The second stage in the buyer’s journey is consideration.
Prospects engage with your marketing activities to see if they like what you are selling. Marketing automation platforms capture these touchpoints and quantify them into lead scores (e.g. email open has lead score = +10).
Lead scores represent the level of interest.
Campaigns are run to generate interest through email nurture programs, web personalization, display ads (custom audiences), event platforms, and chatbots.
When your prospect’s lead score hits a threshold value, a prospect is labeled as a marketing-qualified lead (MQL).
MQLs are assigned to sales members. Lead assignment can be based on your sales team's working hours (through round robin), matched accounts (if prospect belongs to an account that is an existing account manager), the region your prospect lives in, or the product they’re interested in.
All interactions between your leads and your marketing team are made visible to Sales. And data enrichment providers can be leveraged to fill in the blanks for any missing information about your leads.
It’s up to your sales team to determine if an MQL represents pipeline and can be converted into an opportunity.
Amilliat can help you with marketing and sales alignment.
We’ll integrate your marketing stack into your marketing automation platform to create a comprehensive lead-scoring solution. We’ll set up your lifecycle stages to trigger data enrichment and your lead assignment rules.
We can provide your marketing team with campaign templates that work in harmony with operational setup. Or manage your marketing stack on an ongoing basis.
We’ll leverage your marketing data to your CRM to allow Sales to have better conversations with your leads. We’ll customize your lead object and configure your lead process to help your salespeople qualify leads.
Copyright © 2024 Amilliat - All Rights Reserved.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.