AI Lead Enrichment
Enrichment is only useful if it becomes action. Suprflo runs waterfall enrichment from 50+ data sources, fills missing fields, dedupes records, and scores every lead 1–10 against your ICP — then routes those ranked leads straight into sequences and campaigns.
Waterfall enrichment
Run each record through a defined source order until required fields are filled — no single provider has full coverage.
Deduping + normalization
One truth per contact and account. Clean fields, consistent formatting, fewer orphan records and duplicates.
ICP scoring 1–10
Rank leads automatically so sequencing targets the right segment first — not whoever happened to be in a CSV export.
Built into the motion
Enrichment isn’t a side project. It’s stage one of a pipeline that continues into sequences, inbox, and attribution.
Why enrichment is never the end
Most teams enrich to “make the list nicer,” then export into a sequencing tool and lose context immediately. The result is predictable: the wrong accounts get contacted, messaging is generic, and nobody can trace pipeline back to what actually happened.
Suprflo treats enrichment as a foundation. The same enriched record powers scoring, targeting, sequences, LinkedIn steps, inbox routing, and attribution — so your GTM system behaves like a system.
How it works in Suprflo
- 1.A record enters the pipeline (CSV, CRM sync, Clay/Apollo export).
- 2.Waterfall enrichment fills missing fields across sources.
- 3.Deduping and normalization create one clean record.
- 4.ICP scoring ranks the record 1–10.
- 5.Ranked records route into campaigns — without leaving the system.
Lead enrichment — common questions
Can we keep Clay or Apollo and still use Suprflo enrichment?
Yes. Suprflo is integration-first. If you’re already enriching in Clay or sourcing in Apollo, you can bring that data into Suprflo and make it stage one of a pipeline that continues into sequences, inbox, and attribution.
Why score leads 1–10 instead of a simple yes/no?
Because targeting is rarely binary. A ranked score lets you run tighter sequences on 8–10s, test messaging on 6–7s, and avoid burning low-fit segments — while still learning what converts.
What happens when enrichment data changes?
That’s the point of an engineered system: the record stays live. When a field updates, campaigns and routing can use the updated truth without manual re-exports.
Turn better data into better pipeline.
See enrichment feeding sequences, inbox, and attribution — one motion, one system.
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