Overview
Most teams drown in data but starve for insight. Dashboards exist—but no one fully trusts them. Numbers differ from one tool to another. Marketing has one version of performance, finance has another, and founders rely on gut instinct when they should be relying on clean, decision-ready data.
IntelliVise.co helps you move from reactive reporting to a structured analytics engine that: connects your channels, normalizes data, clarifies attribution, and turns metrics into action. We focus on what actually matters for growth: acquisition efficiency, unit economics, retention, LTV, funnels, and forecasting—not vanity dashboards.
We work across GA4, ad platforms, CRMs, data warehouses, and custom systems to build analytics that are reliable, understandable, and tightly connected to business decisions.
Problems We Solve
- Multiple dashboards, no single source of truth
- Conflicting numbers between GA4, Meta, Google Ads, CRM, and finance
- Inability to tie marketing spend directly to revenue and profit
- Weak or missing event tracking, broken pixels, or misconfigured GA4
- No clear view of funnels, drop-off points, or cohort retention
- Reporting that’s too complex or too generic to guide decisions
- Manual spreadsheet work for weekly and monthly reporting
- Lack of insights for LTV, CAC, payback period, or contribution margin
- No analytics foundation to support experimentation or AI
Our Approach
1. Tracking & Data Audit
We start with a technical and functional audit of your tracking stack: GA4, pixels, conversion APIs, server-side tracking, CRM events, and data flows. We identify what is broken, missing, duplicated, or misaligned with your KPIs.
2. KPI & Measurement Framework
We define the metric system for your business:
• North Star metrics
• Core KPIs (CAC, ROAS, LTV, retention, AOV, churn, etc.)
• Supporting metrics (CTR, CPM, CVR, frequency, etc.)
• Definitions and calculation logic
This eliminates guessing and misinterpretation across teams.
3. Analytics Architecture & Data Flow Design
We design how data moves from your website, apps, ads, and CRM into GA4, data warehouses (e.g., BigQuery), and dashboards (Looker Studio, Power BI, etc.). The objective is a scalable, maintainable architecture with minimal manual work.
4. Event, Funnel & Cohort Setup
We configure events, parameters, and conversion funnels that reflect your real user journeys:
• Acquisition → activation → purchase → repeat purchase
• Signup → onboarding → usage → upgrade (for SaaS)
• Cohort views based on acquisition date, campaign, or segment
5. Dashboard & Reporting Layer
We build dashboards for:
• Leadership (high-level KPIs and trends)
• Marketing (channel, campaign, and creative performance)
• Product (activation, engagement, retention)
• Finance (revenue, margin, unit economics)
Dashboards are built with clarity: minimal noise, maximum relevance.
6. Attribution & Channel Insights
We configure attribution views in GA4 and BI tools, and where needed, build blended models (e.g., data-driven + heuristic) to understand the true incremental impact of each channel—especially in privacy-constrained environments.
7. Training, Playbooks & Ongoing Optimization
We train your team to read dashboards, monitor anomalies, and design their own views. We also deliver playbooks for weekly, monthly, and quarterly analytics rituals so reporting becomes a habit that drives decisions, not a chore.
What You Get
- Tracking & analytics audit with clear fixes
- Formal KPI and measurement framework
- Event and funnel configurations in GA4 and key platforms
- Dashboards for leadership, marketing, and product
- Attribution views and channel performance insights
- Recurring reporting templates and cadences
- Documentation of metrics and data architecture
- Foundation for experimentation, CRO, and AI-driven insights
Tools & Platforms
- GA4, GTM (Google Tag Manager), server-side tagging
- Meta, TikTok, Google Ads, Snapchat Ads
- BigQuery, Snowflake, data warehouses
- Looker Studio, Power BI, Tableau, custom dashboards
- HubSpot, Zoho, Salesforce, and marketing automation tools
Case Studies
1. E-Commerce Brand — From Fragmented Reports to One Truth
A fast-growing GCC e-commerce brand had separate reporting across Shopify, Meta, Google Ads,
and Excel. We centralized analytics into GA4 + Looker Studio with standardized KPIs.
Results:
• Weekly reporting time dropped from 8 hours to under 1 hour
• Budget reallocation increased ROAS by 27% in 60 days
• Leadership aligned around a single dashboard for decisions
2. SaaS Platform — Product & Revenue Analytics
We implemented product analytics, funnel tracking, and cohort views:
• Clear insight into onboarding drop-offs
• Identification of a specific feature that correlated with higher retention
• 19% improvement in activation after changes guided by the data
3. Multi-Country Brand — Marketing & Finance Alignment
For a regional group operating across several GCC markets, we connected marketing
performance data with finance and ERP outputs.
Outcomes:
• Ability to view contribution margin by campaign and country
• Clear signal on which channels were truly profitable
• Executive decision-making moved from “opinion-based” to “evidence-based”
Trusted by Data-Driven Teams
