{"id":28672,"date":"2024-05-22T07:06:38","date_gmt":"2024-05-22T07:06:38","guid":{"rendered":"https:\/\/www.teqfocus.com\/?p=28672"},"modified":"2024-06-27T10:04:39","modified_gmt":"2024-06-27T10:04:39","slug":"how-pharma-home-health-brands-win-with-hyper-transactional-data","status":"publish","type":"post","link":"https:\/\/www.teqfocus.com\/devstaging\/blog\/how-pharma-home-health-brands-win-with-hyper-transactional-data\/","title":{"rendered":"How Pharma & Home Health Brands Win with Hyper-Transactional Data"},"content":{"rendered":"

[vc_row full_width=”stretch_row” background_color=”custom” el_class=”custom_font” lg_spacing=”padding_top:100;padding_bottom:100″ md_spacing=”padding_top:80;padding_bottom:80″ sm_spacing=”padding_top:80;padding_bottom:80″ xs_spacing=”padding_top:80;padding_bottom:80″ custom_background_color=”#1e73be” background_image=”28686″ el_id=”GGGGG”][vc_column][vc_row_inner][vc_column_inner width=”1\/2″ content_position=”middle”][tm_spacer size=”lg:10″][tm_spacer size=”lg:10″][tm_spacer size=”lg:10″][tm_heading tag=”h1″ custom_google_font=”1″ font_weight=”600″ xs_align=”left” text_color=”custom” custom_text_color=”#ffffff” font_size=”lg:32″]How Hyper-Transactional Data is Rewriting the Rules and Empowering Pharma and Home Health Brands to Outpace the Competition[\/tm_heading][tm_spacer size=”lg:10″][tm_spacer size=”lg:10″][\/vc_column_inner][vc_column_inner width=”1\/2″ background_color=”custom”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_section full_width=”stretch_row” lg_spacing=”margin_top:45″][vc_row el_id=”Introduction”][vc_column width=”1\/6″][\/vc_column][vc_column width=”2\/3″][vc_column_text css=”.vc_custom_1716285239322{margin-bottom: 8px !important;}”]By<\/strong> Aditya Arora <\/strong><\/a>[\/vc_column_text][vc_column_text css=”.vc_custom_1719331817924{margin-bottom: 8px !important;}”]<\/p>\n

21st May, 2024<\/span><\/div>\n

[\/vc_column_text][\/vc_column][vc_column width=”1\/6″][\/vc_column][\/vc_row][vc_row el_id=”Introduction”][vc_column width=”1\/6″][\/vc_column][vc_column width=”2\/3″][vc_column_text css=”.vc_custom_1716274981679{margin-bottom: 8px !important;}”]<\/p>\n

In today’s rapidly evolving digital landscape, pharmaceutical and home health brands face mounting pressure to deliver personalized experiences that resonate with consumers. This is where the power of hyper-transactional data comes into play. This granular, real-time information not only offers a deeper understanding of customer behavior but also provides actionable insights to drive targeted engagement and fuel a significant competitive advantage.<\/span><\/p>\n

[\/vc_column_text][\/vc_column][vc_column width=”1\/6″][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/6″][\/vc_column][vc_column width=”2\/3″][vc_row_inner el_id=”Why_Sustainable_IT”][vc_column_inner][tm_heading tag=”h4″ custom_google_font=”1″ google_fonts=”font_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:500%20medium%20regular%3A500%3Anormal” font_weight=”600″ text_color=”custom” custom_text_color=”#1189d2″ css=”.vc_custom_1716275004171{margin-top: 8px !important;margin-bottom: 8px !important;}” font_size=”lg:30″]Understanding Hyper-Transactional Data[\/tm_heading][vc_column_text css=”.vc_custom_1716275014232{margin-bottom: 8px !important;}”]<\/p>\n

Hyper-transactional data goes beyond the basic demographics and purchase history typically captured by traditional analytics. It delves into the minutiae of customer interactions, tracking everything from website clicks and page views to social media engagement and mobile app usage. This comprehensive view allows companies to paint a vivid picture of individual preferences, motivations, and pain points.<\/span><\/p>\n

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For instance, a pharmaceutical company can use hyper-transactional data to track a patient’s journey through their website, noting which pages they visit, how long they spend on each page, and what actions they take. This information can be used to identify patterns in behavior and tailor content and messaging accordingly.<\/span><\/p>\n

[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=”1\/6″][\/vc_column][\/vc_row][vc_row md_spacing=”margin_bottom:45″][vc_column width=”1\/6″][\/vc_column][vc_column width=”2\/3″][vc_row_inner lg_spacing=”margin_bottom:45″][vc_column_inner][tm_heading tag=”p” custom_google_font=”1″ font_weight=”700″ text_color=”custom” custom_text_color=”#000000″ css=”.vc_custom_1716358978087{margin-top: 8px !important;margin-bottom: 8px !important;}”]Still Confused?[\/tm_heading][vc_column_text css=”.vc_custom_1716275073441{margin-top: 10px !important;margin-bottom: 10px !important;}”]<\/p>\n

In even simpler terms, Unlike traditional transactional data, which merely captures the “what” (e.g., a prescription refill or purchase of medical equipment), hyper-transactional data adds layers of context to reveal the “why,” “when,” and “how.” This includes;<\/span><\/p>\n

[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner lg_spacing=”margin_bottom:45″][vc_column_inner width=”1\/3″][tm_box_image style=”11″ el_class=”my_box111″ image=”28675″ heading=”Behavioral Signals” text=”Minute details of how patients and customers interact with websites, apps, and even physical spaces. Did they read a particular article about a new medication? How long did they spend on a product page?”][\/vc_column_inner][vc_column_inner width=”1\/3″][tm_box_image style=”11″ el_class=”my_box111″ image=”28676″ heading=”Environmental Factors” text=”The context surrounding interactions. Were they using a mobile device or desktop? What time of day was it?”][\/vc_column_inner][vc_column_inner width=”1\/3″][tm_box_image style=”11″ el_class=”my_box111″ image=”28677″ heading=”Emotional Cues” text=”Subtler indicators of interest or hesitation. Did they abandon a shopping cart? Did they click on a link in an email?”][\/vc_column_inner][\/vc_row_inner][vc_row_inner lg_spacing=”margin_bottom:45″][vc_column_inner][tm_image action=”popup” image=”28678″][\/vc_column_inner][\/vc_row_inner][vc_row_inner lg_spacing=”margin_bottom:45″][vc_column_inner][vc_column_text css=”.vc_custom_1716282974769{margin-top: 10px !important;margin-bottom: 10px !important;}”]<\/p>\n

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“74% of companies lack the full range of in-house skills and staff needed for effective personalization – Deloitte”<\/span><\/p>\n<\/blockquote>\n

[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner lg_spacing=”margin_bottom:45″][vc_column_inner][tm_heading tag=”h4″ custom_google_font=”1″ font_weight=”500″ text_color=”custom” custom_text_color=”#1189d2″ css=”.vc_custom_1716275482495{margin-top: 8px !important;margin-bottom: 8px !important;}” font_size=”lg:30″]Personalization – The Key to Customer Loyalty[\/tm_heading][vc_column_text]In the pharma<\/a><\/strong> <\/span>and home health<\/a><\/strong><\/span> sectors, personalization is paramount. Customers seek tailored solutions that cater to their unique needs and circumstances. By analyzing vast datasets, companies can segment their audience based on specific criteria such as demographics, medical conditions, or lifestyle choices.<\/span>[\/vc_column_text][vc_column_text]<\/p>\n

Imagine a home health center using hyper-transactional data to identify patients who have recently been diagnosed with diabetes. This allows them to proactively reach out with educational resources, personalized meal plans, and relevant product recommendations, fostering trust and loyalty in the process.<\/span><\/p>\n

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Armed with this in-depth understanding, pharma and home health companies can achieve a level of hyper-personalization that resonates deeply with their audience. This translates to;<\/span><\/p>\n

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