Pharma marketers must find a way to strike a healthy balance where HCP behavioural data and digital footprint are used complementarily in combination with face-to-face approaches at events in real time to enable deeper connections and ultimately result in increased interest, engagement and learning ...
Updating consent and preferences, opt-outs or unsubscribing should be as simple and accessible as giving the original consent, and should be independent of the need to be in the presence of a pharma employee (field user). A permanent audit history of consent signing, the date and time, the ...
For the most part, the segmentation components above have been developed in online campaigns, where the marketer is distant from the customer. But the pharma market lives in a different, much more individual reality with CRM and rep calls serving as a good launchpad. Pharmaceutical segmentation ...
Possible distribution via social media campaigns and integrations with CRM systems. Who Benefits? Pharma Transform your key messages into compelling patient simulations, facilitating case-based knowledge transfer interactions. read more CME/CPD Engage HCPs with unique activities and obtain valuable data on...
Read blog post How pharma can be more HCP-centric: 4 insights from GSK Watch demo Veeva Vault CRM Engage: Connect capabilities Watch demo Veeva Vault CRM Engage: share capabilities Watch demo Veeva Vault CRM Engage: Sign CapabilitiesInterested in learning more? Contact Us Download Product Sheet ...
“Ultimately, Aktana Strategy Suite enables brand and commercial leaders to deliver pharma launches that are consistently more successful and sustainable.” Strategy Hub and Tactic Genie will be available to beta customers in the US in Q4 2023, and generally available in Q1 2024. Impact Simulator ...
inFierce Pharma, “On average, 78% of HCP interactions are in person and 22% are digital, per data collected by Veeva [an Aktana partner]. At companies that push inbound channels, the mix shifts to 42% in-person and 58% digital.” This emphasizes how imperative it is that LS ...
Machine learning is pivotal for accurately predicting how an email message will be received in the future. The method proposed uses machine learning models to collect baseline HCP reactions or message history data and uses it to predict the probability of an email being opened or clicked throu...
Machine learning is pivotal for accurately predicting how an email message will be received in the future. The method proposed uses machine learning models to collect baseline HCP reactions or message history data and uses it to predict the probability of an email being opened or clicked through....