Buying leads

How to evaluate a lead provider for wrong numbers

A significant percentage of wrong numbers from a lead provider wastes your team's time and money, indicating poor data quality or sourcing. Implement a consistent checking process to measure the accuracy of phone numbers provided and hold your lead sources accountable.

October 24, 2026 · 4 min read

The real cost of wrong numbers

Every minute your setter spends calling a wrong number is a minute not spent talking to a motivated seller. This means wasted labor costs, reduced overall call volume, and a lower effective conversion rate for your team. It directly impacts your bottom line.

Beyond direct labor, wrong numbers can skew your metrics. If your reported 'contact rate' or 'appointment set rate' includes efforts on bad numbers, it inaccurately portrays your team's actual performance. This makes it harder to identify real bottlenecks or successes in your process.

Furthermore, consistently calling wrong numbers can lead to frustration for your setters. This can negatively impact morale and even contribute to burnout. It's an issue that affects both your budget and your team's productivity and mental state.

Setting up a tracking system

To accurately evaluate a lead provider, you need a system to track wrong numbers. Your CRM or dialer should have a way to flag or categorize calls that result in a 'wrong number' or 'not the owner'. Train your setters to consistently use these dispositions.

For a new lead source, consider starting with a test batch of a hundred or two hundred leads. This gives you a statistically relevant sample size to assess the initial quality without committing to a large, potentially flawed order. Track these leads meticulously.

Regularly export this data. Analyze the percentage of wrong numbers within each batch received from a specific provider. This allows you to see trends over time and identify if quality is degrading or improving.

Initial checks for obvious issues

Before your setters even make calls, you can do some preliminary checks. For example, if a lead comes with multiple phone numbers, briefly check if any are obviously disconnected or generic business lines. Sometimes, a quick reverse phone lookup can flag glaring issues.

However, be careful not to over-filter. Some numbers that appear generic might still belong to the owner. The goal here is to catch obvious, easily identifiable bad numbers that would be a complete waste of time.

This pre-screening step should be quick. The bulk of your wrong number identification will happen during live dialing, as that's the most definitive way to determine if a number connects to the correct party.

Analyzing callback and opt-out data

Beyond direct 'wrong number' dispositions, analyze your callback and opt-out data. If a significant number of people who respond to your texts or answer calls state they are not the property owner, this is a strong indicator of bad data. These are not strictly 'wrong numbers' in the sense of being disconnected, but they are wrong contacts.

Look for patterns here. Are these 'not the owner' responses concentrated in leads from a specific provider or a particular type of lead? This insight helps refine your understanding of that provider's data quality.

Document these instances just as you would direct wrong numbers. They represent wasted effort and should be factored into your assessment of the lead provider's accuracy. A reply from someone who isn't the owner is still a bad lead for you.

Communicating findings to your provider

Once you have a clear picture of the wrong number rate, communicate your findings to the lead provider. Present them with your data and methodology. Be factual and objective; avoid emotional language.

Most reputable providers will want to understand your findings and work with you to improve data quality or offer credits for bad leads. If a provider is unwilling to address the issue, that's a significant red flag and a sign to look for alternatives.

Maintain clear communication channels. A good partnership with a lead provider involves open dialogue about lead quality. Holding them accountable for data accuracy helps both your business and theirs, as it pushes them to improve their sourcing.

Questions people ask

What's an acceptable percentage of wrong numbers?

There's no single universally 'acceptable' percentage, as it can vary by lead type and source. However, if your wrong number rate consistently exceeds a hypothetical 10-15% for a paid lead, it's likely too high and indicates a need to re-evaluate the source. For Speed to Seller, we strive for far lower, but you should track your own numbers.

Does skip tracing contribute to wrong numbers?

Yes, skip tracing, by its nature, can introduce wrong numbers or numbers not associated with the current property owner. The quality of the underlying data and the skip trace vendor's accuracy directly impact the percentage of bad numbers. This is why vetting your lead source's skip tracing process is crucial.

Can wrong numbers affect my texting compliance?

Using wrong numbers for texting can expose you to compliance risks if you message individuals who never consented to receive texts from you. Even if you are careful about opt-outs, reaching unintended recipients can lead to complaints or blockages. Always verify numbers when possible and respect opt-out requests, even from wrong numbers.