Building the Growth
Intelligence Engine
How I designed and shipped a unified growth intelligence platform that turned disconnected tools, data silos, and manual workflows into a single insight-to-action engine — and the system thinking I bring to any organisation scaling at the frontier.
michaelloupa@gmail.com
Why growth teams at
startups drown in tools
Swypt was scaling fast — merchants onboarding, transaction volume growing, a developer ecosystem taking shape. But the growth team's operating system hadn't kept up. Every function ran on a different tool. Every tool produced data in a different format. Strategic decisions required hours of manual aggregation before anyone could act.
The result: slower campaigns, missed signals, and a team spending time managing tools instead of driving growth. The GTM Dashboard was built to fix this at the root.
Fragmented data sources
Transaction data, merchant analytics, social metrics, and campaign performance lived in six separate tools with no unified view.
Manual reporting overhead
Weekly reports required 4–6 hours of manual data pulling. Insights were already stale by the time decisions got made.
No content intelligence layer
Content was published reactively, without signal data. No system existed to identify trending topics or auto-generate campaign briefs.
No closed loop from insight to action
Even when good data existed, the path from insight to campaign to execution had no structure. Ideas got lost between Slack and spreadsheets.
Swypt Backend⟿API scrape⟿Airtable????⟿Campaign goes out 3 days late
No single source of truth. No automation. No closed loop.
The system logic behind
the dashboard
The GTM Dashboard was not designed as a reporting tool. It was designed as an operating system for growth — where every data input has a clear path to a decision or action.
Single source of truth
All data sources — transactions, social, merchant analytics, campaign performance — feed one unified interface. One place to start every decision.
Intelligence, not just data
Raw metrics aren't enough. The dashboard interprets signals and surfaces actionable intelligence: what's trending, what's converting, what to do next.
Insight → action in one flow
From identifying a content opportunity to publishing a campaign, every step is traceable and executable within the platform. No context switching.
Built to sell or scale
Designed with modular architecture so it can be productised, white-labelled, or pitched as a standalone growth intelligence tool for other Web3 GTM teams.
One dashboard.
Every growth signal.
The architecture follows a hub-and-spoke model. All data sources flow into a central intelligence layer, which surfaces prioritised insights across four output modules — each connected directly to execution.
DashboardIntelligence Layer
Four modules, one
unified growth engine
Each module was scoped to solve a distinct failure mode identified in the fragmented pre-dashboard state. Together they form a complete insight-to-execution stack.
Content Intelligence
Monitors the Web3 / fintech / Africa payments conversation in real time. Surfaces trending topics, competitor moves, and narrative gaps. Auto-generates ready-to-approve content briefs from live signals — cutting brief creation from hours to minutes.
Campaign Builder
Structured campaign creation from brief to execution. Pre-built templates for merchant acquisition, developer outreach, and ecosystem announcements. Tracks performance across channels with unified attribution.
Merchant Insights
Aggregates transaction data, onboarding status, and engagement signals by merchant. Identifies churn risk early, surfaces upsell opportunities, and feeds the sales team with prioritised outreach lists.
Growth Scorecard
Real-time visibility on every growth KPI — transaction volume, merchant count, developer activations, campaign ROI. Auto-generates the weekly growth report, replacing 4+ hours of manual work with a one-click export.
Six steps from signal
to shipped campaign
The core design philosophy: every data point should have a clear path to a decision, and every decision should have a clear path to execution. The loop below is how the GTM Dashboard operationalises that principle.
Signal detected
Trend, merchant churn risk, or competitor move identified
Intelligence layer
Signal scored, contextualised, and prioritised by impact
Brief generated
AI-assisted brief created with audience, angle, and CTA
Approved
One-click review and approval within the dashboard
Executed
Campaign published or outreach sent directly from platform
Measured
Performance feeds back into intelligence layer. Loop closes.
What actually changed
when the dashboard launched
Operational outcomes
from a unified system
These results represent the measurable operational change from deploying the GTM Dashboard at Swypt — hours saved, signals acted on faster, and compounding efficiency across every growth function.
Most growth teams don't have a strategy problem. They have an infrastructure problem. The tools exist — but no one has built the connective layer that turns data into decisions and decisions into execution without friction. The GTM Dashboard is that layer.
This is not a concept. It is a working system, built in production at Swypt, documented and available as a portfolio proof-of-concept, a white-label product, or a foundation for any organisation that takes GTM operations seriously. If that's you — let's talk.
