Unified Marketing
Data Platform

CASE STUDY // DATA UNIFICATION

How Veritly unified paid and organic marketing channels into a single normalized data layer, powered by scheduled reporting and an intelligent AI agent.

Time Reclaimed6.5h

Saved per analyst each week after replacing manual CSV exports and cross-platform spreadsheet reconciliation.

Data Sources Unified11

Google Ads, Meta, LinkedIn, GA4, Klaviyo, HubSpot CRM, and 5 SFTP offline feeds — all normalized into one schema.

Reporting Speed~3 days

Reduced from a 2–3 week manual cycle to near-real-time dashboard updates with automated daily pipeline runs.

The Problem

The client operated across six paid and organic marketing channels — Google Ads, Meta, LinkedIn, GA4, email, and organic search — each siloed in separate platform UIs with inconsistent conversion definitions and no shared attribution model.

Attribution Blind Spot: No single customer path could be tracked from first touch on paid channels to conversion on organic.

Reporting Latency: Manual data uploads and inconsistent formats consumed days of reporting overhead each month.

The Solution

Veritly consolidated all paid and organic data sources into a unified database, mapped them to a normalized schema, and deployed dashboards alongside an AI analytics agent trained on their specific KPI definitions.

Normalized Marketing Data standardizes field definitions across Google, Meta, and CRM feeds, ensuring that clicks, spend, and conversion events represent identical logic everywhere.
Architecture Schema

Ingestion Infrastructure

Direct APIs

Scheduled syncs with Google Ads, Meta, LinkedIn, and GA4 for zero-touch retrieval.

SFTP Listeners

Automatic processing of CRM exports, phone calls, and offline sales files.

Manual Uploads

Structured CSV mapping portal for legacy offline channels and ad hoc lists.

Trained AI Agent

ACTIVE LAYERS

Rather than licensing an expensive standalone AI platform, Veritly built a database interface that plugs directly into the client's existing Claude and GPT seats.

Natural Language Querying // Ask for metric answers in plain English
Dynamic Dashboard Building // Describe a view and the agent constructs it
Automated Report Narration // Auto-summarizes weekly insights for stakeholders

Attribution Impact

OUTCOMES

Unifying the paid and organic metrics unlocked key marketing insights that were previously hidden inside platform interfaces.

Reclaimed Time // Zero data prep overhead for weekly dashboard reviews
Hidden Attribution // Highlighted organic blog posts key to paid conversions
Enhanced ROI // Directed LLM subscriptions to work against real business data
Product Roadmap

Phase 2: Proactive Automation

Budget pacing alerts

Agent notifies teams in real time if spend rate deviates from monthly target pacing guidelines.

Predictive channel scoring

Builds models using cross-channel data to predict conversion probabilities across segments.

Two-way integrations

Enabling write access for the agent to pause underperforming campaigns and adjust budgets directly.

Deeper CRM sync

Extending tracking post-conversion to attribute channels directly to customer lifetime values.

Get Started

Ready to unify your marketing data?

Book a session with our technology team to discuss custom integrations, database triggers, and workflow automations.