Let’s say your marketing team runs a campaign to 10,000 contacts. The design is great. The messaging is strong. Everyone’s excited. But what you don’t know is…
- 1,200 of those emails are invalid
- 800 are the wrong job function
- 2,500 people don’t even work at those companies anymore
- And dozens of contacts are duplicated – listed twice under different spellings
That’s 40%+ broken records.
The campaign goes out. Results come in. Low replies. High bounce rate. SDRs are frustrated. Your team wonders, “Did the messaging flop?”
No, it’s the data. But it’s hard to blame the invisible.
Bad Data Doesn’t Just Look Ugly – It Costs You Real Money
- Wasted time: SDRs chasing the wrong people or dialing dead numbers
- Wasted ad spend: Ads delivered to ghost contacts or wrong job titles
- Lower campaign ROI: More effort for fewer results
- Poor CRM performance: Duplicate records and bad info lead to errors, missed follow-ups, and pipeline confusion
- Damaged brand trust: Nothing screams “we don’t know you” like emailing someone who left a company 8 months ago
And here’s the kicker, most companies don’t even realize it’s happening.
They blame tools, messaging, timing… but not the thing holding everything together: the data itself.
“But Our Data Comes from a Big Name Vendor” – That may be true, but even the biggest names in the industry can’t promise perfect accuracy.
- Their data updates might be slow.
- They may rely only on automation.
- Or they may lack depth in key roles or industries.
At eCore, we hear it all the time:
“We had ZoomInfo, but the bounce rate was still high.”
“We used Clearbit, but the titles were all over the place.”
“We paid for enrichment, but still had to clean the file ourselves.”
Data isn’t valuable just because it came from a big platform. It’s only valid if it’s clean, current, and complete.
✅ What Good Data Feels Like
- Your emails reach real people
- Your SDRs book more meetings
- Your ads land in front of the right job titles
- Your CRM is organized, not overloaded
- Your GTM team actually trusts the records they’re working from
That’s the difference clean data makes. And once you’ve experienced it, there’s no going back.
How eCore Solves It
- We don’t just throw data over the wall.
- We validate every record before enrichment.
- We monitor job changes.
- We use a hybrid model (automation + AI + human review) to catch what others miss.
- And we refresh monthly, not annually.
Because you can’t afford to guess, and bad data is too expensive to ignore.
Take away:
You wouldn’t send your sales team into a meeting with the wrong name and title for the person they’re pitching. So why build your campaigns on contact data you haven’t checked?
The cost of bad data isn’t just in dollars. It’s in missed chances, wasted time, and lost momentum.
Let’s fix that.