ANALYTICS & INTELLIGENCE

Turn Data Into Actionable Insights

Comprehensive analytics and business intelligence solutions. Track, measure, and optimize every aspect of your business with data-driven decision making.

You're Flying Blind Without Data

You're spending thousands on marketing but can't prove ROI. You don't know which channels drive revenue. Customer behavior is a mystery. Decisions are based on gut feelings, not data.

The reality is brutal: 87% of marketers say data is their company's most underutilized asset. Companies that use data-driven decision making are 5-6% more productive and profitable than competitors. Yet most businesses are drowning in data but starving for insights.

Your Google Analytics shows traffic, but you can't connect it to revenue. Your CRM has customer data, but you don't know which customers are most valuable. Your marketing team runs campaigns, but can't prove which ones actually work. You're guessing which channels to invest in, which products to promote, and which customers to target.

Meanwhile, your competitors use analytics to optimize every dollar spent. They know exactly which campaigns work, which customers are most valuable, and where to invest next. They're making data-driven decisions while you're relying on intuition. Learn how to set up Google Analytics 4 properly to start making data-driven decisions.

The cost? Wasted marketing spend, missed opportunities, and falling behind competitors who use data to win. Every day without proper analytics costs you revenue.

Our System: Data-Driven Decision Making

We implement analytics systems that track every customer touchpoint. From first click to final purchase, you'll know exactly what's working. Real-time dashboards show revenue by channel, customer lifetime value, conversion rates, and ROI.

Here's our approach: We start with an analytics audit to identify gaps in your current tracking. Then we implement proper measurement infrastructure—GA4, tag management, event tracking, and conversion tracking. We connect all your data sources (website, CRM, ads, email) into unified dashboards.

We set up marketing attribution models that show which channels drive revenue at each stage of the customer journey. You'll see first-touch attribution (which channel started the journey), last-touch attribution (which channel closed the deal), and multi-touch attribution (full journey visibility).

You get clear answers to critical questions: Which campaigns drive revenue? Which customers are most valuable? Where should you invest next? What's your true marketing ROI? Which products have the highest margins? Where are customers dropping off?

Every dashboard is customized to your business. Marketing teams see campaign performance and attribution. Sales teams see pipeline velocity and forecasts. Executives see revenue, growth, and profitability metrics. Everyone makes decisions based on data, not gut feelings.

Result: 30% higher marketing ROI, 25% better budget allocation, and data-driven decisions that drive growth. You stop guessing and start knowing.

Real-World Application: E-Commerce Company

The Challenge:

A growing e-commerce company was spending $35,000/month across Google Ads, Facebook Ads, and email marketing. They had basic Google Analytics tracking but couldn't determine which channels actually drove profitable sales. Their attribution was broken—they were using last-click attribution which gave 100% credit to the final touchpoint, ignoring the entire customer journey. They were making budget decisions blindly, potentially wasting thousands on underperforming channels.

The Implementation:

We implemented a comprehensive analytics and attribution system over 4 weeks. Week 1: Analytics audit revealed 40% of transactions weren't being tracked properly. Week 2-3: Migrated to GA4, implemented proper e-commerce tracking, set up Google Tag Manager for all marketing pixels, configured custom events for key actions (add to cart, begin checkout, purchase), and connected revenue data to marketing spend. Week 4: Built multi-touch attribution model showing the full customer journey, created executive dashboard with real-time revenue and ROI metrics, set up automated weekly reports for marketing team, and trained the team on data interpretation.

The Results (90 Days):

  • • Attribution Accuracy: Discovered Facebook Ads drove 3x more revenue than last-click attribution showed (was getting 15% credit, actually drove 45% of revenue)
  • • Budget Reallocation: Shifted $12K/month from underperforming Google Search to Facebook and email
  • • Marketing ROI: Improved from 2.1x to 3.4x (62% improvement)
  • • Cost Per Acquisition: Dropped from $87 to $52 (40% reduction)
  • • Revenue Growth: Increased by $94,000/month with same marketing budget
  • • Customer Insights: Identified that customers who engaged with email + social had 4.2x higher lifetime value
  • • Decision Speed: Reduced time from question to answer from days to minutes

The CMO's feedback: "We were flying blind before. We thought Google Ads was our best channel because it got last-click credit, but the data showed Facebook was actually driving most of our high-value customers. We reallocated budget based on real attribution data and saw immediate ROI improvement. This paid for itself in the first month."

The key insight? Last-click attribution was lying to them. Most customers touched 5-7 marketing channels before purchasing, but only the last one got credit. Multi-touch attribution revealed the true customer journey and enabled smarter budget decisions.

Analytics & Intelligence Services

From basic tracking to advanced predictive analytics, we help you make sense of your data.

Analytics Setup & Optimization

Proper tracking foundation for accurate data collection and reporting.

  • GA4 implementation & migration
  • Event tracking & custom dimensions
  • Conversion tracking setup
  • Tag management (GTM)
  • Cross-domain tracking
  • Data layer configuration

Marketing Attribution

Understand which channels drive revenue and optimize your marketing spend.

  • Multi-touch attribution modeling
  • Channel performance analysis
  • Customer journey mapping
  • ROI tracking by campaign
  • Attribution reporting dashboards
  • Budget optimization recommendations

Custom Dashboards & Reporting

Real-time visibility into your business metrics with automated reporting.

  • Executive dashboards
  • Marketing performance reports
  • Sales pipeline analytics
  • Custom KPI tracking
  • Automated email reports
  • Data visualization (Looker, Tableau)

Predictive Analytics & AI

Forecast trends and make data-driven decisions with machine learning.

  • Sales forecasting models
  • Customer churn prediction
  • Lead scoring & prioritization
  • Demand forecasting
  • Anomaly detection
  • Recommendation engines

Why Analytics Matters

360°

Complete Data Visibility

Unified view of all your business data in one place with real-time updates.

10x

Faster Insights

Automated reporting and dashboards deliver insights in minutes, not days.

30%

Increased ROI

Data-driven decisions lead to better resource allocation and higher returns.

Analytics Use Cases

Marketing Analytics

Track campaign performance, attribution, and ROI across all channels.

Key Metrics:
Cost per acquisition
Customer lifetime value
Channel attribution
Conversion rates

Sales Intelligence

Pipeline visibility, forecasting, and performance tracking for sales teams.

Key Metrics:
Pipeline velocity
Win rates
Sales forecasting
Rep performance

Product Analytics

User behavior, feature adoption, and product engagement metrics.

Key Metrics:
User engagement
Feature adoption
Retention rates
Churn analysis

Executive Reporting

High-level KPIs and business health metrics for leadership teams.

Key Metrics:
Revenue growth
Customer acquisition
Operational efficiency
Market trends

Our Analytics Process

1

Audit & Discovery

Review current analytics setup and identify gaps in data collection.

2

Implementation

Set up tracking, dashboards, and reporting infrastructure.

3

Training & Enablement

Train your team to use analytics tools and interpret data.

4

Optimization

Continuous improvement and refinement based on business needs.

Analytics Tools & Platforms

We work with industry-leading analytics and BI platforms.

Analytics Platforms

  • Google Analytics 4
  • Adobe Analytics
  • Mixpanel
  • Amplitude

Business Intelligence

  • Looker
  • Tableau
  • Power BI
  • Metabase

Data Warehouses

  • BigQuery
  • Snowflake
  • Redshift
  • Databricks

Tag Management

  • Google Tag Manager
  • Segment
  • Tealium
  • mParticle

Is This Right for Your Business?

✓ Perfect For:

  • • Businesses spending $5K+/mo on marketing
  • • Companies that can't prove marketing ROI
  • • Teams making decisions based on gut feelings
  • • Businesses ready to invest in data infrastructure
  • • Companies wanting to optimize customer journeys
  • • E-commerce businesses needing attribution clarity
  • • Organizations with multiple marketing channels

✗ Not For:

  • • Businesses with less than 100 customers
  • • Companies not ready to act on data insights
  • • Teams expecting instant results (takes 60-90 days)
  • • Businesses without clear KPIs or goals
  • • Companies looking for basic Google Analytics setup only
  • • Organizations unwilling to change based on data
  • • Businesses with less than $2K/mo marketing spend

Frequently Asked Questions

How long does it take to implement analytics and BI solutions?

Most analytics implementations take 3-6 weeks depending on complexity. Week 1: Analytics audit and strategy development. Week 2-3: Tracking implementation and data pipeline setup. Week 4-5: Dashboard creation and testing. Week 6: Team training and launch. Simple GA4 setups can be completed in 1-2 weeks, while complex multi-platform BI systems may take 8-12 weeks.

What's the difference between analytics and business intelligence?

Analytics focuses on tracking and measuring what happened (descriptive analytics) and why it happened (diagnostic analytics). Business Intelligence goes further by predicting what will happen (predictive analytics) and recommending actions (prescriptive analytics). Analytics answers "what happened?" while BI answers "what should we do about it?" We provide both depending on your business maturity and needs.

Do I need to migrate from Universal Analytics to GA4?

Yes. Google shut down Universal Analytics on July 1, 2023. All businesses must migrate to Google Analytics 4 (GA4). GA4 offers better cross-platform tracking, privacy-focused measurement, predictive insights, and integration with Google Ads. We help businesses migrate smoothly, set up proper tracking, configure custom events, create reports and dashboards, and train teams on the new interface. The sooner you migrate, the more historical data you'll have for year-over-year comparisons.

How do you measure marketing ROI and attribution?

We implement multi-touch attribution models that track the entire customer journey from first click to final purchase. This includes first-touch attribution (which channel started the journey), last-touch attribution (which channel closed the deal), linear attribution (equal credit to all touchpoints), time-decay attribution (more credit to recent touchpoints), and position-based attribution (more credit to first and last touches). We connect revenue data to marketing spend across all channels, calculate true ROI by campaign, channel, and keyword, and provide recommendations for budget optimization. Most businesses discover they're wasting 30-40% of their marketing budget on underperforming channels.

What tools and platforms do you work with?

We work with industry-leading analytics and BI platforms. Analytics: Google Analytics 4, Adobe Analytics, Mixpanel, Amplitude. Business Intelligence: Looker, Tableau, Power BI, Metabase. Data Warehouses: BigQuery, Snowflake, Redshift, Databricks. Tag Management: Google Tag Manager, Segment, Tealium. We choose the right tools based on your budget, technical requirements, team capabilities, and long-term goals. Most small to mid-size businesses start with GA4 and Google Tag Manager, then graduate to more advanced platforms as they scale.

How much does analytics and BI implementation cost?

Project-based implementations range from $5K-$25K depending on complexity. Basic GA4 setup and dashboards: $5K-$10K. Marketing attribution and multi-platform tracking: $10K-$15K. Advanced BI with predictive analytics: $15K-$25K. Ongoing analytics support ranges from $2K-$10K per month and includes monthly reporting and analysis, dashboard maintenance and updates, optimization recommendations, strategic consulting, and continuous improvement. We provide detailed quotes after understanding your specific data sources, reporting needs, and business goals.

Flexible Pricing

Choose between project-based or ongoing analytics support based on your needs.

Project-Based

$5K - $25K

One-time setup and implementation

  • Analytics audit & strategy
  • Tracking implementation
  • Dashboard setup
  • Team training

Ongoing Support

$2K - $10K/mo

Continuous optimization and insights

  • Monthly reporting & analysis
  • Dashboard maintenance
  • Optimization recommendations
  • Strategic consulting
Request Custom Quote

Meet Sergio Beltran

From restaurant operations director to AI business consultant, Sergio brings real-world operator experience to every analytics implementation.

Built analytics system that improved marketing ROI by 62% for e-commerce company

Reduced customer acquisition cost by 40% with multi-touch attribution

8+ AI & business certifications from Stanford, MIT, Google, and IBM

Learn More About Sergio
"AI isn't magic. It's a tool. But it's the most powerful tool businesses have ever had access to. The key is knowing when to use it, how to use it, and understanding that it's meant to enhance human capability, not replace it."
SB
Sergio Beltran
Founder & AI Strategy Consultant

Ready to Unlock Your Data's Potential?

Schedule a free analytics audit to discover opportunities in your data.