View source for SL09/Canonical

{{SMART Meta
|SolutionCategory=SL
|Solution=Sales
|Title=Genesys Predictive Engagement
|Subtitle=Use machine learning powered journey analytics to monitor website activity, predict visitor outcomes, and proactively engage with prospects and customers
}}
{{SMART Canonical
|ID=
|PlatformChallenge=It’s challenging to identify the right individual, the best moments, and the optimal ways to engage online. Companies want to shape their customers’ journeys and drive them towards desirable outcomes, but it’s hard to utilize all of the available data in a way that is meaningful and actionable. In addition, consumers expect fast answers, but growing your inside or eCommerce sales staff is costly.
|PlatformSolution=Proactively lead customers to successful journeys on your website. Apply machine learning, dynamic personas, and outcome probabilitiesto identify the right moments for proactive engagement via a web chat.
|PainPoints=*Inability to see, understand and engage in real time with customers and prospects across channels.
*Low conversion rate on website.
*Poorly utilized inside sales staff.
*Difficulty in creating and converting qualified online sales opportunities.
*Low optimization of website user journeys of efficient engagement through self- and assisted- service.
|DesiredState=*Use journey analytics to detect where customers or prospects struggle on a website. Use this information to engage a sales rep at the critical point in the sales process.
*Identify the visitor's segmentation, monitor their web behavior, and predict their outcome score related to the online purchasing process to define rules on when intervention is necessary.
*Proactively engage with prospects via chat or content offer if this score drops below a defined threshold while on the website.
*Identify hot leads on the website via customer browsing behavior and predict customer likelihood to perform a specific action.
|HighLevelFlowLucid=https://www.lucidchart.com/documents/edit/aa57095f-7276-4379-9221-38b3d5b3f633/0
|BuyerPersonas=Chief Marketing Officer, Head of Marketing Operations, Head of Sales Operations
|QualifyingQuestions=# <span>What insights do you have about the behaviors that determine whether a website "browser" will become a customer?</span>
# <span>How do you know when to engage with online customers to increase your sales conversions?</span>
# <span>Which channels of engagement can you use today to proactively to engage visitors to your website?</span>
|DataSheetImage=SL09 - genesys predictive engagement for sales - header (2).png
}}
{{SMART DataSheetFlow
|Flow=Consumer is browsing on website
}}
{{SMART DataSheetFlow
|Flow=Online journey tracked and likelihood to buy,  to request a quote, to fill in a form or downloading a document assessed...
}}
{{SMART DataSheetFlow
|Flow=System predicts the right moment to engage the consumer
}}
{{SMART DataSheetFlow
|Flow=At the right moment the consumer is offered a chat session
}}
{{SMART DataSheetFlow
|Flow=Sales Rep and consumer connect to resolve issues and complete the purchase
}}
{{SMART Benefits
|CanonicalBenefitID=Improved Employee Productivity
|CanonicalBenefit=Representatives are empowered with real time customer journey data from your website which allows them to personalize and prioritize engagements with prospective and existing customers.
}}
{{SMART Benefits
|CanonicalBenefitID=Increased Revenue
|CanonicalBenefit=Accelerate sales and conversion rates by engaging online shoppers in real time at the right time as they browse your website. Grow customer lifetime value through more proactive and personalized service and cross-selling and upselling customers on products or services of greatest value to them.
}}
{{SMART Benefits
|CanonicalBenefitID=Reduced Volume of Interactions
|CanonicalBenefit=Improve self-service rates by providing customers with the right information at the right time or proactively offering a chatbot to automate the conversation and prevent contact with an agent.
}}