Boost college sporting event ticket sales by targeting potential high-value customers
Boost college sporting event ticket sales by targeting potential high-value customers
Paid advertising
Higher ed

Boost college sporting event ticket sales by targeting potential high-value customers

Create ads that target people who most resemble high-value, loyal fans, such as folks who attend 10 or more games in a season, highly engaged alumni, and people shopping your team’s merch store.

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Boost college sporting event ticket sales by targeting potential high-value customers

Create ads that target people who most resemble high-value, loyal fans, such as folks who attend 10 or more games in a season, highly engaged alumni, and people shopping your team’s merch store.

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Why implement this use case?

  • Many paid media channels (like Facebook or TikTok) are more cost-effective when they can target a larger audience or use their lookalike algorithm. Selecting criteria that are too specific or simply targeting an uploaded list can drive up the cost per impression and result in higher CAC. 
  • Targeting potential high-value customers will improve overall customer lifetime value (CLV). Improving this metric ultimately grows business revenue and further improves marketing ROI.
  • By targeting people who resemble existing loyal fans, you can build a larger pool of similar fans. This group is likely to spend money on more than just tickets and concessions — they may also purchase team gear and souvenirs, helping increase your revenue sources.

Goal of this use case

Increase revenue from University sporting events and reduce CAC by spending ad dollars on people who resemble your most loyal fans.

Tools and platforms you need

1

Data Source

Data source, such as a cloud data warehouse like BigQuery, Snowflake, or Redshift.

2

Data Activation

Data activation tool, such as a composable CDP (like GrowthLoop).

3

Ad Platform Destination

Ad platform destination, such as Google Ads, Facebook ads, LinkedIn ads, Bing ads, etc.

Data sources you need

List the data sources needed for this particular use case (such as ticket purchases, memberships, etc.)

Customer profiles

Tickets

Alumni donor lists

College souvenir store sales data

How to set up this use case in GrowthLoop

Step 1

Add your data warehouse as a Source in GrowthLoop (or your data activation tool).

Step 2

Create your customer table in your data warehouse. Ensure that it includes fields for transaction history, alumni status, and any gear shop purchase data you may have.
Learn more about preparing customer data for GrowthLoop
.

Step 3

Activate your paid advertising tool (Google Ads, Facebook, etc.) as a destination.

Step 4

Create an audience in GrowthLoop.

Step 5

Apply filters for customers who purchased ten or more tickets to college games.

Step 6

To narrow the audience further, consider applying filters for customers who were school alumni OR customers who’ve purchased team gear from the college store. You could also filter to include customers who were acquired through the channel you plan to launch the campaign (such as customers you acquired through Instagram for an Instagram Ads campaign).

Step 7

In the Create Export view, search for your destination and click select. You can double-check a successful export to your destination by navigating to your audience viewer Exports tab within your GrowthLoop app to view the activity tracker and make any scheduling changes you may need.

Step 8

Log into your paid advertising platform and navigate to your audiences to confirm that it received and populated your new audience. Depending on the platform you use, it may take up to 48 hours to populate an audience.

Step 9

After confirming the customer audience list synced with your paid advertising platform, create a lookalike audience using this customer list as a seed audience. Here’s how to create a lookalike audience in Google Ads and how to create one on Facebook.

Step 10

Create and launch a paid advertising campaign promoting special ticket package deals or similar offers, and target the campaign to this lookalike audience.

Step 11

Use your paid advertising platform to measure success through platform metrics like CPM and click-through rates.

Step 12

Use GrowthLoop to measure the campaign's success based on key end results like revenue, and determine what adjustments you can make to future campaigns to increase revenue and ROAS.

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