Sales

The article “Lead Generation Strategies to Start Attracting Business Leads the Inbound Way” on the HubSpot blog offers a comprehensive guide to generating inbound leads. It covers topics such as defining a lead, the importance of lead generation, the lead generation process, and strategies for generating and qualifying leads. It also offers tips on setting up effective lead generation campaigns and discusses lead generation trends and benchmarks.

Sales prospecting is a crucial pillar of any effective sales process. It is more than a nice-to-have: prospecting helps ensure that the leads you communicate with have a direct or potential interest in a solution like yours.

Through my experience in sales and marketing, however, I have learned first-hand that identifying and qualifying suitable sales opportunities can be as frustrating as it is essential. That is why I have put together this guide to effective prospecting techniques.

Here you will find everything you need to navigate the prospecting process like a professional.

To make things easier, work with a CRM. Why? Find out here!

By focusing on tracking sales activities in your CRM, you can analyse which actions help potential customers progress through your sales process. Understanding precisely which factors move a deal forward enables better decisions about the next steps needed to close similar deals successfully in future.

Logging activities also helps you recognise warning signs when a deal is starting to slip away. You can then intervene in time and give it the attention needed to get it moving again.

Which sales activities should you track?

There are countless activities you can track in your CRM system, which can feel overwhelming. It is important to recognise that the activities you need depend on:

• The type of product or service you sell.

• The length of your sales cycle.

Even so, there are several essential sales activities you can track to keep your pipeline moving smoothly. Here are some important sales activities and what to consider when tracking them.

It may sound obvious, but your sales organisation cannot operate effectively without tracking performance metrics. To understand why your organisation is performing below or above expectations, you need a clear, detailed view of the results achieved. Analysing these data is the only way to identify the causes of success or shortcomings and make targeted adjustments. Here are the key performance metrics tracked by sales professionals.

Why high-quality data is essential for successful sales

Now that you understand why tracking data and maintaining databases matters so much in sales, remember that not all data are equal. There is a big difference between data and high-quality data. You need to trust the data entered into your database to trust the insights you draw from it. This applies to both qualitative and quantitative data.

• Qualitative data describe properties or characteristics, such as location, name or job title.

• Quantitative data express quantities or numbers, such as salary or company size.

The importance of detailed data in sales

Imagine a salesperson taking notes on all their sales conversations, but keeping those notes superficial:

• “The customer liked the feature.”

• “The prospect was confused about the product offerings.”

If you later want to analyse these data as a sales operations specialist, you immediately encounter problems: Which feature did the customer like? Why was the prospect confused? Which product offerings did they have questions about?

Without detailed, structured notes, following up on deals becomes harder, and so does improving sales performance. You simply do not know what needs to change or where you can improve.

Data hygiene in CRM systems

That is why CRM users need to practise data hygiene: the process of keeping the data in a database clean and of high quality. Information in a CRM such as Salesforce needs to be accurate, detailed and up to date.

Read this Forbes article on data hygiene best practices to discover how businesses keep their data clean and reliable. The article frequently refers to “big data”, a formal term for all the data a company collects from different sources.