{"id":4073,"date":"2026-05-29T19:53:11","date_gmt":"2026-05-29T19:53:11","guid":{"rendered":"https:\/\/aaxonix.com\/resources\/?post_type=glossary&#038;p=4073"},"modified":"2026-05-29T19:53:11","modified_gmt":"2026-05-29T19:53:11","slug":"zia-email-sentiment","status":"publish","type":"glossary","link":"https:\/\/aaxonix.com\/resources\/glossary\/zia-email-sentiment\/","title":{"rendered":"Zia Email Sentiment"},"content":{"rendered":"<style>\n.gt-body { font-family:'Poppins',sans-serif; color:#111; line-height:1.75; }\n.gt-def { border-left:4px solid #E8650A; padding:16px 20px; background:#fff8f4; border-radius:0 8px 8px 0; margin:0 0 32px; font-size:1.05rem; }\n.gt-section { margin:0 0 36px; }\n.gt-section h2 { font-family:'Fraunces',serif; color:#0A1628; font-size:1.5rem; margin:0 0 12px; }\n.gt-section p { margin:0 0 12px; }\n.gt-example-box { background:#f0f4ff; border-radius:10px; padding:20px 24px; margin:0 0 32px; }\n.gt-example-box strong { color:#2563EB; }\n.gt-related-pills { display:flex; flex-wrap:wrap; gap:10px; margin:0 0 32px; }\n.gt-related-pill { background:#f7f4ef; border:1px solid #ddd8cf; border-radius:20px; padding:6px 16px; font-size:0.875rem; color:#0A1628; text-decoration:none; transition:all .2s; }\n.gt-related-pill:hover { background:#0A1628; color:#fff; border-color:#0A1628; }\n.gt-faq-item { border:1px solid #ddd8cf; border-radius:10px; padding:16px 20px; margin:0 0 12px; }\n.gt-faq-item h3 { font-size:1rem; color:#0A1628; margin:0 0 8px; }\n.gt-faq-item p { margin:0; font-size:0.9rem; color:#444; }\n<\/style>\n<div class=\"gt-body\">\n<div class=\"gt-def\">Zia Email Sentiment in Zoho CRM is an AI feature that analyses the tone of incoming emails from leads and contacts and classifies them as Positive, Negative, or Neutral. The sentiment classification appears on the email record, helping reps quickly gauge the mood of a conversation and prioritise their responses accordingly.<\/div>\n<div class=\"gt-section\">\n<h2>How Email Sentiment Works<\/h2>\n<p>When an email is received and logged in Zoho CRM (via the email integration), Zia analyses the text content using natural language processing to determine the overall sentiment. The result is displayed as a colour-coded label (green for positive, red for negative, grey for neutral) on the email in the CRM timeline.<\/p>\n<p>Negative sentiment emails can be configured to trigger alerts or workflow actions. For example, a workflow can create an urgent task for the account manager when a negative sentiment email arrives from a high-value account.<\/p>\n<\/div>\n<div class=\"gt-section\">\n<h2>Industry Example<\/h2>\n<div class=\"gt-example-box\"><strong>Retail Distribution:<\/strong> A retail distributor uses Zia Email Sentiment with a Workflow Rule: when a negative sentiment email arrives from a Contact linked to an Account with annual revenue above INR 50 lakhs, an urgent task is created for the key account manager and a notification is sent to the regional director. This ensures that dissatisfied high-value clients receive a prompt personal response before the situation escalates.<\/div>\n<\/div>\n<div class=\"gt-section\">\n<h2>Related Terms<\/h2>\n<div class=\"gt-related-pills\"><a href=\"https:\/\/aaxonix.com\/resources\/glossary\/zia-crm-ai\/\" class=\"sp-content-link gt-related-pill\">Zia (CRM AI)<\/a><br \/>\n<a href=\"https:\/\/aaxonix.com\/resources\/glossary\/email-insights\/\" class=\"sp-content-link gt-related-pill\">Email Insights<\/a><br \/>\n<a href=\"https:\/\/aaxonix.com\/resources\/glossary\/signal-notification\/\" class=\"sp-content-link gt-related-pill\">Signal Notification<\/a><br \/>\n<a href=\"https:\/\/aaxonix.com\/resources\/glossary\/workflow-rule\/\" class=\"sp-content-link gt-related-pill\">Workflow Rule<\/a><br \/>\n<a href=\"https:\/\/aaxonix.com\/resources\/glossary\/churn\/\" class=\"sp-content-link gt-related-pill\">Churn<\/a>\n<\/div>\n<\/div>\n<div class=\"gt-section\">\n<h2>Frequently Asked Questions<\/h2>\n<div class=\"gt-faq-item\">\n<h3>What is Zia Email Sentiment in Zoho CRM?<\/h3>\n<p>Zia Email Sentiment is an AI feature that automatically classifies incoming emails as Positive, Negative, or Neutral based on the language used. The classification appears on the email in the CRM timeline, helping reps and managers quickly assess the tone of customer communications without reading every email in full.<\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Zia Email Sentiment in Zoho CRM is an AI feature that analyses the tone of incoming emails from leads and contacts and\u2026<\/p>\n","protected":false},"template":"","meta":{"seo_title":"Zia Email Sentiment | Zoho CRM Glossary","seo_description":"Zia Email Sentiment in Zoho CRM is an AI feature that analyses the tone of incoming emails from leads and contacts and classifies them as Positive, Negativ","seo_keyword":"zia email sentiment zoho crm","seo_faqs":"[{\"q\": \"What is Zia Email Sentiment in Zoho CRM?\", \"a\": \"Zia Email Sentiment is an AI feature that automatically classifies incoming emails as Positive, Negative, or Neutral based on the language used. The classification appears on the email in the CRM timeline, helping reps and managers quickly assess the tone of customer communications without reading every email in full.\"}]","term_type":"Technical","glossary_related":"","glossary_links":""},"glossary_category":[1238],"class_list":["post-4073","glossary","type-glossary","status-publish","hentry","glossary_category-zoho-crm"],"_links":{"self":[{"href":"https:\/\/aaxonix.com\/resources\/wp-json\/wp\/v2\/glossary\/4073","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aaxonix.com\/resources\/wp-json\/wp\/v2\/glossary"}],"about":[{"href":"https:\/\/aaxonix.com\/resources\/wp-json\/wp\/v2\/types\/glossary"}],"wp:attachment":[{"href":"https:\/\/aaxonix.com\/resources\/wp-json\/wp\/v2\/media?parent=4073"}],"wp:term":[{"taxonomy":"glossary_category","embeddable":true,"href":"https:\/\/aaxonix.com\/resources\/wp-json\/wp\/v2\/glossary_category?post=4073"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}