of audience reach and inventory supply
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Faster and more accurate deal sizing and forecasting
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Data-backed sales pitches
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Easy export for client decks and internal planning
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Reduced dependency on manual data pulls
How to Use the Audience & Inventory Discovery Tool: Step-by-Step Guide
Step 1: Navigate to the Tool
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Log in to POKKT DSP
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From the left-hand navigation menu, click on Audience & Inventory Discovery
The dashboard loads with default data and available filters.

Step 2: Apply Filters
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Use filters at the top of the page to narrow down your audience and inventory view. Filters are multi-select and remain persistent during your session.
Audience Filters
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Country

Inventory Filters
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Ad Format (e.g., Banner, Video, Interstitial)
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App Type
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App Category
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Publisher App
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Operating System
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Country
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State
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City
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Device Type
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Device Name

After selecting your filters, a loading indicator is shown while data is fetched.
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Step 3: Review Audience Insights
This section provides a high-level view of audience reach based on your selected filters. Available Audience Insights
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Audience Reach by Gender Visualised as a Pie Chart to show percentage distribution.
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Audience Reach by Age Displayed as a Bar Chart across age buckets for easy comparison.
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Audience Reach by Persona Displayed as a Table to show percentage distribution.
These charts help quickly validate whether a target audience is large enough for a potential campaign.

Step 4: Review Inventory Insights
This section highlights available supply and scale for the selected filters.
Available Inventory Insights
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Ad Requests by Ad Format
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Ad Requests by Device Type
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Ad Requests by App Type
All insights are dynamically updated based on the applied filters and help assess feasibility and scale for different campaign setups.

Step 5: Dive into Detailed Data
Scroll down to access the Detailed Data Table, which combines both audience and inventory data.
Audience Data Columns
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Country
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Gender
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Age
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Total Gaming Reach
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Total Non-Gaming Reach

Inventory Data Columns
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Ad Format
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App Type
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App Category
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App Bundle ID
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OS Type
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Country, State, City
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Device Brand
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Device Model
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App Name
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Monthly Unique Users
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Average Bid Floor
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Monthly Ad Requests

Table Features
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Search bar to find specific apps, devices, or ad format
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Responsive layout for large datasets
Step 6: Export Data
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Click the Download button above the table
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The system generates a CSV file based on the currently applied filters

FAQs
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Is this data real-time? No. The dashboard uses aggregated and processed data every month, optimised for fast and reliable output.
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What time range does “Monthly” data represent? “Monthly” metrics represent average monthly volumes derived from recent historical data, not a fixed calendar month unless explicitly stated.
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Can I use multiple filters at once? Yes, All filters are multi-select and can be combined to create highly specific views. Be mindful that applying too many filters may reduce available data.
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What happens if no data is returned?
If your selected filters are too restrictive:
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The dashboard will show a “No Data Found” message
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Adjust filters to broaden the criteria
The new targeting rules take effect immediately after saving.
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