How CRM Developers Can Automate Sales Fraud Detection Like Coin Authentication

A great sales team runs on great technology

As a CRM developer, I’ve seen firsthand how sales tools need the same careful eye as authenticating rare coins. When I read that forum thread on spotting fake coins, it clicked—those same validation tricks can help us build smarter fraud detection in Salesforce and HubSpot. Let’s walk through how.

The High Cost of Bad Data in CRM

Just like collectors lose money on counterfeit coins, sales teams take a hit when their CRM is filled with:

• Fake lead details (think of that obviously fake Morgan dollar)
• Opportunity values that don’t add up (like a misgraded coin)
• Duplicate or messy records (similar to “junk silver”)

Building Validation Rules in Salesforce

Coin experts pointed out clear markers of authenticity—here’s how we turn those into CRM rules:


// Example Salesforce validation rule for lead scoring
trigger LeadValidation on Lead (before insert, before update) {
for(Lead l : Trigger.new) {
if(l.AnnualRevenue > 1000000 && l.NumberOfEmployees < 5) { l.addError('Revenue/employee ratio indicates possible fraud'); } } }

Automating Quality Control in HubSpot

Experienced collectors spot flaws fast—like that “raised blob of metal” on a fake coin. We can teach HubSpot to do the same by:

• Setting deal stage rules that require proof or docs
• Adding approval steps for big, sudden discounts
• Scoring companies based on domain age or exec profiles on LinkedIn

HubSpot API Integration Example


// Sample Node.js script to validate company domains
const hubspot = require('@hubspot/api-client');

async function checkDomain(domain) {
const domainAge = await getWhoisData(domain);
if(domainAge < 365) { await hubspot.deals.update( dealId, {properties: {deal_risk: 'High - New Domain'}} ); } }

Creating a Single Source of Truth

That coin thread proved—multiple eyes find the truth. Sales enablement works best when we:

• Sync CRM with email and calendar to verify activities
• Pull in outside data from sources like Clearbit
• Track changes on all key fields with logging

Build Systems That Learn From Mistakes

Just like that collector who owned up to an error, smart CRM developers build systems that:

1. Flag issues without making users feel blamed
2. Get better over time with machine learning
3. Keep the right balance of automation and human review

Using these authentication ideas in sales tech helps teams dodge expensive errors—while keeping the real relationships that drive revenue strong.

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