Real-Time Analytics and Automated Reporting
Highlights
The Client
A B2B technology company with a growing marketing and sales operation managing multiple acquisition channels, campaign workflows, and reporting streams across several platforms. The leadership team needed faster visibility into campaign performance, operational KPIs, and sales activity without relying on manual spreadsheet consolidation and delayed reporting cycles.
Product/Service
AltheraCode developed a centralized analytics and reporting ecosystem connecting marketing, sales, and operational data sources into one automated workflow.
The platform helps teams:
The solution replaced fragmented reporting processes with a live operational analytics layer used daily by leadership and campaign teams.
Goals & Objectives
The project aimed to eliminate manual reporting work, reduce decision-making delays, and improve visibility across marketing and sales performance. Operational goals included consolidating multiple data sources, automating KPI tracking, enabling real-time alerts, and creating a single reporting environment accessible to both executives and operational teams.
Project Challenges
- Marketing and sales data was scattered across multiple tools, making it difficult to maintain one reliable source of truth for reporting and campaign performance tracking.
- Leadership received reports several days after the actual reporting period, which slowed budget adjustments and delayed reaction to underperforming campaigns.
- Manual reporting workflows required constant spreadsheet consolidation, KPI reconciliation, and cross-team coordination every week.
Solution
AltheraCode designed a centralized analytics infrastructure built around Airtable as the operational data layer, with Looker Studio and Metabase dashboards supporting both leadership reporting and day-to-day marketing operations. The system connected HubSpot, Google Ads, LinkedIn Ads, GA4, and campaign tracking sources through automated N8N workflows, eliminating fragmented reporting processes across teams.
The architecture enabled real-time KPI synchronization, automated Slack and Microsoft Teams alerts, and threshold-based monitoring for campaign performance anomalies. AI-generated weekly summaries powered by GPT-4 helped leadership quickly interpret marketing trends, identify operational risks, and make faster budget and campaign decisions without relying on manual reporting cycles.
Our Results
The automated reporting environment significantly improved operational visibility and reduced the time spent on manual analytics preparation across the organization.
The company gained a centralized analytics workflow that improved reporting accuracy, enabled faster operational decisions, and increased responsiveness across marketing and sales teams.
Drop Us a Line
Tallinn, Estonia
linnaosa, Vesivärava tn 51-202, 10152