Cold Calling Tips & Tricks: How to find phone numbers for Sales Prospecting

Cold calling is the process of calling potential customers who have not expressed interest in your product or service. It is a numbers game, and the more people you call, the more likely you are to find someone who is interested. However, it can be time-consuming and frustrating if you do not have the right data. 

According to a study by Sales Hacker, around 20% of the calling data that sales reps use is inaccurate or outdated. This can lead to a lot of wasted time and effort, as well as a low success rate. 

The trick to finding good, useful data is to be strategic about your research. Here are a few tips: 

  • Use a variety of sources. There are a number of online tools that can help you find phone numbers, such as LinkedIn, Clodura.AI, and Sales Navigator. You can also try searching for phone numbers on company websites or social media pages. 
  • Be specific in your search terms. The more specific you are, the more likely you are to find accurate results. For example, instead of just searching for "sales leads," try searching for "sales leads in the technology industry in San Francisco." 
  • Use filters. Many online tools allow you to filter your results by company size, industry, and other criteria. This can help you narrow down your search and find the most relevant leads. 
  • Verify your data. Once you have found some phone numbers, it is important to verify them before you start calling. This will help you avoid wasting time calling numbers that are no longer in use or belong to the wrong person. 

By following these tips, you can increase your chances of finding good, useful data for your cold calling campaigns. 

Cold calling is also one of the most effective ways to reach potential customers. And the numbers support this — with 57% of buyers preferring cold calls over other methods.  

So, what’s the hurdle? Around 20% of the calling data you have is inaccurate and outdated, making your entire calling process ineffective.  

What to do? The trick here is then to acquire good, useful data and spend minimal time doing so.  

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