Every RevOps team wants speed, accuracy, and alignment across the funnel, but not everyone needs a full-blown data infrastructure to get there. Using Lusha’s enrichment and prospecting scripts inside Google Sheets, you can run live enrichment, build ICP-qualified lists, and sync verified data into your CRM—all from one shared workspace. This post breaks down the five plays that turn everyday spreadsheets into a real operational engine.
The combination of Lusha’s Company, Contact, and Prospecting Sheets scripts gives you the building blocks for a real-time data loop: enrichment, validation, segmentation, and sync.
The following five plays show how advanced RevOps teams use them together to prototype and scale workflows before committing to full-stack automation.
1. The enrichment pipeline play
Objective: build a single enrichment layer for all inbound and outbound data.
Pull raw leads or company domains into a shared Google Sheet.
The Lusha Contact and Company enrichment scripts call the API in bulk, returning verified emails, job titles, seniority, firmographics, and revenue data.
Set batch limits, add timestamps, and log status codes so every record has an audit trail. This instantly gives your RevOps team visibility into data health and enrichment success rates.
Operational outcome: a traceable enrichment pipeline without middleware or ETL tools.
2. The ICP calibration play
Objective: validate and refine your ideal customer profile using enriched data.
With both contact- and company-level enrichment in one place, you can pivot data to identify patterns: which titles convert, which industries yield higher ACVs, which company sizes move fastest through pipeline.
Filter, tag, and segment directly in Sheets, it’s a quick way to benchmark actual data quality against your ICP assumptions.
Operational outcome: data-driven ICP validation before you scale campaigns or territory design.
3. The outbound acceleration play
Objective: turn ICP insights into prospecting lists instantly.
The prospecting templates for contacts and companies connect directly to Lusha’s verified database from within Sheets.
Instead of sourcing manually, you define your parameters: job title, geography, headcount, and generate target accounts or contact lists automatically.
Enrich those results in the same sheet to maintain a consistent data layer.
Operational outcome: outbound lists built in minutes, enriched and ready for sync, with zero manual research.
4. The hygiene automation play
Objective: maintain accuracy and consistency over time.
Good data decays quickly. Add a “Last Enriched” column and create a scheduled trigger that re-enriches stale records every week or two.
The scripts flag “No data” and “Invalid email” rows, giving RevOps a real-time quality dashboard.
Instead of reactive cleanup, this approach builds hygiene into your process, keeping SDRs and marketers aligned on one verified source.
Operational outcome: data freshness embedded into the enrichment cycle itself.
5. The sync-ready play
Objective: close the loop between data ops and GTM execution.
Once your Sheets layer is stable, push enriched and validated data downstream. Tools like Zapier, Make, or n8n let you sync updates directly into Salesforce, HubSpot, or Monday CRM.
Map essential fields only, verified email, title, domain, and enrichment timestamp, and log sync activity for traceability.
Operational outcome: a lightweight, auditable data loop from form fill → enrichment → CRM → engagement platform.
Why these plays matter
RevOps success isn’t defined by tool count—it’s defined by data control.
These plays give you that control at the earliest stage: data entry and validation. You can prototype enrichment logic, test ICP definitions, and monitor performance before scaling into full-blown automation or a data warehouse.
It’s the same logic elite RevOps teams apply with Snowflake or dbt only faster, cheaper, and transparent enough for everyone on the GTM side to follow.
A spreadsheet might seem simple, but simplicity is exactly what makes it powerful.
By combining Lusha’s contact, company, and prospecting scripts, RevOps teams can create a low-code enrichment engine that’s fast, transparent, and measurable.
It’s not a workaround, it’s a smarter starting point.
Try the full workflow:
FAQs
They act as your enrichment sandbox. You can validate logic, test API performance, and align data structure before deploying to your CRM or middleware. Once stable, the same logic can be scaled into your production environment.
Yes—as long as you treat Sheets as an operational testing layer. Many enterprise teams use it for prototyping, QA, and data validation before connecting automation platforms. The Lusha API supports batch enrichment and returns standardized responses for easy scaling.
Add simple metrics columns: enrichment success rate, bounce reduction, and re-enrichment frequency. Over time, track improvement in lead routing speed, conversion rates, and bounce percentages. These metrics build a case for scaling into dedicated automation later.
Keep API keys restricted, log all enrichment timestamps, and enforce sheet-level permissions. Because Lusha data is fully GDPR and CCPA compliant, you can safely enrich while maintaining auditability.
Once enrichment becomes business-critical, feeding multiple systems or regions, it’s time to migrate to a full orchestration layer. But by starting here, you build your data logic correctly before automation multiplies errors.
