官术网_书友最值得收藏!

  • Learning Salesforce Einstein
  • Mohith Shrivastava
  • 205字
  • 2021-07-02 21:43:59

Lead Insights

Lead scoring is a shared sales and marketing methodology to rank leads in order to determine their sales readiness.

Traditionally, in order to score leads, simple rules were used based on the lead behavior and interest toward the product or services.

Einstein Lead Insights uses a combination of data science and machine learning to discover the patterns of lead conversion in your business and predict which leads to prioritize. By using machine learning, Lead Insights provides a simpler, faster, and more accurate solution than the traditional rule-based lead scoring approaches.

With Salesforce Einstein, the components available for lead prediction are as follows:

  1. The Lead Score field is available for reporting to help sales representatives find the leads with the maximum score:
  1. Lightning Components shows the lead score and sales representatives which fields have a maximum impact on lead scoring:
  1. The Lead Insights Dashboard includes reports that show key lead score metrics for your organization. The three key reports provided by the Lead Insights Dashboards are as follows:
    • Average Lead Score by Lead Source
    • Conversion Rate by Lead Score
    • Lead Score Distribution--Converted and Lost Opportunities
We cover Lead Insights dashboards extensively in Chapter 9Measuring and Testing the Accuracy of Einstein.
主站蜘蛛池模板: 上杭县| 陇西县| 绩溪县| 托克托县| 乌鲁木齐县| 乌拉特中旗| 古交市| 抚松县| 新河县| 横山县| 荣成市| 清徐县| 衡阳县| 北川| 弥勒县| 延庆县| 鹤壁市| 隆德县| 虹口区| 洞口县| 酒泉市| 大安市| 穆棱市| 仪陇县| 桃园市| 高唐县| 荣昌县| 新河县| 南投县| 北川| 勐海县| 沾益县| 邵东县| 名山县| 荔波县| 汪清县| 鄂州市| 兴义市| 哈巴河县| 遂昌县| 乌兰察布市|