Hamilton inSIGHT 4+

Hamilton Exhibits, LLC

Designed for iPad

    • Free

Screenshots

Description

Hamilton inSIGHT™ is a trade show lead capture app that offers badge scanning and a comprehensive set of lead qualifying features. The platform is designed to increase rep engagement with attendees in the booth, and collect qualified leads to maximize follow-up potential and ROI.

Some key differentiators:
In addition to Lead Lookup, Voice-to-Text Notes, and On-Demand Statistics, we offer a feature set you will only see in Hamilton inSIGHT:
INSTANT LEAD SCORING — Know immediately when a booth visitor is a “hot prospect”
VIP ALERT — Identify targeted attendees when they enter your booth, and send a custom message about each one of those targeted attendees to the appropriate staffers, so that VIPs may be treated as VIPs!
DYNAMIC LITERATURE FULFILLMENT — Each attendee receives an instant email with links to download selected PDFs, videos, brochures, etc., all with no printing or shipping costs.
PHOTO CAPTURE — Include images of drawings, sketches, or other material related to the content, right in the lead record.
CUSTOMIZED FILE EXPORT — Conforms to your CRM field and data requirements, for a seamless import to Salesforce, HubSpot, etc.
LEAD PROGRESS METER — Enter your lead goal for the event, then view your progress from any device or the portal.

Additional features:
BADGE TYPES — Read barcode (2D or QR code) and NFC badges and get full demographics.
SURVEY BRANCHING LOGIC — Skip non-relevant questions based on prior answers.
REASSIGN LICENSES — Simply release a license from one device in order to use it on another.

All the features are included at no additional cost!

What’s New

Version 2.18

Minor UI updates

App Privacy

The developer, Hamilton Exhibits, LLC, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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