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Why Bad Data Hurts Your Connect Rate (And Costs You Money)

What Is a Connect Rate?

Your connect rate is simple: it’s how many people actually answer when you call them. If you dial 100 phone numbers and 20 people pick up, your connect rate is 20%.

For cold callers and call centers, this number matters a lot. A low connect rate means your team spends most of their day listening to busy signals and voicemails instead of talking to real people.

Here’s the problem: Bad data kills your connect rate. When your contact list has wrong numbers, disconnected lines, or old information, your agents waste hours calling numbers that go nowhere.

Good teams connect with 20-30% of their calls. Teams with bad data often connect with less than 10%. That’s a huge difference.

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Bad data creates four big problems:

When phone numbers are old or wrong, nobody answers. Your dialer keeps calling, but your agents just sit there waiting. If 30% of your list has bad numbers, you’re wasting almost one-third of your calling time.

Calling a work phone at 8 PM? Nobody will answer. Calling a cell phone during business hours? It goes to voicemail. Bad data doesn’t tell you which type of phone you’re calling, so you’re always guessing.

Mobile numbers get 3-5 times more answers than landlines for most sales calls.

Your list says to ask for John, but John left the company two years ago. The person who answers hangs up immediately. Bad data wastes the few connections you actually make.

Calling the same person three times in one day because your list has duplicates? They’ll mark you as spam. Once that happens, they’ll never answer your calls again.

Bad data doesn’t just mean fewer conversations. It costs real money:

  • Wasted time: You’re paying agents to dial numbers that never connect
  • Higher costs: You need more dials to reach the same number of people
  • Tired teams: Nobody likes making 100 calls to talk to 8 people
  • Lost opportunities: While you’re calling dead numbers, your competitors are talking to your prospects

Here’s the math: A 10-person call center costs about $1,600 per day in wages. If bad data drops your connect rate from 25% to 12%, you’re burning $832 every single day on unproductive calling.

That’s over $200,000 per year – just wasted.

Run these quick checks:

Check 1: Look at how many calls get marked as “disconnected” or “wrong number.” If it’s more than 15%, your data needs help.

Check 2: Count how often agents write notes like “wrong person” or “company closed.” This means your information is outdated.

Check 3: Check how old your lists are. Contact data goes bad at about 2-3% every month. A list that’s one year old? About 30% of it is probably wrong now.

Check 4: Pick 50 random numbers and try calling them yourself. Your results will show how bad the whole list is.

Here are seven steps that actually work:

Use tools that check if a number works before your team calls it. These tools tell you if a number is disconnected, if it’s a cell phone or landline, and if it’s likely to connect.

Get multiple phone numbers for each person when possible. More ways to reach someone means better chances of connecting.

Set up your system to automatically remove numbers that bounce back as disconnected. Don’t keep calling numbers that don’t work.

Use software that finds duplicate contacts – even when they’re spelled slightly different. One contact record per person, always.

Rate your contacts by how good the data is. New contacts with verified numbers? Call those first. Old contacts with no verification? Call those last (or not at all).

Mark any contact older than six months for review before calling. Don’t let your team waste time on ancient data.

After every call, agents should update the contact record. Mark what happened: wrong number, correct contact, left voicemail, etc. This keeps your data fresh.

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Let’s look at real numbers:

Before cleaning data:

  • 3,200 calls per day
  • 12% connect rate = 384 conversations
  • Cost per conversation = $4.17

After cleaning data:

  • 3,200 calls per day
  • 24% connect rate = 768 conversations
  • Cost per conversation = $2.08

You get twice as many conversations at half the cost per conversation. Same team. Same budget. Just better data.

One sales team increased their connect rate from 14% to 28% in six months. They didn’t hire more people or change their script. They just fixed their data problem. Their cost per conversation dropped by 47%.

How often should I update my contact list? Every 3-6 months for business calling. Every 6-12 months for consumer calling. People change jobs and phone numbers constantly.

What’s a good connect rate? Business cold calling: 15-25%. Consumer telemarketing: 8-15%. If you’re below these numbers, bad data is probably hurting you.

Can I clean data myself? Only if you have less than 1,000 contacts. Bigger lists need automated tools because manual checking takes too long and costs too much.

Bad data is quietly killing your calling results. Every wrong number and disconnected line steals time from actual sales conversations.

The fix isn’t buying more lists. It’s using better quality data and keeping it clean.

Teams that focus on data quality make more connections, have better conversations, and close more deals. Teams that ignore data quality keep wasting time and money on calls that never connect.

Action steps for today:

  1. Check what percentage of your calls are disconnected
  2. Calculate your cost per conversation
  3. Start verifying phone numbers before you dial
  4. Review your data quality every week
  5. Track your connect rate improvements monthly

Your agents work hard. Don’t make them waste time calling bad numbers. Give them good data, and watch your connect rate climb.

Ready To Give Your Team Better Calling Results? Get Started With Klozer And Eliminate Wasted Time On Bad Data. [www.klozer.io]

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