This lesson covers using AI during the Contact to Lead stage using the SAP Customer Experience solutions and in particular SAP Emarsys Customer Engagement. As businesses look for more efficient ways to manage contacts and marketing leads, AI technology has become an invaluable tool to identify and qualify potential leads.
Let’s explore the various ways in which AI is being used to streamline the lead generation process and improve the overall effectiveness of sales and marketing efforts:
- Data enrichment: AI can help enrich the contact details by automatically updating and validating the contact information, such as phone numbers and e-mail addresses, to ensure accurate and up-to-date information for leads.
- Contact segmentation: AI can assist in segmenting contacts based on various criteria such as demographics, behavior, and engagement, helping in targeted and personalized marketing and sales efforts.
- Personalized Messaging: AI-powered tools can create personalized, targeted messaging for leads by applying data insights and customer behavior patterns. This ensures that leads receive relevant and compelling content tailored to their specific interests and needs.
- Contact intelligence: AI can provide valuable insights into contact behavior, preferences, and needs, enabling sales teams to tailor their approach and communication strategies, ultimately improving lead conversion rates.
- Predictive Analytics: AI can analyze historical lead data and customer interactions to predict future lead behavior and likelihood of conversion. This helps businesses anticipate the needs of leads and tailor their outreach strategies accordingly.
- Lead scoring: AI can assist in scoring marketing qualified leads (MQLs) by analyzing contact information, behavior, and engagement to determine the likelihood of conversion, helping sales teams prioritize and focus on high-potential leads.
- Lead Data Enrichment: AI tools can automatically enrich marketing qualified leads data by gathering additional information from various sources, such as social media profiles, public records, and company web sites. This enriched data provides a more comprehensive view of leads and helps in crafting personalized outreach strategies.
These are some examples of how AI can be used during the Contact to Lead stage, demonstrating it's potential to enhance contact management and marketing qualified lead generation processes and drive more effective sales and marketing efforts.
Using AI with SAP Emarsys
Within SAP Emarsys, predictive AI allows marketers to reach customers anywhere, at just the right moment, with precisely tailored product and content suggestions.
We've all received irrelevant ads or e-mails that just don't resonate with us. This is what marketers are up against. Features like Predictive customer segments, send time optimization, channel personalization, and predictive recommendations have been a core part of the product–helping marketers anticipate and automate many of the factors involved in running marketing campaigns that capture attention and convert.
For example, you're about to launch a new e-mail campaign. SAP Emarsys analyzes customer behavior and predicts the optimal time when they're most likely to engage. For instance, if your data shows that your customers are most active on weekdays during lunch breaks, we recommend sending your campaign at that exact time for maximum impact.
The following image summarizes current SAP Emarsys AI capabilities:
Summary
In this lesson, we have learned about the sample use cases for AI during the Contact to Lead stage and how SAP Emarsys can use them.