Marketing & Growth
What Technspire builds for marketing and growth teams: campaign automation, personalisation, content pipelines with brand guardrails, attribution analytics, and the data plumbing underneath. This page describes offerings, not past projects. Talk to us about applying them in your organisation.
offerings, not client case studies
Marketing has more channels and more measurement noise than ever, and privacy regulation has removed the easy attribution shortcuts. AI changes the economics of personalisation, content production, and analytics, but only when the data plumbing underneath is in place. The hard part is rarely the model. It is the integration with the CDP, the marketing automation platform, the analytics warehouse, and the guardrails that keep generated content on brand.
Technspire builds the parts marketing teams actually run in production: content pipelines with review steps, segment-aware campaign orchestration, attribution that works within consent boundaries, and journey analytics that tell you when to intervene.
Pipelines that generate email copy, ad variants, landing pages, and social posts grounded in your brand voice and product documentation via retrieval, not fine-tuning. Human review gates where the stakes warrant them. Multi-language output for cross-market campaigns.
Stack: Azure OpenAI, Azure AI Search for brand-knowledge retrieval, Azure Translator, Logic Apps for approval workflows.
Segment-aware automation across email, SMS, push, and on-site surfaces. Personalisation models that respect consent, handle cold start honestly instead of guessing, and plug into the CDP and marketing automation platform you already run.
Stack: Microsoft Dynamics 365 Customer Insights, Azure Machine Learning for ranking models, Azure Cosmos DB for journey state, Logic Apps for orchestration.
Multi-touch attribution for the post-cookie reality: server-side event collection, identity resolution inside your consent boundaries, and modelling that produces usable signal even where data is sparse. Dashboards built for the people who make the decisions.
Stack: Microsoft Fabric, Azure Synapse, Azure Machine Learning for modelling, Power BI for dashboards.
Behavioural segmentation, churn prediction, and propensity modelling on top of your CDP. Real-time triggers for the moments where an intervention actually moves the metric, and nothing for the moments where it does not.
Stack: Microsoft Dynamics 365 Customer Insights, Azure Machine Learning, Azure Event Grid for real-time triggers.
Marketing AI in Europe operates under GDPR, the ePrivacy Directive, the Digital Services Act, and the EU AI Act transparency rules for chatbots and AI-generated content. We design consent flows, server-side tracking, and AI-content labelling so the obligations are met by the architecture, not by patching afterwards.
Discovery (2-4 weeks). Audit of the existing martech stack, data flows, consent surfaces, and brand guidelines. You get a scoped proposal with named engineers.
First vertical slice (4-8 weeks). One working slice, end to end: a single content pipeline, a single segment, or a single attribution model. Real telemetry and real evaluation from day one.
Sustained delivery. Stepwise expansion across channels, segments, and markets. Documentation, evaluation suites, and on-call runbooks land alongside the code.
A short call costs nothing. Bring a personalisation problem, an attribution headache, or a content bottleneck you have not managed to solve.