Enhancing AudienceStream with Real-Time, Signal-Level Intelligence for Vodafone
Vodafone has successfully established Tealium AudienceStream as a central data orchestration platform across web, app, and CRM. With this foundation in place, the opportunity now lies in extending this capability with Intent Edge to capture deeper, real-time, and context-rich behavioural signals—especially valuable in a telco environment where churn, upsell, and service quality are tightly linked to network experience.
Intent Edge helps uncover the “why” behind the “what”, whether a user is a churn risk contract customer, a high value data roamer, or an upgrade ready SIM only subscriber. Even in signal poor environments, Intent Edge infers high fidelity motivations, enabling Vodafone to optimise targeting, reduce acquisition cost, and drive ARPU with smarter, context aware offers – with all messages delivered at the optimum time based on handset behaviours, typically delivering 50%+ CTR improvements.
By embedding the Intent Edge SDK alongside Tealium, Vodafone can capture signal strength, sensor data, and app-level interactions directly from devices. These privacy-safe signals are modelled on-device to infer motivational traits, network satisfaction, and churn risk—all in real time. This enhances AudienceStream’s segmentation and personalisation with predictive, context-aware insights while aligning to Vodafone’s strategy around AI, real-time engagement, and unified data architecture.
Crucially, the Intent Edge SDK also enables real-time in-app engagement at the most contextually relevant moment—known as “best moment to engage”. This functionality dynamically triggers content or messages when users are most receptive, based on their live device and behavioural signals. It typically delivers 2x–6x increases in click-through rates and 2x–3x increases in conversion rates, turning passive moments into high-impact engagements.
Why This Matters for Vodafone
Vodafone’s CDP strategy is already driving measurable gains across B2B and B2C use cases, including:
25% conversion uplift and 10% lead generation growth
Real-time decisioning via call centres and sales teams
Unified data lake architecture enabling predictive and generative AI
Yet a key gap remains: insight into real-world user context and experience, particularly in data-sparse environments or when offline. Intent Edge fills this gap by providing:
Real-time signal strength insights (cellular and Wi-Fi)
App usage patterns and in-app navigation
Movement and network switching behaviour
Inferred intent like churn risk, upgrade readiness, or broadband suitability
Dynamic messaging when user receptivity is highest
This enables Vodafone to deliver smarter, moment-aware engagement while feeding real-world inputs into its AI and segmentation models.
Technical Overview of the Integration
1. Fill Data Gaps using Handset Behavioural Data
Tealium SDK continues capturing digital events for identity stitching and consented event flows.
On-device behavioural modelling for motivational traits
Real-time detection of best moment to engage for message delivery
These enriched intent signals flow into Tealium EventStream and are mapped into Visitor Attributes in AudienceStream for use in:
Dynamic micro-segmentation
Predictive churn and upgrade models
Campaign triggers and personalisation logic
Contextually timed in-app messages
Push notification sent at the best moment to engage
The integration is privacy-first, fully consent-aware, and aligns with Vodafone’s goal of 100% real-time data coverage by FY26.
Strategic Value of Intent Edge for Vodafone
Network-Aware Retention and Service Interventions
Identify customers experiencing consistent low signal quality at home or work
Detect SIM hoppers and frequent network switchers
Trigger proactive care or retention journeys based on poor network experience
Contextual Upsell and Upgrade Readiness
Surface device upgrade offers based on signal capability (e.g. 5G ready in strong signal areas)
Identify high mobile data users who may benefit from broadband bundles or data plan upgrades
Personalise cross-sell of Wi-Fi boosters or mesh systems based on indoor signal strength
Precision Acquisition and Media Spend Efficiency
Focus acquisition spend in regions with strong signal and positive network perception
Reduce waste by excluding low-intent users in poor signal areas
Tailor creative and offers by local network quality context
Enriched AI Models and Personalisation Engines
Feed Vodafone’s generative AI and segmentation models with real-world context
Align to advanced customer journey segmentation by industry vertical and lifecycle stage
Support API-driven nudging and personalisation for sales and care
Real-Time Best Moment Engagement
Leverage device signals to detect optimal moments for messaging
Deliver time-sensitive offers or support at moments of highest receptivity
Drive up to 6x CTR and 3x CVR uplift through precision-timed interventions
Privacy, Governance & Control
Intent Edge is architected to align with Vodafone’s data governance and regulatory requirements:
On-device processing: no raw signal or behavioural data leaves the device
Consent-aware: respects dynamic user opt-in models
Seamless integration into AudienceStream’s consent governance model
This ensures data usage remains compliant while unlocking rich behavioural intelligence.
Activating messages with optimum behavioural context, at the best moment, to deepen relevance and engagement.
4. Real-Time Signal Feedback Loop
Value: A self-improving data layer that supports Vodafone’s roadmap to embed real-time nudges and API-driven customer journeys across sales and service.
Today: AudienceStream activates segments across paid media, onsite, and CRM channels.
With Intent Edge: Campaign outcomes (clicks, uninstalls, conversion) feed back into Intent Edge models to optimise future targeting and intent scoring.
Expected Business Impact
This approach aligns with Vodafone’s architecture vision of a unified data lake on GCP, where CDP becomes the transformation and activation layer. Intent Edge enhances this by enriching customer context directly at the edge—ready to feed into AI workbenches, call centre tooling, or onsite experience platforms like Medallia.
Suggested Next Steps
Discovery Workshops
Joint session with Tealium, and Intent HQ to map telco use cases aligned with Vodafone business goals
Follow up session with Vodafone, Tealium, and Intent HQ to identify value and qualification to progress
With good alignment and agreement the below steps can take place as outcomes or in parallel
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