Analytics & Reporting Across Your Entire Marketing Stack

For businesses that need their website, ad, and CRM data to agree with each other — and to actually inform decisions.

Analytics is the connective tissue between marketing spend and business outcomes. When it works, every decision gets sharper. When it doesn’t, you end up with four dashboards showing four different numbers, nobody confident in attribution, and leadership asking questions nobody can answer.

FBP implements and validates measurement across the whole stack: website analytics (GA4, server-side tagging), advertising platforms (Google Ads, Meta, LinkedIn, TikTok), CRM reporting (HubSpot, Salesforce, Zoho), e-commerce platforms, and social media. We build attribution models that make sense, dashboards stakeholders can read, and reporting cadences that drive decisions instead of just filling meetings.

What We Cover

Website Analytics. GA4 configuration, event taxonomy, conversion tracking, enhanced measurement, cross-domain tracking, server-side tagging where it matters, and consent-mode implementation for GDPR/CCPA compliance.

Marketing & Advertising Analytics. Platform-level conversion setup (Google Ads, Meta Ads, LinkedIn, TikTok, Microsoft Ads), offline conversion imports, enhanced conversions, and reconciliation between platforms and your CRM source-of-truth.

Social Media Analytics. Platform-native reporting (Meta, LinkedIn, X, Instagram, TikTok, YouTube) consolidated into a single dashboard with the metrics that connect to funnel outcomes — not just reach and impressions.

CRM Reporting. Pipeline reporting, campaign attribution, lifecycle funnel analysis, deal velocity, and sales/marketing alignment metrics.

Executive Reporting. Monthly or quarterly reporting written in plain English, structured around what moved, why, and what to do about it.

What This Solves

  • “Google Analytics says one thing, CRM says another” reconciliation problems
  • Unclear ROI across SEO, ads, content, and social
  • Attribution confusion when a buyer touches six channels before converting
  • Leadership asking for performance metrics nobody can confidently produce
  • Teams making decisions based on broken, duplicated, or missing tracking
  • Reporting that lives in people’s heads instead of a shared source

Bad tracking causes expensive decisions. We fix the plumbing first, then build the reporting layer on top of clean data.

Where Analytics Goes Wrong

  • Duplicate conversions firing on the same user
  • Revenue attribution broken by checkout tracking gaps
  • Campaign tagging that drifts over time (UTM anarchy)
  • Bot traffic and spam events inflating performance numbers
  • Dashboards built on metrics that don’t map to business outcomes
  • iOS 14 / ATT impact on ad-platform numbers never reconciled
  • Server-side tracking never implemented despite declining client-side fidelity
  • Consent-mode configuration that silently kills 30% of your data

Our Process

  1. Audit — current tracking inventory, data flow mapping, variance analysis across sources
  2. Design — event taxonomy, conversion architecture, attribution model, reporting layer
  3. Implement — tag management (GTM, server-side), platform configuration, data layer, consent handling
  4. Validate — QA across every event, cross-platform reconciliation, pre/post traffic comparison
  5. Report — monthly reporting cadence, quarterly reviews, ad hoc analysis on request

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