ACCNITE onDemand

ACCNITE onDemand is an integrated investor relations CRM solution. The cloud-based application digitises and simplifies investor relations workflows centred around investor engagement, shareholder intelligence and investor targeting.

Shareholder ID

Get latest insights into your shareholder base. Analyse the behaviour of your institutional investors on an ongoing basis using the extensive shareholder database and benefit from detailed investor profiles.

Investor Targeting with Artificial Intelligence

The engine’s algorithms identify investors for you. Learn which accounts are most relevant based on scoring and portfolio metrics.

CRM for Investor Relations

Benefit from a variety of important features, that support you in building long-term relationships with the right investors.

Event Management

Digitally map your investor meetings or simply arrange your appointments directly using the integrated meeting management module.

Feedback

The fully digitized feedback process makes it easy for your investors to provide feedback and gives you a continuous overview of investor perceptions.

Reporting

Generate automated board reports on event level as well as on periodic reporting.

Build lasting investor relationships

Allow for efficient meeting preparation to make the most of your airtime with investors. Connect your engagement history with our comprehensive data on assets under responsibility, portfolio KPIs, investment behaviour and investor potential.

Analytics

Keep track of your team's activities and measure their impact. Learn from your own work by connecting your proprietary data with shareholder activities.

With ACCNITE onDemand you benefit from the ease of use and cost advantage allowing you to deploy your resources meaningfully and increase your team’s productivity. Visit www.accnite-ondemand.com to learn more.

Services: Corporate access, CRM databases, Digital platforms, Investor analytics, Investor presentations, Investor targeting and roadshows, IR consultancy, IR for small caps, Mobile technology , Perception studies, Share register analysis