Marketing data ops is the bridge between Layer 2 (marketing automation) and Layer 4 (business intelligence). We've encoded the pipelines that take operational data — gym check-ins, booking patterns, supplier prices, abandoned carts — and turn them into automated marketing and retention actions. The sub-vertical of the Hub where data stops being inert and starts being a revenue stream.
Your gym knows when every member swipes in. Your travel company has years of supplier pricing in PDFs. Your e-commerce store tracks every abandoned cart.
But does your marketing know any of this?
When a regular member hasn't visited in 30 days, does your email system automatically reach out? When a supplier drops their prices, does your quoting system update in real-time?
If not, you're not just inefficient—you're leaving revenue on the table. We use Marketing Data Automation to pipe that operational data directly into your growth strategy.
Gym Check-ins
Booking Patterns
Supplier PDFs
Abandoned Carts
We audit where humans are doing what machines should — and where data is dying between sales and marketing. The map becomes the encoded operations spec we build to.
We encode the pipelines: custom CRM builds, AI/LLM pipelines reading unstructured documents, real-time event streams from operational tools. The substrate that makes Layer 4 (business intelligence) possible.
This is where we differ from a dev shop. We don't just deliver data — we encode the response. Member behaviour drops → retention flow fires. Supplier price changes → quoting system updates in real-time. Operations driving marketing, encoded once, run forever.
IF Member_Attendance < 2/month
→ Trigger "We Miss You" Offer
IF Safari_Quote > R50k
→ Alert Senior Sales Rep via SMS
The team spent 15+ hours/week manually extracting pricing from supplier PDFs.
We built an AI pipeline that reads supplier documents, extracts pricing, and auto-populates the quoting system.
Quotes that took days now take minutes. Sales team focuses on selling, not data entry.
The gym didn't know a member was quitting until they cancelled.
We built a custom access system that tracks entry patterns. The system identifies behavioral signals of churn (e.g., declining visits) and triggers a retention campaign before the member leaves.
Proactive retention before cancellation requests—transforming churn into loyalty.
We are not selling a monthly subscription or a template. We build custom software assets that become a permanent competitive advantage for your business.
Typical engagements for data automation start at R75,000 for foundational builds and scale based on complexity.
The ROI? One client recouped their investment in 4 months through reduced staff time alone.
A standard software shop builds what you ask for. We build what your business needs to grow.
We understand that a clean database is worthless unless it helps you sell more. Every line of code we write is designed to answer one question:
"How does this generate money?"
30-minute discovery. We'll trace the operational data your marketing isn't seeing yet — and what we'd encode first.