Boundless Learning
How Boundless Learning Consolidated Data to Drive 30% Marketing Efficiency Gains
665→85
Columns consolidated into a single view
30%
Marketing efficiency gains
Automation
Of paid media bidding enabled
Boundless Learning is a global leader in online program management with over 30 years of experience innovating in the online learning space. The company has launched 450+ academic programs, achieved a 95% student retention rate, and empowered more than 90,000 graduates. With a team of 3,000, Boundless Learning partners with universities around the world to expand access to higher education through workforce-aligned, personalized learning experiences.
The Challenge
The data was there. The signal wasn't.
Boundless Learning runs a complex, multi-channel enrollment operation — CRM, BigQuery, LinkedIn, Meta, and Google Ads all feeding in simultaneously. At that scale, 100M rows of data don't give you answers automatically. Lead-level attribution was spread across sources. Paid channel performance was hard to connect to actual enrollment outcomes.
The team needed a single, unified view to plan budgets, optimize bidding, and make AI work — without rebuilding their infrastructure from scratch.
The Solution
Clean data, faster decisions, and a paid media strategy that compounds.
e:cue integrated every source Boundless Learning relied on into one context-rich dataset ready for AI. The transformation worked across three layers:
Unified touchpoint graph : 15 joins deployed per lead, stitching CRM, BigQuery, LinkedIn, Meta, and Google Ads into a single view of every interaction.
Column consolidation : 665 raw columns compressed into 85 clean, context-rich fields, with null rates addressed and unstructured call notes parsed into signal.
Enrollment attribution : Lead-level attribution reconnected to application starts and program outcomes, so every paid channel could be evaluated on true downstream impact.
Cue in Action
Clean data, executive answers in seconds
With the unified view flowing into Cue, the Boundless Learning team could ask natural-language questions and get a full executive summary back, complete with program-by-program breakdowns and actionable recommendations to act on next.
The Results
From data chaos to a redefined marketing playbook
With clean, unified data and conversational access through Cue, Boundless Learning rewrote how the team plans, bids, and pivots across paid media.
AI-ready foundation
Clean, context-rich columns unlocked the AI-native initiatives needed to scale the enrollment team without adding headcount.
30% efficiency
30% marketing efficiency gains from reallocating spend toward the programs and channels driving real application starts.
Automated bidding
Successful automated bidding workflows deployed across paid channels, reducing speed to pivot when performance shifts.
Redefined planning
New playbook for marketing budget planning, grounded in lead-level attribution instead of channel-level guesswork.
Company
Boundless Learning
Industry
EdTech
Use Case
Paid Media Optimization, Multi-Channel Attribution, Automated Bidding
Data Complexity
High