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Wiland Data Appends

Turn incomplete fan records into revenue opportunities.

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Written by Bryce Roessner

TL;DR

We’re launching Wiland Data Appends to give teams and leagues richer insights into who their fans are - unlocking better marketing, stronger sponsorship targeting, and greater platform value. With 50+ new attributes, including demographics, lifestyle interests, purchase behavior, and geography, organizations can fill gaps in fan records and act with greater precision.
Most teams collect only basic contact info, limiting their ability to personalize outreach or attract targeted sponsorships. Historically, data appends have been too costly, complex, or not actionable - but this built-in solution makes them accessible and impactful, helping customers drive more value from every fan interaction.

​Wiland Data Appends Overview

Most teams only capture basic contact info to avoid friction with fans. Without rich fan data, you're guessing at sponsorship targeting, marketing campaigns and premium sales. Fill those critical gaps with 50+ demographic and behavioral insights.

  1. Create campaigns that actually work: Target pet owners for Dog Day, families for kid events.

  2. Show sponsors precise targeting: "8,000 luxury car owners" beats "50,000 fans".

  3. Find your highest-value prospects: Target premium experiences to high-income attendees.

Interested in learning more? Check out this video 👇


Available Categories and Attributes

🏡 Demographics & Household Composition: Captures core individual and household traits that drive personalization.

  • Age of Individual

  • Gender

  • Marital Status

  • Education Level

  • Number of Adults

  • Children in Household

  • Children Present in Household

  • New Parent Indicators

  • Business Owner

📍Location & Economic Status: Details around where fans live and their financial capacity.

  • FIPS County

  • State

  • ZIP Code

  • Household Income

  • Market Value of Home

  • Net Worth Ranges

🏀 Lifestyle & Interests: High-level interests, hobbies, and behaviours that influence engagement and content targeting.

  • Collectibles Interest

  • Sweepstakes/Contests

  • Watch TV Sports

  • Pet Ownership: Dog

  • Travel for Professional Sports

  • Youth Sports and Fitness Camps

📺 Media & Technology Behaviour: Digital behaviour and tech usage, supporting channel selection and digital campaign alignment.

  • Likely YouTube User

  • Major Streaming Services

  • TV Streaming Devices and Accessories

  • Call, Text, and Video Apps

🛍️ Purchase Behaviour & Retail Activity: Overall spending habits and order value across online/offline channels.

  • Retail Purchases: Most Frequent Category

  • Total/Average Dollars per Online & Offline Order (L24)

  • Heavy Transacting Indicator

  • Household Purchases New Vehicles

🚗 Product & Category Buyers: Actual buyer data across specific product categories.

  • Buyer: Men’s, Women’s, and Kids' Apparel

  • Buyer: Sports/Leisure

  • Buyer: Travel/Vacation

  • New Vehicle Type, Make, Model

🎟️ Dining, Sports & Ticketing: Fandom-aligned attributes around food, sports, and events.

  • Fast Food / Midscale / Upscale Restaurants

  • Likely to Frequent Sports Bar Restaurants

  • Online Ticket Resellers

  • Sports: Number of Orders, Total Dollar


Step-by-Step User Guide

  1. From the Segmentation drop-down in the navigation panel, select 'Segment Builder'.

  2. Next, Select ‘Add Filter’.

  3. From the left-hand side of the Segment Builder, ‘Wiland Appends’ will be accessible, along with the variety of filtering categories and fan attributes.
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  4. Once expanded, you’ll have visibility into each append category

  5. You can toggle to keep people who either fulfill, or do not fulfill your selected conditions. Once you’ve made your selections, click ‘Add’
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  6. Your segment is built! You can now continue to add filters or visualization as usual.


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