What data science patterns supercharge lead generation?
When it comes to lead generation, identifying patterns can be a game changer.
Leveraging the right data patterns can help you supercharge your lead generation strategy. By identifying these patterns, you can optimise your strategy and attract high-quality leads.
While the specific patterns that work best for your business may differ from others, there are some proven key patterns. Here are some of the best patterns for driving successful lead generation:
Customer behavioural patterns
Customer behavioural patterns can help you supercharge your lead generation. Analysing customer behaviour helps identify leads that are more likely to convert. By analysing things like customer purchase behaviour, for example, you’ll know what time of the month your customers are more likely to buy from you. You can use this data to target customers around their buying period. Keep an eye out and analyse some of the following:
Email open rates.
Social media interactions.
Predictive lead scoring
How likely are your leads to convert? Data science can help predict lead quality and likelihood of conversion. Through historical data, you can build predictive models that assign scores to each lead.
You can then prioritise your leads based on their potential to convert. Giving your leads a score will help your sales team prioritise more promising leads. The faster the time between your sales call and the lead submission, the more likely they are to convert.
Lead source patterns
Identifying lead source patterns can help you supercharge your lead generation. If you know which platform most of your leads are coming from, you’ll know where to focus your efforts. Analysing the performance of your lead sources will help to identify patterns. You'll be able to see which channels or campaigns are generating the best quality leads.
Some important patterns to look for when it comes to lead sources include:
Cost Per Lead (CPL).
Cost Per Sale (CPS).
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