Task
Gartner used Turba Media to transform conference audience data into actionable intelligence across both the event experience and its media buying strategy.
By conducting a deep analysis of the people attending the conference, Turba Media helped Gartner better understand who its audience was, what topics mattered most to them, what they were engaging with, and what content was most likely to capture their attention.
Those insights were then applied across two critical areas:
1. Conference content and audience engagement
Gartner used audience intelligence to refine conference content around the interests, priorities, and behaviors identified within the audience.
2. Ticket sales and media buying
The same audience intelligence was transformed into a targeted media buying strategy designed to identify and reach high-value prospective attendees.
Challenge
For a major conference, attracting the right audience is only the beginning.
The bigger challenge is understanding that audience deeply enough to answer two important questions:
What should we show them once they arrive?
and
How do we find more people like them?
Traditional event data can reveal registrations, attendance numbers, job titles, companies, and basic demographic information. But these data points alone provide only a limited understanding of what an audience actually cares about.
Gartner wanted to move beyond basic audience segmentation.
The objective was to develop a much deeper understanding of conference attendees and use that intelligence throughout the entire campaign lifecycle — from audience acquisition to the conference experience itself.
Approach
Turba Media provided Gartner with a unified audience intelligence approach. Rather than treating conference content, audience analysis, and media buying as separate activities, the strategy connected them.
Audience Data → Intelligence → Content → Media → Engagement → Optimisation
Turba Media analysed the conference audience to identify patterns, interests, behaviors, topics, affinities, and audience characteristics that could help Gartner understand what was most relevant to attendees.
The analysis created a richer picture of the audience and provided actionable insights that could be used by both the conference and marketing teams.
Instead of asking: “Who registered?” the analysis helped answer: “Who is this audience, what matters to them, and what is most likely to make them engage?”
Phase 1 — Deep Audience Analysis
Turba Media was used to conduct a deep analysis of the conference audience. The objective was to identify meaningful audience signals and transform fragmented data into actionable audience intelligence.
The analysis helped uncover:
- Key audience interests and topics
- Professional priorities
- Content preferences
- Behavioral patterns
- Audience segments and personas
- Areas of strongest audience affinity
- Emerging topics and conversations
- Signals associated with potential conference attendance
- Opportunities for more relevant messaging
- High-value audience characteristics for media activation
This created a detailed audience intelligence layer that could be used throughout Gartner's conference strategy.
Phase 2 — Turning Audience Intelligence Into Better Conference Content
The audience analysis wasn't limited to marketing. Gartner used the insights to help shape the content delivered during the conference.
Instead of relying exclusively on historical performance or assumptions about what attendees wanted to hear, conference planning could be informed by signals coming directly from the audience analysis.
Topics with stronger audience relevance could receive greater emphasis. Messaging could be adapted around audience priorities. Sessions and content could be positioned in ways that more closely matched attendee interests.
The result was a conference experience designed around the audience rather than simply presented to the audience.
Phase 3 — Turning the Same Intelligence Into a Media Buying Strategy
The audience analysis also created another major opportunity.
If Turba Media could identify the characteristics, interests, and behaviors of highly relevant conference attendees, those insights could also be used to find prospective attendees.
Turba Media transformed the audience intelligence into a media buying strategy focused on conference ticket sales.
The campaign used audience insights to inform:
- Audience segmentation
- Prospecting strategies
- Messaging
- Creative direction
- Audience expansion
- Campaign targeting
- Media optimisation
- Conversion strategies
Instead of building the campaign around broad assumptions about who might attend, Gartner could base its acquisition strategy on intelligence derived from the conference audience itself.
From Audience Intelligence to Ticket Sales
The strategy created a continuous audience loop:
- Analyse existing attendees
- Understand their interests and behaviors
- Identify high-value audience characteristics
- Build media audiences around those signals
- Reach prospective attendees
- Drive ticket sales
- Analyse campaign response
- Optimise future audiences and campaigns
This meant audience intelligence became more valuable with every stage of the campaign.
The Turba Media Intelligence Loop
- Discover — Understand the audience beyond basic demographics.
- Analyse — Identify interests, behaviors, affinities, conversations, and high-value signals.
- Activate — Transform intelligence into conference content, audiences, creative, and media campaigns.
- Measure — Track engagement, conversions, media performance, and audience response.
- Optimise — Feed campaign intelligence back into the next audience and content strategy.
- Scale — Apply the successful framework across additional campaigns and events.
Results
The Result: 88% Audience Engagement
The conference achieved an 88% audience engagement level — its highest recorded level. The result demonstrated the value of connecting audience intelligence directly with content strategy.
Better audience understanding → More relevant content → Higher engagement
Rather than viewing audience data simply as a targeting tool, Gartner was able to use it as a strategic input into the conference experience itself.
The Result: 7x ROAS
The media buying campaign generated a 7x Return on Ad Spend (ROAS). For every $1 invested in advertising, the campaign generated approximately $7 in attributed revenue, based on the reported campaign result.
The result demonstrated that audience intelligence could have an impact beyond engagement metrics. It could be directly connected to commercial performance.
Turba Media helped bridge the gap between: Audience research → Audience activation → Media investment → Revenue
One Audience Intelligence Engine. Two Major Outcomes.
The strength of the campaign was not simply the individual results. It was how the same audience intelligence supported two different business objectives.
Event Experience: Audience Intelligence → Content Insights → More Relevant Conference Content → 88% Audience Engagement
Audience Acquisition: Audience Intelligence → Media Audience Strategy → Targeted Ticket Campaign → 7x ROAS
The same underlying understanding of the audience influenced both what Gartner delivered to attendees and how Gartner attracted future attendees.
Business Impact
The Turba Media campaign demonstrated how audience intelligence could become a central part of the conference marketing ecosystem. The campaign delivered measurable results while also establishing a repeatable framework for future campaigns.
- 88% — Audience Engagement: The highest reported engagement level, driven by content informed by deeper audience understanding.
- 7x — Return on Ad Spend: A highly efficient media buying campaign focused on converting relevant audiences into ticket purchasers.
- One Connected Strategy — From Intelligence to Activation: Audience analysis informed conference content, media targeting, messaging, optimisation, and future campaign planning.
From One Successful Campaign to an Ongoing Strategy
The campaign became more than a successful individual activation. It demonstrated a new way to use audience intelligence across the entire conference lifecycle.
Rather than separating research, content strategy, audience building, and media buying, Turba Media connected them into one continuous process.
The success of the initiative led to additional campaigns, allowing the audience intelligence framework to be applied more broadly.
Each new campaign also created an opportunity to generate additional audience signals, improve targeting, refine content, and strengthen future marketing decisions.
Key Results
- Understand conference attendees — Deep audience analysis → Richer audience intelligence
- Improve conference relevance — Audience-informed content strategy → 88% engagement
- Increase ticket sales — Intelligence-driven media buying → 7x ROAS
- Improve targeting — Audience segmentation and activation → More relevant prospective audiences
- Build a repeatable model — Continuous intelligence and optimisation → Additional campaigns followed
Conclusion
The Gartner campaign demonstrated the potential of connecting audience intelligence directly to both experience design and media performance.
Turba Media helped transform audience data into actionable insights that informed what content Gartner delivered, how audiences were engaged, and how prospective attendees were targeted through paid media.
The reported results — 88% audience engagement and 7x ROAS — illustrate the commercial and strategic value of moving from traditional audience targeting toward a continuous intelligence model.
Turba Media turned audience understanding into action.
Understand your audience. Create what matters to them. Reach more people like them. Measure what works. Then make the next campaign even smarter.