Your data has gaps. Your campaigns feel it.

47%

of CRM records are missing at least one critical field needed for effective ad targeting.

Validity, 2024
27%

of marketing budget wasted when campaigns target unsegmented, generic audiences.

Marketing LTB, 2025

Companies using enriched customer data for segmentation are six times more likely to be profitable.

Google / BCG
3–5

The number of distinct audience segments AI builds from a properly enriched dataset.

Signal methodology

From raw list to targetable asset

Data Intake & Cleaning

You send us your customer list — CSV, CRM export, whatever you have. We deduplicate, normalize, and flag gaps. By end of day one, we know exactly what's missing.

Field Enrichment

We append 20+ data points per record: firmographics, industry codes, behavioral signals, contact verification, estimated revenue bands. Every record becomes targetable.

Quality Report

You get a full report: what we added, what it means, and how it changes your targeting options. The enriched dataset is yours — you own it regardless of what happens next.

Four steps from enriched data to targetable audiences

01

Pattern Recognition

AI scans your enriched data for clusters — behavioral patterns, purchase histories, demographic groupings — that manual analysis would miss.

02

Segment Construction

3–5 distinct audiences emerge: Broad (widest reach), Focused (mid-funnel), Fine (high-intent), and Lifetime (your best repeat customers). Each gets a full demographic and behavioral profile.

03

Lookalike Modeling

From your highest-value customer segment, we build lookalike audiences — new prospects who match the patterns of people who already buy from you.

04

You Choose

We present the segments with performance predictions. You pick which ones to target. We don't run anything you haven't approved.

Send us your customer list. We'll show you what's in it.

Free enrichment preview — we'll analyze a sample of your data and show you the segments before you commit.

Get Started