First, clarify the purpose of your lead generation efforts. Do you want to build brand awareness, promote an event, or build a community?A clear purpose should guide you in strategy building. Reference your purpose to identify and describe the most suitable target audience, messaging, and the channels to source data for generating leads. Once you’ve figured these aspects out, create a lead qualification framework. A lead qualification or scoring system defines what measurable factors indicate a lead’s readiness to engage or take action. This is where data analytics will come in, helping you score or prioritize leads.
Tip: When figuring out messaging and the channels to acquire advertising database lead generation data, focus on personalization. This is more likely to improve engagement rates and ease the process of lead nurturing.
2. Implement the Strategy and Gather Essential Data
Deliver your message to the target audience and start collecting relevant data as defined in the lead qualification framework. Ensure you adapt your message to fit the best practices and formats of your select platform or channel. Remember, different channels including email, blog posts, or social media have varied communication features and serve specific purposes better.
Speak directly to your target audience just like you converse on a daily basis. Avoid jargon unless you have no other option. Then, use eye-catching visuals and a compelling call-to-action, pointing your audience towards the next action.
3. Clean and Analyze the Data
Once you have the relevant data, filter out contacts and other details that don’t meet the defined measurable factors indicating a lead’s readiness to take action or engage. Next, spot and eliminate duplicate records to avoid wasting time on recurrent leads. Also, standardize the formats of names, phone numbers, and emails to simplify analysis. Finally, use your select data analytics tactic to assign scores to leads based on insights drawn from the data.