Lead prioritization
Engage your best leads first to maximize the chance of conversion
You’ll need a Faraday account to use this template. It’s free to sign up and you can use sample data to start.
The opportunity
For brands in industries like home services, financial services, and software, the lead stage of the customer lifecycle is critical. Successfully converting leads into paying customers can have a huge impact on a brand's growth and profitability.
But what exactly is the "lead stage"? In simple terms, it's the time between:
- A potential customer sharing their contact information
- That potential customer making a purchase or signing up for your service
This stage is particularly important in industries where the sales process involves significant interaction with the customer. Companies often spend considerable resources on converting leads — think call centers, in-home consultations, and creating personalized quotes. As you can imagine, these efforts add up.
However, not all leads are equal. Some are much more likely to convert than others. If a brand can predict which leads are most likely to become customers, it can prioritize its efforts and maximize the return on its investments.
The Solution
This is where Faraday comes in. Using advanced AI, Faraday helps brands optimize their lead conversion process by scoring leads based on their likelihood of converting. This scoring starts the moment a lead identifies themselves — when they first share their contact information — and continues throughout the entire lead-to-customer journey.
With Faraday’s lead prioritization, brands can:
- Identify high-potential leads early on
- Focus resources on the leads most likely to convert
- Maximize their sales team’s effectiveness and efficiency
How it works
Faraday's lead scoring is continuous, meaning brands can track a lead's potential at any point during the lifecycle. Once you know which leads are most likely to convert, you can prioritize your efforts. This could mean calling or emailing high-potential leads first, setting appointments faster, or offering personalized deals to those most likely to buy.
The value of lead prioritization
The benefits of prioritizing leads with Faraday are straightforward:
- Your resources are limited — whether that's your sales team’s time, your call center’s capacity, or your marketing budget
- Pursuing leads randomly results in average conversion rates
- Prioritizing high-potential leads results in better conversion rates
In other words, Faraday gives you more conversions for the same amount of effort, leading to a better return on investment.
Conclusion
If your brand is serious about improving lead conversion, Faraday’s AI-driven lead prioritization is a game-changer. By focusing on the leads most likely to convert, you can significantly improve your conversion rates and make your resources go further. Ready to see the difference Faraday can make for your business?
- Step 1
Ingest your data into event streams
This allows Faraday to understand what your data means. These links will guide you through ingesting the data necessary to power this template. - Step 3
Declare your prediction objectives
With your cohorts defined, it's easy to instruct Faraday to predict the necessary behaviors. Follow the docs with the link below. - Step 4
Define your lead scoring pipeline
Finally, deploy your prediction with the link below.
Deploy your lead prioritization predictions to . . .
Aurora (MySQL)
AWS Aurora Postgres
Azure SQL
BigQuery
Facebook Custom Audiences
GCS
Google Ads
Google Cloud SQL (MySQL)
Google Cloud SQL (Postgres)
Google Cloud SQL (SQL Server)
HubSpot
Iterable
Klaviyo
LinkedIn Ads
MySQL
Pinterest Ads
Poplar
Postgres
RDS (MySQL)
RDS (Postgres)
RDS (SQL Server)
Recharge
Redshift
Redshift Serverless
S3
Salesforce
Salesforce Marketing Cloud
Segment
SFTP
Shopify
Snowflake
SQL Server
Stripe
The Trade Desk
TikTok
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