Copilot

Copilot by Breadcrumbs is a tool that automates the creation of your lead scoring models, helping businesses prioritize their leads effectively and make informed decisions based on data-driven insights.

Copilot by Breadcrumbs leverages the power of machine learning to streamline and optimize the lead scoring process. It starts by ingesting data from your various sources, such as CRM, MAP, and product analytics tools. This data can encompass demographic details, interaction history, online behaviors, and even product usage patterns.

Once it has this data, Breadcrumbs Copilot employs machine learning algorithms to analyze it and identify trends, patterns, and correlations. These insights are then used to create predictive lead scoring models. Each model is designed to assess leads based on their likelihood to convert into customers, considering a multitude of factors instead of just one or two.

This automation not only reduces the amount of manual work required to score and prioritize leads, but also increases the accuracy and efficiency of the process. By automating the creation of multiple scoring models and the prioritization of leads, Breadcrumbs Copilot enables your sales team to focus their efforts where they’re most likely to yield results–on the highest scoring leads.

Copilot by Breadcrumbs leverages advanced machine learning technologies to automate the creation of lead scoring models. These technologies enable it to analyze large volumes of data and generate accurate suggestions to create a predictive lead scoring process.

How does predictive lead scoring work?

Predictive lead scoring is a method that uses statistical algorithms and machine learning to predict which leads are most likely to convert into customers. Here’s how it typically works:

1. Data Collection: Predictive lead scoring starts by collecting data about your leads. This can include demographic information, behavioral data (like website visits or email interactions), and firmographic data (for companies in B2B markets).
2. Data Analysis: Once the data is collected, machine learning algorithms analyze this information. These algorithms can process vast amounts of data and identify complex patterns that humans might miss.
3. Model Creation: The machine learning algorithm uses this analysis to create a predictive model. This model essentially represents the “ideal lead” based on historical data about which leads have converted in the past.
4. Lead Scoring: Each new lead is then scored against this model. The score represents the likelihood that the lead will convert, based on their similarity to the “ideal lead.”
5. Continuous Learning: The beauty of machine learning is that it continuously learns and improves. As more data becomes available, the algorithm refines its model and improves its accuracy.

The result is a dynamic, data-driven approach to lead scoring that can help businesses prioritize their sales efforts, get inbound leads, increase conversion rates, and drive revenue growth.

Yes, Copilot by Breadcrumbs allows you to customize your lead scoring system to suit your business needs. You can create multiple scoring models and adjust your scoring criteria as needed.

By providing data-driven insights into your leads’ behaviors and potential to convert, Breadcrumbs Copilot helps you make informed decisions about which leads to prioritize and engage with.

Copilot by Breadcrumbs can improve your sales and marketing strategies by automating lead scoring and providing predictive analytics. This lets you focus your marketing and sales efforts on high-potential leads, improving efficiency and conversion rates.

To create a comprehensive and accurate lead scoring model, Copilot by Breadcrumbs utilizes a wide variety of data sources. This includes:

1. CRM Data: Customer Relationship Management (CRM) systems are a treasure trove of valuable information about your leads. This can include demographic details like age, location, and job title, as well as interaction history, such as past purchases or service requests. By integrating with your CRM, Breadcrumbs Copilot can analyze this data to identify patterns and trends that indicate a lead’s likelihood to convert.
2. MAP Data: Marketing Automation Platforms (MAPs) track online behaviors that can provide insights into a lead’s level of interest or intent. This includes actions like email opens, website visits, content downloads, and more. Breadcrumbs Copilot uses this data to further refine your lead scoring system.
3. Product Analytics Data: If you’re a software company or have an app, product analytics tools can provide valuable data about how leads are interacting with your product. This can include usage frequency, feature usage, session length, and more. This data can help Breadcrumbs Copilot identify highly engaged leads that are more likely to convert.

By aggregating and analyzing data points from these different sources, Breadcrumbs Copilot is able to create a holistic view of each lead. This allows it to score leads not just based on a single factor, but on a combination of factors that together provide a more accurate indication of their conversion potential. This multi-dimensional approach to lead scoring helps ensure that your marketing and sales team is focusing their efforts on the leads that are most likely to become customers.

Copilot by Breadcrumbs sets itself apart with its advanced machine learning capabilities, customizable scoring models, and ability to provide data-driven insights that inform critical business decisions.

Together with Reveal, it’s the backbone of Breadcrumbs’ flagship product that lets you create, implement, and optimize your lead scoring process in hours (not weeks.)

Find qualified leads for your business with our powerful lead scoring software. Our platform helps you identify and reach potential customers, increase sales, and grow your business. By using data-driven strategies, we can help you find high-quality leads that are more likely to convert into paying customers (we do retention, upsell, and cross-sell, too!)

Breadcrumbs route scoring information back to your CRM or MAP system. This way, your sales reps and marketing teams can immediately act on hot leads and accounts when intent occurs.

Great question! That’s super easy; just create your free Breadcrumbs account and:

1. Connect your data. Connect your lead and customer data with no-code connectors to popular tools like HubSpot, Marketo, Salesforce, Mixpanel, Intercom, and more.
2. Run a Reveal analysis. Let us know what segment of contacts we should use to define success. i.e., all paying customers or paying customers on specific plans.
3. Get data-driven suggestions. Copilot by Breadcrumbs leverages the same always-on ML analysis of Reveal to build your data-driven scoring model, suggesting a list of high-impact attributes and actions.

After that, you can edit and activate your scoring model in just a few clicks.

Breadcrumbs Copilot is free, and no credit card is required to get started. Once your data-driven scoring model is ready, the next logical step is to activate it and route the information back to your CRM or MAP using Breadcrumbs’ flagship product.

Creating your model and running it in test mode is always free, but if you want to take full advantage of our lead scoring platform, our PRO plan starts as low as $400 a month. However, we never let price stand in the way of helping companies get on the path to Revenue Acceleration. Let’s have a chat and see how we can help you hit your Revenue Goals.