Catalyst Digital Group | marketing-agency
Marketing Agency Connects 5 Tools in 12 Days with Custom AI Integration
Challenge
Catalyst Digital Group managed 50 active clients across a fragmented tool stack: HubSpot for CRM and email marketing, Google Analytics for performance data, Asana for project management, Slack for internal communication, and a custom React dashboard for client-facing reports. None of these systems shared data automatically. Account managers spent an average of 8 hours per week per client on manual reporting—exporting CSVs from Google Analytics, cross-referencing with HubSpot campaign data, updating Asana timelines, and assembling slides. There was no single source of truth for client performance. An account manager might quote one number from HubSpot and a different number from Analytics in the same meeting, because the data was pulled at different times and aggregated differently. Campaign performance data arrived 48-72 hours late because it depended on someone manually pulling the numbers. Clients noticed—and three accounts had churned in the previous quarter specifically citing "lack of real-time visibility" in their exit surveys. The agency had 8 account managers, each spending roughly a full day per week on reporting instead of strategy and client communication. At their billing rates, that represented over $320K in annual capacity lost to data assembly. The managing director had evaluated Databox and Supermetrics but found they solved the dashboard problem without fixing the underlying data fragmentation across operational tools.
Solution
Results
Full integration
Tools Connected
0 (all manual) → 5 tools in 12 days
-100%
Reporting Turnaround
48-72 hours → Real-time
-94%
Manual Reporting Time
8 hrs/client/week → 30 min/client/week
Single source of truth
Data Accuracy
Manual with frequent errors → Automated with validation
+18% retention rate
Client Retention
3 churns in previous quarter → 0 churns since launch
Implementation Timeline
Days 1-3
Architecture & API Mapping
Documented every API endpoint across all 5 tools, designed the normalized event schema, built the n8n workflow backbone, and established the bidirectional sync between HubSpot and the React dashboard.
Days 4-7
Integration Build & Data Pipeline
Connected Google Analytics, Asana, and Slack to the central event stream. Built the conflict resolution layer, implemented the 30-second sync cycle, and validated data consistency across all systems.
Days 8-10
AI Insights Layer
Deployed the Claude API integration for automated weekly insight generation, built the anomaly detection logic, configured Slack notifications for actionable alerts, and populated the client dashboard with AI summaries.
Days 11-12
Testing & Launch
Ran the full pipeline against 10 pilot clients for 48 hours, validated insight accuracy with account managers, fixed edge cases around multi-touch attribution and timezone handling, then rolled out to all 50 clients.
Tools & Platforms
“Our account managers went from being data janitors to actual strategists. They used to spend Monday assembling reports—now they spend Monday reading the AI-generated insights and deciding what to do about them. Clients started commenting on how much sharper our recommendations got, and they have no idea it's because we automated the boring part.”
David Kim
Managing Director
