Dynamics 365 Customer Insights Journey (former Dynamics 365 Marketing)
Personalize customer experiences and strengthen customer relationships.
Attract the right prospects and nurture leads from email marketing, web landing pages, webinars, phone calls, and events using the Dynamics 365 Connector for LinkedIn Lead Gen Forms.
Use configurable templates and designer tools to set up your buyer’s journey and personalize experiences based upon customer engagement.
Enhance cooperation between sales and marketing – with lead management, tracking and information as provided in Dynamics 365. Pass on qualified leads; help sales staff to prioritise potential sales, shortening sales cycles in real terms by evaluating leads and nurturing. A joint sales and marketing funnel keeps all employees constantly updated, helping process optimisation.
Move prospects more efficiently through the marketing and sales funnel with automated workflows that optimize the buyer’s journey using marketing automation software.
Prioritize leads ready for sales engagement with multiple lead scoring models and sales readiness grades.
Share one source of information about contacts, leads, and customers to deliver consistent results across the buyer’s journey with Microsoft Dynamics 365 for Sales.
Use familiar Office 365 tools like built-in Word templates to easily create professional documents, Excel templates for analyzing marketing activities and SharePoint for collaboration with colleagues, leads, and customers.
Use embedded intelligence like dynamic segmentation to target the right audience, multiple lead scoring models to prioritize leads, and customer interactions insights to personalize engagement.
Track campaign performance and marketing activities with configurable dashboards and PowerBI analyzers.
Conduct online surveys to better understand your customer needs and apply learning to your marketing investments.
Use social insights to gain competitive intelligence, measure, and manage your brand reputation.
Bring transactional, observational, and behavioral data from popular data sources by using prebuilt connectors. Unify your data by resolving customer identities with recommendations based on AI and machine learning. Optimise customer engagement and drive personalised experiences.