PSA: Your data is LYING to you. Or at least, it’s leading you on. 😏 The other day, we evaluated CRM data for our client. The data was recently updated through automated enrichment, thus supposedly accurate. This is what we found: ❌ 34% of contacts' employment status was outdated ❌ 21% of contacts' titles were outdated ❌ 14% of emails were invalid (contacts that had correct current employment status) ❌ Large amount of duplicate contacts ❌ Large amount of duplicate accounts (the same company entered five times with different spellings} ❌ 11% of contacts' emails did not match their current company (email from new employment, while the contact is still mapped to the old account or the other way around) ❌ 9% of contacts mapped to the wrong accounts ❌ 10 % of ghost contacts ❌ 5% of out of business accounts But hey, at least the colors on the dashboard looked nice, right? So here is how we fixed it: ✅ Updated employment status for all outdated contacts ✅ Updated Job Titles ✅ Replaced invalid emails ✅ Merged duplicate contacts and duplicate accounts ✅ Updated emails or account information for all mismatched contacts ✅ Mapped contacts to the correct accounts. ✅ Removed ghost contacts and out-of-business accounts ✅ Enriched with all other missing data points And ..... the most important last step! - Clean and updated data is monitored for changes for the next 12 months. Bad data can be annoying and expensive. It wastes your sales team’s time, ruins your marketing ROI, and makes decision-makers look bad. So, what’s the fix? ✅ Stop hoarding data and clean it, but use the right data partner. ✅ Track job changes & keep contacts updated. ✅ Make sure your enrichment process isn’t adding more noise. Clean before enriching. More data does not mean better decisions. The correct data does. What’s the worst data disaster you’ve seen? P.S. DM me if you want a free data evaluation to see your results (if you are brave enough to face the reality of your data 😆).
How to Avoid Emailing Outdated Contacts
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Summary
Avoiding outdated email contacts means keeping your email lists free of invalid, duplicated, or inactive addresses so your messages reach the right people and your business avoids wasted effort. Regularly updating and cleaning your contact data helps prevent issues like bounced emails, poor engagement, and damage to your sender reputation.
- Regularly clean lists: Schedule routine audits to remove invalid, duplicate, or inactive email addresses from your contact database.
- Monitor job changes: Use automated tools to track when contacts change jobs or companies, updating their information to maintain accuracy.
- Automate data hygiene: Set up automated systems that detect stale emails, enrich contact details, and remove junk data so your team can focus on connecting with leads.
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Trust, But Verify and Verify—Especially With Your Data In today’s world of burned domains and blocked emails, trusting your data without verifying it is risky business. Just the other day, I ran a focus list with 294 contacts—supposedly all verified. But when I ran it through FullEnrich, 72 of them came back with invalid emails. Imagine if I had dumped that list straight into a sequence. That’s 72 missed inboxes—and over time, that kind of oversight can damage your domain reputation. Moral of the story? Trust your data, but always verify. Use tools like FullEnrich or other email validation platforms before you hit send. It’s not just about sending—it’s about making sure your message gets delivered. More clean data = more conversations = more booked meetings. #prospecting #coldemail
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Your email list might be killing your performance. Here’s how we fixed it for three different dispensaries using AIQ.com (Alpine IQ) by cleaning out the junk. Most stores send to outdated, bloated lists. That means fake emails, failed deliveries, and people who haven’t engaged in years. The result? Higher costs, spam folder placement, and distorted metrics. Email hygiene is simple: > Remove invalid addresses > Suppress past failures > Exclude non-engagers One dispensary in California had 101,751 email opt-ins. We found 24,000 were invalid and failed every time they were sending mass blasts. They had been collecting fake emails for 5+ years and never cleaned their list. It crushed their Gmail reputation. Another had 57,219 emails and we removed 4,721 bad contacts. Another had 19,598, and we cleared out 2,182 invalid emails. We also removed over 4,000 customers that never opened a single email. Once cleaned, open rates went up (duh). Click rates improved. They paid less to send. No more wasting platform credits on emails no one sees. They even sent more messages to the people that engage and shop the most. When was the last time your list was cleaned? If you’re unsure, it’s time. We’ll audit your email health and show you how a real Retention System starts with who you send to, not just what you send.
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Clay & CRM Guide (Job Changes Problem) Having worked with multiple mid market companies the #1 reason why CRM gets messy and RevOps systems are broken is still job changes. So I wanted to share how I can you can now keep CRM Data Updated After 2-3 years your CRM is full of duplicates. 20-50% of the contacts have changed job. Your CRM data is now trash. You invested multiple 6 figures for a broken system that AEs don’t want to update since it has unusable data and it’s seen as a time waster. Here's how to solve it: 1) Connect your Salesforce/HS reports to Clay. You can connect multiple reports and you can create a schedule to get new contacts every day/week from the CRM to Clay in case new contacts are added by sales or marketing sources. 2) You just need the b2b email. Many talk about b2c emails but there’s low data coverage. Force every form to accept b2b emails only. Align AEs and SDR to only add contacts with a B2B emails. From the B2B email it is very easy to get the LinkedIn profile which is what we need. 3) From there you can get any personal or company data. Make this enrichment column to run every month and double check if the contact is still working at the same company. Everything runs on autopilot. 4) If the contact changed company, lookup the CRM using the old email and mark the contact as ‘left company’. Then check if the new record exists, if not add a new contact under the right account (if it exists). 5) Activation. If you have 300 paying customers, you are probably in touch with at least 1000 people. From 1000, 200 will probably change jobs this year. Activate the AEs when this happens, 200 warm intros is something HUGE for the pipeline if played in the right way. Congrats! You finally solved what 99% of mid market companies can't with 200$/m (You can download the PDF in the post)
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SDRs shouldn’t be hunting for contact data. Every hour an SDR spends validating emails or searching for phone numbers is time they could spend connecting with prospects. AI SDRs figured this out already - but you don't need to replace your SDRs entirely to automate contact data enrichment. Automate stale email detection, enrich contact info, and remove duplicates—without SDRs lifting a finger. The best part: they won’t even notice it’s happening. Solve one of the biggest pain points for SDRs and let them trust their data. When SDRs can rely on accurate information, their impact on revenue grows exponentially. Whether you use Frontier’s tool or not, I urge you to automate your data hygiene and let your team focus on selling. Your team will thank you, and your revenue will show the difference.