Your data infrastructure.
Then your growth engine.
Built by people who ran the campaigns first, not data people guessing what marketers need. We're the data and reporting layer agencies and marketing teams plug into — ads come second.
Book a data auditWhat we do
Three pillars: Data & BI, the CRM infrastructure underneath it, and Performance Marketing on top.
Data & BI
- Data Audit
- Blended cross-channel data
- ETL Pipeline Creation
- Data Warehouse Creation
- Dashboards & Reporting
- Analytics & Insights
CRM Infrastructure & Build
- CRM setup & migration
- Pipeline & workflow automation
- Lead scoring & routing
- Sales/marketing platform integrations
Performance Marketing
- Meta Ads, Google Ads, LinkedIn Ads & Bing Ads
- Media buying & campaign management
- Creative testing
- Omni-channel attribution modelling
Any one stands alone. Take all three, ongoing, as a full partner.
What we build in
Everything lands in one warehouse, then comes back out as a dashboard you own.
- Bing
- Tag Manager
- GA4
- Zoho
- HubSpot
- Salesforce
- Supabase
- PostgreSQL
- Custom-built
- Netlify
What you get
Your ad accounts tell one story. Your CRM tells another. Blending every channel into one view with omni-channel attribution is how you find out which one is true.
Closed revenue, weekly
Same four channels, ranked by each source
Meta brought the most leads and the third-most revenue. LinkedIn brought the fewest and the second-most. No ad account can see this — only the CRM can.
| Channel | Spend | Leads | Qualified | Qual. rate | Closed revenue | ROAS |
|---|---|---|---|---|---|---|
| R118K | 121 | 96 | 79% | R465K | 3.9x | |
| R64K | 58 | 51 | 88% | R301K | 4.7x | |
| Meta | R104K | 198 | 121 | 61% | R246K | 2.4x |
| Bing | R34K | 74 | 43 | 58% | R88K | 2.6x |
| All channels | R320K | 451 | 311 | 69% | R1.10M | 3.4x |
Why us
We didn't start as data people. We ran the ads ourselves, then got tired of guessing which campaigns actually worked.
Not in marketing at all? The same data and CRM infrastructure works just the same.
Ads are optional. The data layer isn't.
Let's look at your data.
Start with a data audit. No commitment beyond that first look.