Streamline Your Lead Scoring: How to Automate Your Process with Copilot

Are you tired of manually scoring your leads and finding that it’s taking up too much of your time? Do you want to increase your accuracy, efficiency, and revenue while still being in control of your critical business decisions?

Meet Copilot, Breadcrumbs’ powerful lead-scoring tool that automates your lead-scoring process AND puts you in the driver’s seat.

It does that by combining lead scoring automation with the ability to make critical business decisions and takes your lead scoring to the next level.

Want to learn more? Let’s dive in!

How ML Can Enhance Lead Scoring

Lead scoring is a crucial component of sales and marketing strategies. It enables sales teams to concentrate their efforts on leads with the greatest potential to become customers by assigning them a numerical value. Prioritizing leads that are more likely to convert is an awesome way to get the most out of your sales efforts.

We may be biased, so don’t take our word for it. When you consider that companies that use lead scoring to qualify leads see a 77% greater marketing ROI, It’s easy to understand why.

Let’s delve deeper into the benefits of lead scoring and how incorporating machine learning can enhance the process while still allowing you to maintain control over critical business decisions.

Why lead scoring

Lead scoring is a smart strategy that helps identify and prioritize leads more likely to convert. Some benefits of this approach include:

1. Align sales and marketing teams. Lead scoring can help sales and marketing teams get on the same page. By identifying which leads are worth pursuing, both teams can work together more effectively to convert prospects. This collaboration leads to better communication and a more cohesive strategy, ultimately resulting in increased revenue.

2. Identify hot prospects faster. Assigning scores to leads is a smart way for businesses to find and prioritize the best prospects. It’s a time-efficient approach that ensures valuable resources are invested in nurturing leads most likely to convert. This results in a more productive sales process and higher conversion rates.

3. Enhance personalization. Lead scoring helps businesses personalize their marketing efforts for each prospect based on their needs and preferences. By analyzing lead data, you can identify what prospects are interested in and what they find challenging. Personalizing content helps you connect with prospects better and increases the chances of conversion.

4. Reduce lead response time. If you want to improve your chances of converting leads, it’s time to start thinking about ways to reduce lead response time. For that, you need a good lead-scoring system. This will help you identify the high-potential leads and allow sales to prioritize their outreach efforts. By responding to these leads quickly, you can improve the prospect’s decision-making process and increase the likelihood of conversion.

The Impact of Machine Learning on Lead Scoring Efficiency

Machine learning (ML) can play a crucial role in improving lead scoring by analyzing vast amounts of data to identify patterns and trends that may not be apparent to humans. ML-driven lead scoring models can continuously learn and adapt, producing more accurate and up-to-date lead scores. This enhanced accuracy enables you to make better-informed decisions regarding which leads to prioritize and nurture.

However, despite the benefits of incorporating ML into your lead-scoring process, it’s essential to maintain control over critical business decisions. While ML can provide valuable insights and recommendations, it’s still crucial for businesses to have the final say in deciding which leads to pursue and how to allocate resources.

Don’t get me wrong. Having Machine Learning algorithms can give you a significant advantage over your competition. But it’s important to remember that even the most advanced technology sometimes can’t handle tasks fast enough.

ML is as good as the data it’s trained on. If you’re an early-stage company with a very clear ICP in mind but few paying customers, an ML system will not perform well because of the small dataset.

The same problem applies to large companies that are launching new products or adopting a new business strategy. For example, if 99% of your customers are SMBs and you now want to use Lead Scoring to identify Enterprise opportunities, a Machine Learning system will never be effective for you because its training is based on SMBs.

That’s why it’s crucial to have a solid strategy in place to complement your use of Machine Learning if you want to stay ahead of the game.

By combining the power of ML with human oversight, businesses can reap the benefits of a more accurate and efficient lead-scoring process without sacrificing control. This balanced approach allows you to leverage the advantages of ML-driven lead-scoring models while still making informed decisions based on your unique needs and objectives.

We believe that everyone should get Enterprise Grade Lead Scoring, and that’s exactly why we are releasing Copilot today. 

Copilot: The Ultimate Tool for Automated Lead Scoring

What is Copilot, you ask? It’s a tool by Breadcrumbs that creates custom scoring models tailored to your specific business objectives and needs. With just a few simple clicks, Copilot analyzes your data and generates a comprehensive model that suggests the best approach for you. But don’t worry; you’re still in control and can make changes to the model at any given point.

We understand that data analysis and model creation can be intimidating, which is why Copilot is designed to be user-friendly and easy to understand. With its lightning-fast speed, you can create a scoring model in seconds without any extensive expertise or resources.

But what sets Copilot apart from other automated lead scoring tools is its transparent and explainable design, focusing on human-centric observability. This means that you can understand how the system works and why it makes specific decisions. 

Additionally, Copilot is fully customizable, ensuring that you can tweak the model to suit your business needs precisely.

Getting Started with Copilot

Now that you know the benefits of automating your lead scoring with Copilot, you may be wondering how to get started. 

The good news is that getting started with Copilot is easy! All you need to do is sign up for a free account and connect your data source (like HubSpot, Salesforce, MixPanel, etc.). From there, Copilot will analyze your data and generate a custom scoring model tailored to your specific business needs.

The entire process literally takes 5 minutes:

• Create a free account
• Connect your data sources (we integrate with the most popular data sources, such as HubSpot and Salesforce) and run a complete Reveal analysis.
• Choose the lead scoring categories with the higher impact based on fit criteria, activity, recency, frequency, and weighting.
• Review your model and edit it if needed by incorporating additional categories or by changing the weightings of existing variables.
• Activate the scoring model to start receiving accurate lead scores in real time

Get started with Copilot today! Sign up for a FREE Breadcrumbs account.

Lead Scoring + Copilot = <3

In conclusion, lead scoring is a vital aspect of sales and marketing efforts that can significantly impact a business’s success. By incorporating ML into your lead scoring process, you can enhance the accuracy and efficiency of your lead prioritization, ultimately increasing conversion rates and revenue. 

However, maintaining control over critical business decisions is essential to ensure that your sales and marketing strategies align with your unique objectives. With tools like Copilot, businesses can strike the perfect balance between leveraging ML-driven lead-scoring models and maintaining control over their decision-making process.

So what are you waiting for? Sign up for FREE today and see for yourself how Copilot can take your lead scoring to the next level!