Engineering a Compliant FieldSales Lead Pipeline in NetSuite

How a residential services company moved door-to-door lead capture, address validation, and federal Do-Not-Call compliance into NetSuite — using Boomi, Google Places, and a Google BigQuery lookup that returns in under five seconds against approximately 250 million records.

CLIENT: A residential tree-care services company in Washington State, with door-to-door Order Generators, an in-house telemarketing team, certified Arborists, and field crews.

PLATFORM: NetSuite CRM, Boomi, Google Cloud (BigQuery + Places API), SalesRabbit.

FOCUS AREA: Field-sales lead capture, address data quality, federal Do-Not-Call compliance.

SOLUTION: Three integrated NetSuite automations: a Boomi-powered SalesRabbit-to-NetSuite lead pipeline, a Google Places address-validation layer with error routing, and a real-time federal DNC compliance engine running against Google BigQuery.

Executive Summary

We designed and delivered three NetSuite automations for a growing residential services company in Washington State. Each tackles a problem most NetSuite implementations solve with a monthly batch, a paid plugin, or a separate point system. Together they move door-to-door lead capture, address data quality, and federal Do-Not-Call compliance into a single NetSuite-based workflow — with one engineering choice we think is unusual in the NetSuite ecosystem: federal DNC lookups against approximately 250 million records that return on every contact save.

The Challenge

Our client runs a residential tree-care services business across three Washington State regions, with door-to-door Order Generators, an in-house telemarketing team, certified Arborists, and field crews. The team’s day-to-day work — capturing door-knocked leads in SalesRabbit, building telemarketing call lists, validating new customer addresses, and keeping in step with federal Do-Not-Call requirements — was scattered across SalesRabbit, a custom AWS-hosted database, an outbound dialer, and Google Places, held together by manual reconciliation:

Telemarketing campaigns were assembled by writing SQL queries against an AWS-hosted database, filtering inside the dialer admin tool, and hand-importing the resulting lists.

New SalesRabbit leads landed somewhere outside the system the back office actually worked in, so visibility from door-to-door capture into the rest of the business required manual reconciliation.

Address data wasn’t standardized. Phone-number uniqueness wasn’t enforced. Both surfaced as duplicate Contacts in the data that landed at go-live.

Federal DNC compliance ran as a monthly process owned by an outside data engineer. The cleaned list landed in AWS storage, separate from the system the rest of the team worked in.

The brief was to bring all of this together on NetSuite — and to use the move as an opportunity to add capabilities the legacy stack hadn’t had.

The Solution

Three integrated automations, scoped independently so the client could go live in stages.

Automation #1 — SalesRabbit-to-NetSuite Lead Pipeline (Boomi)

A Boomi process picks up each new SalesRabbit submission immediately upon form entry, validates the address against Google Places to obtain a canonical Place ID, and creates a linked Prospect, Address, Contact, Opportunity, and Calendar Event in NetSuite. Place ID is the deduplication key, so the same house stays a single record across the customer database no matter how the address is spelled.

The pipeline carries more than the lead header. SalesRabbit dispositions, the Order Generator who captured the lead, lead-source tagging, and notes flow into NetSuite alongside the contact details, so the back office sees what happened on the porch — not just that a door was knocked. Lead-to-Arborist assignment is applied in NetSuite from the SalesRabbit reference; if the Arborist is inactive or unmatched, the integration falls back to a generic placeholder so no record is orphaned.

Automation #2 — Google Places Address Validation, End to End

Most NetSuite shops bolt Google Places onto the address field as a UI autocomplete. We wired it into three entry points: live in the NetSuite UI as users type (geographically bounded to Washington), server-side during CSV imports, and inline within the SalesRabbit pipeline above. The integration normalizes addresses, captures latitude/longitude, and stores the Google Place ID as the foreign key the rest of the system uses for household-level deduplication.

When an address comes in that Google can’t resolve, the parent records still get created so no lead is lost, but a custom Address Correction Request record is logged and an email goes to the scheduling team. Schedulers fix the address from there. Two practical release valves keep the integration usable at scale: designated users can paste in a Place ID directly for edge cases like private roads and new lots Google hasn’t geocoded yet, and a Historical Import checkbox on the Entity record turns validation off during bulk migrations so the client isn’t paying Google to re-validate records that are already clean.

Automation #3 — Real-Time Federal DNC Compliance Against BigQuery

The federal Do-Not-Call database — roughly 250 million phone numbers, refreshed monthly — typically lives somewhere outside the system reps work in. We pulled it inside.

The data lives in a Google BigQuery table the client owns. The call-center manager runs the monthly upload herself from a small Windows desktop app we built for the purpose: drop the 3 GB file in a folder, run the app, ten to twenty minutes later it’s in BigQuery. From inside NetSuite, every contact save fires a lookup against that table and returns in under five seconds. The result drives a deterministic cascade adapted from the client’s existing rules: Express Written Consent overrides DNC; a signature in the last 18 months establishes an Existing Business Relationship; a verbal consent within the last 90 days extends the consent window. The outcome is a current Is DNC? flag on every contact, visible to the call center inside the same NetSuite UI they use for everything else, and gated to the outbound dialer through the Inactive flag.

A nightly job sweeps contacts whose Existing Business Relationship windows expire that day. CSV imports skip the per-save lookup for performance, and a background reconciliation catches them up after the load. When the new federal list lands in BigQuery each month, a bulk re-evaluation runs against the entire active contact base the same day.

What’s Notable in the NetSuite Ecosystem

A few design choices on this build are worth calling out for fellow NetSuite practitioners:

Real-time external-database lookups from inside NetSuite. Federal-DNC checks on every contact save against ~250 million BigQuery rows are not a common pattern in NetSuite implementations, which tend to defer this kind of check to monthly batches or paid third-party plugins.

Google Places integrated into every address-entry path. UI auto-complete, server-side CSV imports, and the SalesRabbit pipeline all use the same Place ID as the canonical household key, so dedup works regardless of how the address was entered.

A purpose-built desktop companion app for bulk data ingestion. Pairing a small Windows utility with NetSuite for the monthly 3 GB DNC upload removes a single-SME dependency the client used to live with, and keeps the system of record inside the platform reps actually use.

Results

• Door-to-door leads land in NetSuite as fully formed Prospect, Address, Contact, Opportunity, and Calendar Event records within minutes of capture, with their addresses standardized and deduplicated against the Google Place ID space at the moment of arrival.
• The call-center manager assembles her own telemarketing lists insideNetSuite, against a contact base that is continuously DNC-evaluated, withoutauthoring SQL or hand-importing into the dialer.
• The scheduling team has a single queue for bad addresses with the sourcerecord linked, so addresses are corrected before a crew is dispatched.
• Federal DNC compliance runs end-to-end inside the same system reps workin: the federal list refreshes monthly, every save re-checks in real time, andthe dialer is gated to the result.