Proof
Evidence
Intent HQ measures everything it claims. The numbers below come from real deployments, controlled tests, and independently verified outcomes. Not projections. Not estimates. Proof.
Relevance is the product. Evidence is the standard.
Performance
Measurable commercial impact
9x
HIGH9x campaign response uplift
CustomerIndian financial services provider
SectorFinancial Services
Metriccampaign_conversion_uplift
BaselineStandard demographic targeting
MethodA/B test, 6-month measurement period. Baseline: standard demographic targeting.
Sample4.2M customers
PeriodQ3 2024 – Q1 2025
Last Verified2025-02
136%
HIGH136% programme engagement increase
CustomerEuropean loyalty platform
SectorLoyalty & Rewards
Metricsubscriber_reach_increase
BaselinePre-IntentOne engagement baseline
MethodBefore/after comparison with control group. Baseline: pre-IntentOne engagement baseline.
Sample8.7M loyalty members
PeriodQ1 2024 – Q4 2024
Last Verified2025-01
185%
HIGH185% click-through rate improvement
CustomerBrazilian beauty retailer
SectorRetail
Metricctr_improvement
BaselineStandard time-based campaign triggers
MethodControlled A/B test with behavioural timing vs scheduled sends. Baseline: standard time-based campaign triggers.
Sample1.2M app users
PeriodQ2 2024 – Q4 2024
Last Verified2025-01
36x
HIGH36x conversion uplift
CustomerNorth American telco
SectorTelecommunications
Metricconversion_rate_improvement
BaselineDemographic segment targeting
MethodBehavioural intent targeting vs control segment. Baseline: demographic segment targeting.
Sample28M subscribers
Period2023 – 2025
Last Verified2025-02
2.56x
HIGH2.56x conversion rate improvement
CustomerAsian beauty retailer
SectorRetail
Metricconversion_vs_control
BaselineStandard CRM segmentation
MethodHead-to-head campaign comparison over 6 months. Baseline: standard CRM segmentation.
Sample3.1M customers
PeriodQ3 2024 – Q1 2025
Last Verified2025-02
Scale
Operating at population level
300M+
HIGH300M+ profiles managed
CustomerAggregate across deployments
SectorCross-sector
Metricprofiles_processed
MethodSum of unique subscriber profiles processed across all production deployments. Deduplicated by operator. Includes active and dormant profiles within operator-defined retention windows.
PeriodCumulative to March 2026
Last Verified2026-03
$85B
HIGH$85 billion of customer value underpinned
CustomerAggregate across client base
SectorCross-sector
Metriccustomer_value_managed
MethodSum of estimated customer lifetime value across all active operator deployments, calculated using operator-provided ARPU and average tenure data.
PeriodCumulative to March 2026
Last Verified2026-01
49
HIGH49 patents across privacy, Edge AI, and personalisation
Customer
SectorTechnology
Metricpatent_count
MethodCount of granted patents and published applications across US Patent and Trademark Office and European Patent Office. Categories: Privacy-Preserving AI (18), Edge AI (14), Behavioural Intelligence (12), Personalisation (5).
Period2014–2026
Last Verified2026-02
0
HIGHZero data breaches since founding (2014)
Customer
Sector
Metricdata_breach_count
MethodNo confirmed data breaches since company founding in 2014. Verified through annual SOC 2 Type II audits and continuous security monitoring.
Period
Last Verified2026-02
£50,000
HIGH£50,000 anonymisation challenge — unclaimed
Customer
Sector
Metricanonymisation_challenge
MethodStanding public challenge: £50,000 reward for anyone who can re-identify individuals from Intent's anonymised behavioural data. Open since 2019. No successful claim to date.
Period
Last Verified2026-03
Privacy Guarantees
Structural privacy, not procedural compliance
£50,000 Anonymisation Challenge
UNCLAIMEDAn open challenge to re-identify any individual from Intent HQ anonymised data outputs. The prize has been unclaimed since 2023. If our privacy architecture can be broken, we want to know.
Since2023
Zero data breaches
Twelve years of processing behavioural data at population scale. No breach. Not because we have been lucky. Because the architecture does not transmit, store, or expose personal data in a form that can be compromised.
Since2014
Verified bySOC 2 Type II annual audit
Intent HQ treats privacy as a design problem, not a legal afterthought. The architecture does not transmit, store, or expose personal data in a form that can be compromised. Deep Privacy
Intellectual Property
49 patents granted
A decade of investment in privacy-preserving AI, edge intelligence, and behavioural modelling.
18
Privacy-Preserving AI
- On-device behavioural inference
- Differential privacy for interest taxonomies
- Privacy Twin generation
14
Edge AI & On-Device
- Sub-second behavioural classification
- Federated model updates
- Device-local intent detection
12
Behavioural Intelligence
- 16,000-category interest taxonomy
- Temporal intent scoring
- Cross-domain affinity mapping
5
Personalisation
- Blind personalisation at scale
- Moment-of-need activation
- Behavioural context fusion
Compliance
Independently certified
SOC 2 Type II
Full platform — data handling, access controls, encryption
Status: Current
ISO 27001
Information security management system
Status: Current
Methodology
Every metric published on this page is drawn from a controlled test, a verified deployment outcome, or an independently audited figure. Intent HQ does not publish projections or modelled estimates as evidence.
Where baselines are cited, they represent the pre-IntentOne condition measured under the same methodology. Sample sizes reflect the population under active management during the measurement period.