Data quality and other implicit lead evaluation criteria
Posted: Wed Jan 29, 2025 3:43 am
Sometimes the quality of a lead's data can tell you how well they match your ideal buyer profile. Data quality scoring rules are typically used to discount leads with lower quality and focus on leads with good data quality.
Examples of data quality scores may include: lowering the lead score if the email address is located on a public email domain ( Gmail . com , yahoo . com , mac . com , hotmail . com , etc.); if the first or last name does not contain any vowels; or if the "suspected company" name is based on an ISP IP address rather than a corporate domain.
Finally, you can also increase or decrease the lead score based spain phone number data on information gleaned from their geographic location. This is especially useful if you only operate in certain countries.
Focus on data evaluation
Data scoring is a very simple type of lead scoring that only considers the completeness of the information provided in your CRM or marketing automation systems and is best used in conjunction with a more comprehensive lead scoring program. With this type of scoring, a lead receives 100% of the score if all key information is provided in full, and 50% if only half of the data is available.
This type of scoring can provide a triple boost to improve the sales process:
1. Fully-informed leads improve communication.
2. You can scale your marketing efforts because you know all of your leads' contact points: email, post office, phone numbers, etc.
3. Profile completion is often completed as the lead approaches closing the deal and highlights their readiness to buy.
However, there is one inherent flaw with this information: it is much easier to find data on public companies than on private ones. Do you really want to leave the valuation information about your private company to chance?
Examples of data quality scores may include: lowering the lead score if the email address is located on a public email domain ( Gmail . com , yahoo . com , mac . com , hotmail . com , etc.); if the first or last name does not contain any vowels; or if the "suspected company" name is based on an ISP IP address rather than a corporate domain.
Finally, you can also increase or decrease the lead score based spain phone number data on information gleaned from their geographic location. This is especially useful if you only operate in certain countries.
Focus on data evaluation
Data scoring is a very simple type of lead scoring that only considers the completeness of the information provided in your CRM or marketing automation systems and is best used in conjunction with a more comprehensive lead scoring program. With this type of scoring, a lead receives 100% of the score if all key information is provided in full, and 50% if only half of the data is available.
This type of scoring can provide a triple boost to improve the sales process:
1. Fully-informed leads improve communication.
2. You can scale your marketing efforts because you know all of your leads' contact points: email, post office, phone numbers, etc.
3. Profile completion is often completed as the lead approaches closing the deal and highlights their readiness to buy.
However, there is one inherent flaw with this information: it is much easier to find data on public companies than on private ones. Do you really want to leave the valuation information about your private company to chance?