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{"id":23886,"date":"2020-09-29T16:11:35","date_gmt":"2020-09-29T14:11:35","guid":{"rendered":"https:\/\/asdafrica.com\/?p=23886"},"modified":"2020-09-29T16:12:16","modified_gmt":"2020-09-29T14:12:16","slug":"increase-sales-with-a-crm-map","status":"publish","type":"post","link":"https:\/\/asdafrica.com\/increase-sales-with-a-crm-map\/","title":{"rendered":"Increase sales and operational efficiency with a CRM Map"},"content":{"rendered":"
Published on 31 August, 2020 | By Reena<\/a><\/h5>\n

Increase sales and operational efficiency with a CRM Map<\/h3>\n
\n

Location data in your CRM records is a valuable resource, which when used with the proper tool can help dramatically increase sales and operational efficiency. You can extract actionable insights and optimize productive work hours.<\/p>\n<\/blockquote>\n

\u00a0<\/span>Read on to identify the top 5 pitfalls of working with location data and how you can tackle them.<\/p>\n

1. Inefficient routes for field sales reps<\/h3>\n

If visiting customers takes up a large portion of your sales reps\u2019 time, planning optimal routes is a common challenge. Inefficient routes can waste ~25% of a sales rep\u2019s potentially productive work hours compared to following an optimal route.<\/p>\n

Solution:<\/strong>\u00a0A good map integration for your CRM allows you\u00a0to create optimal routes between your CRM leads or accounts while considering the real-time and historic traffic data as well as the planned departure times. Read locations directly from Zoho CRM records and eliminate the need to manually upload data into the route planner.<\/p>\n

2. Laborious analysis of geodata and lack of fast actionable insights<\/h3>\n

\u201cWhere are my customers clustered that would justify new local points of sale?\u201d<\/p>\n

\u201cFrom which areas did my leads come over the last week?\u201d<\/p>\n

\u201cIn which regions are my accounts with $10M+ lifetime revenue?\u201d<\/p>\n

If you\u2019re asking similar questions that take more than 30 seconds to answer, you might be missing out on an opportunity to extract value from your location data and incorporate geodata into your decision-making process.<\/p>\n

Solution:<\/strong>\u00a0Viewing your CRM data visualized on a map reveals useful patterns. A quality integration such as\u00a0Mapsly with Zoho CRM<\/a>\u00a0will give you the option to make map layers with custom markers based on your chosen criteria.\u00a0You can also set up custom CRM modules and custom fields to make the most of your location data.<\/p>\n

\u00a03. Slow and inaccurate geo-matching of prospects solely based on distance<\/h3>\n

Running geo-matching process off of Google Maps and CRM workflows that match the parties by zip codes alone can decrease a team\u2019s efficiency.<\/p>\n

Let\u2019s take a look at some examples:<\/p>\n