Apps Like Datava for iPhone and iPad
Datava screenshots
Ranked alternatives
Showing 181–200 of 1,000 ranked alternatives.
Leverage Agent App
Highline Residential LLC
Manage leads and track deals
Manage leads and client interactions with contact information, notes, and task tracking. Schedule appointments and send messages. Sync with CRM for real-time updates and reporting.
Twilio Frontline
Twilio, Inc.
Manage contacts, send messages, track conversations
Manage customer interactions through a personal inbox. Integrate with CRM to organize contact lists. Respond to messages via SMS, WhatsApp, or Voice. Continue conversations across communication channels.
Agvance Sales
Software Solutions Integrated LLC
Access key sales data on iPad.
The app provides sales staff with timely information to access key data directly from an iPad. Users can view customer history, check inventory availability, and generate sales orders.
WelcomeHome CRM
Welcome Home Software, Inc.
Manage contacts, track leads, and close deals
Manage customer relationships by tracking interactions, managing leads, and scheduling follow-ups. Create and send marketing campaigns. Monitor sales pipelines and analyze performance metrics in real time.
DealerPeak CRM
DealerPeak LLC
Manage leads and tasks on the go
Quickly add and update customer information. Manage leads and tasks on the go. Receive push notifications. Send and receive text messages and emails. Search and view inventory details.
LeadHQ
Brandon Wong
Generate leads and book appointments
Create and manage marketing campaigns using automation tools. Generate leads through text and email. Schedule appointments and track interactions. Integrate with CRM for lead management and analytics.
boostr
boostr, inc
Manage leads, track deals, close sales
Manage client relationships with contact tracking, deal pipelines, and activity logs. Schedule follow-ups and send automated emails. Generate reports and forecast revenue. Integrate with calendar and email services.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.