MarTech
When models receive the channel, session ID, and timestamp for every customer interaction, isolated touchpoints transform into measurable signals: click series, abandoned shopping carts, recurring availabilities. We use such patterns to align recommendations with specific behavioral sequences instead of assumptions. That is why we examine interfaces, authentication flows, measurement points, and raw data quality down to the field level. Only accurate, fully instrumented data provides reliable predictions; incomplete events distort models and lead to poor decisions.
MarTech with Artificial Intelligence: Architecture That Works
Our MarTech AI Services
Stack Assessment
We provide a detailed assessment of your MarTech instances: documented API endpoints with sample calls, authentication methods used, and latency analyses per endpoint. We flag duplicate tracking pixels, missing events in key steps of the customer journey, and metrics with conflicting definitions. The result is a prioritized backlog with effort estimation and clear action steps leading to a deployable change.
Integration Architecture
You receive tangible integration plans: API contracts with sample payloads, described authentication flows, and message schemas. Additionally, we document migration steps, backout procedures, and versioning rules, so that every change is deployable and traceable via a checklist.
Data Unification
We reconcile identity sources, define a primary customer key, and establish cleansing rules. Time series are normalized, duplicates are cleaned, and incorrect timestamps are flagged. The result is a practical Single Customer View and clean time series that can be used directly for model training and forecasts.
Workflow Automation
We automate specific processes such as lead scoring, segment updates, and approval processes, and provide detailed scoring formulas with fixed thresholds. Triggers are implemented in your orchestration layer, and playbooks for live operations and escalations are documented, including reset paths and responsibilities.
Suitable Packages
The AI Automation Add-On extends your existing orchestration layer and takes over routine tasks like segment maintenance and lead routing. We roll out in stages: first, processes with reliable KPIs, then deeper automations with clear termination conditions and tested reset plans.
AI Automation ×
Human Strategy.
Automatisiert
- Tool-Integrations-Monitoring
- Datenfluss-Automatisierung
- Stack-Performance-Tracking
- API-Health-Checks
- Automatisierte Daten-Pipelines
Experten-Fokus
- MarTech-Architektur
- Tool-Evaluierung & Auswahl
- Daten-Strategie & CDP
- Integrations-Design
- Change Management
Competitive Edge
Gesteuert von Menschen mit richtig viel Expertise.
Während andere blind ausführen, was die KI vorschlägt, hinterfragen unsere Experten jede Entscheidung. Das ist der Unterschied zwischen Output und Ergebnis, zwischen Automatisierung und Wettbewerbsvorteil.
AI × MarTech
AI-powered stack analysis
Predictive tool recommendations
Automatic integration tests
AI-based data flow optimization
Intelligent vendor evaluation
Stack smarter.
AI connects your tools into a system that actually works together.
Fragen zum Thema MarTech?
Lassen Sie uns gemeinsam herausfinden, wie wir Ihre MarTech-Ergebnisse optimieren können.
Begrenzte Kapazität pro Quartal. Wir prüfen jede Anfrage persönlich.
Sauberes Setup.
Sauberes Signal.
Ohne Alt-Ballast.
- Redirects Studio.URLs matchen, verifizieren, exportieren.
- Structured Data Helper.Schema für Produkt, Artikel, Person und mehr.
- LLM Generator.llms.txt und Trainings-Files pro Domain.
- Disavower.Toxische Links erkennen und disavowen.
Ein AI-Werkzeugkasten hinter jedem Service.
Von Entity- und Prompt-Research bis GEO-Monitoring und Content-Ops. Unsere internen Tools laufen bei jedem Kundenprojekt mit, damit Entscheidungen auf Daten basieren, nicht auf Bauchgefühl.
Bereits für ausgewählte Kunden verfügbar unter beta.projx.de.
