Data-Driven Audience Growth & Revenue Optimization
Behaviour-led segmentation and engagement optimization for revenue growth Context Alumni Perks engagement data was underutilized, with inconsistent profile completion and limited visibility into user behaviour. This created barriers to developing targeted affinity revenue strategies and reduced the effectiveness of fundraising outreach, particularly within higher-value alumni segments. The opportunity was to better understand audience behaviour and transform existing engagement data into a structured system that could support segmentation, acquisition, and revenue growth. Strategy A data-first approach was used to uncover behavioural patterns within the Alumni Perks user base and identify opportunities for targeted engagement and revenue optimization. Analysis focused on understanding how different segments interacted with the platform and where engagement was strongest, weakest, or underdeveloped. This insight was then used to define a strategic target segment (35+ alumni), identified based on engagement behaviour and giving capacity indicators. Rather than relying on broad acquisition tactics, the strategy focused on: aligning partner selection with high-value demographic segments increasing data quality through structured engagement design using behavioural incentives to improve profile completion converting engagement activity into a foundation for affinity revenue growth Execution Conducted full export and analysis of user data to identify gaps in contact information and engagement behaviour Analyzed population trends including age, device usage, perk interactions, contest participation, email engagement, and click behaviour Identified strategic target segment (35+ alumni) based on engagement and giving capacity indicators Secured and onboarded partners aligned to target demographic (including Source for Sports, Grand Theatre, Stratford Theatre, Wild Birds Unlimited) Designed co-branded giveaway campaigns using existing budget to drive targeted engagement without increasing acquisition costs Converted alumni within partner ecosystems into active PERKS users through targeted outreach and incentive alignment Implemented structured participation requirements tied to contests and giveaways to increase fully completed profile rates Introduced physical fulfillment (mail-based rewards) to reinforce engagement behaviour and improve profile completion quality Impact Grew registered users from 35,798 → 39,531 within one year Increased representation of higher-value alumni segments: 31–35: 15.6% → 17.4% 36–40: 13.3% → 14.1% 41–45: 6.0% → 6.5% 46–50: 6.8% → 7.2% Expanded engagement among older alumni segments (51+) including +152 (51–55), +202 (56–60), and +308 (65+) new users Improved overall data quality through increased fully completed alumni profiles Strengthened foundation for affinity-based fundraising and targeted alumni outreach Transitioned Alumni Perks from a passive benefits platform into a data-driven engagement and segmentation system Delivered a 46% increase in affinity revenue within the year , directly linked to improved segmentation, engagement quality, and data completeness Insight This initiative demonstrated that engagement platforms become significantly more valuable when treated as behavioural systems rather than static benefits. By using data to identify high-value segments, aligning partner ecosystems to those segments, and designing incentives that reinforce profile completion, engagement activity was successfully converted into measurable revenue growth. It reinforced a core principle that appears across all case studies: when data is used to understand behaviour, it becomes a tool for designing systems that drive both engagement and financial impact.



