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Description
Grow Progress is a platform specializing in market research and message evaluation that empowers teams to assess what is crucial, enhance the effectiveness of their campaigns, and pinpoint the messaging that can significantly influence opinions. Through its scientifically supported insights, organizations gain the ability to test, customize, and refine their campaigns for optimal impact when it is most critical. The platform is structured as a series of progressive steps: it initially assists teams in gaining a profound understanding of their target audiences, subsequently allowing them to customize, test, and communicate impactful content. Utilizing Audience Understanding Surveys, it employs swift and scalable qualitative listening techniques to reveal the fundamental beliefs, identities, emotions, and motivations of an audience, transforming these findings into actionable briefs that extend beyond mere demographics. Furthermore, its Rapid Message Testing employs randomized controlled trials to identify which messages genuinely boost support, moving beyond traditional methodologies that only assess responses through standard surveys or A/B tests. This comprehensive approach ensures that campaigns are not only well-informed but also strategically positioned to resonate with audiences effectively.
Description
Our AI models achieve accuracy levels comparable to those of human participants. We conducted a pre-registered study to evaluate if our responses aligned with those of human respondents, allowing for a thorough comparison. Instead of waiting for competitors to finalize the scope of their initial surveys, you can conduct multiple surveys in advance. What sets us apart from other AI solutions is our multi-layered architecture, which creates robust barriers between different data streams. Your information remains confidential and is never shared with other clients. By integrating behavioral science with AI, we offer a unique approach to data interpretation. This model is adaptable, enabling us to engage with populations that would otherwise be inaccessible. Unlike human respondents who might overlook your surveys, our AI is constantly available for interaction. The potential of AI in research is immense, providing incredible opportunities, albeit with implementation challenges. Our commitment lies in enhancing conventional research methods with AI solutions that are timely and secure. By 2030, we aim to replace 20% of traditional surveys with real-time insights, which will significantly reduce research expenses and save millions of hours spent on fieldwork across the globe each year. This transformation not only promises efficiency but also paves the way for innovative research methodologies that can reshape the industry.
API Access
Has API
API Access
Has API
Integrations
GraphQL
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Grow Progress
Founded
2018
Country
United States
Website
growprogress.ai/
Vendor Details
Company Name
Lakmoos
Country
Czechia
Website
lakmoos.com
Product Features
Market Research
Benchmarking
Compensation Management
Data Management
Email / Online
Face-to-Face
Panel Management
Paper-Based
Phone-Based
Sample Management
Statistical Analysis
Survey Management
Survey
Custom Survey URLs
Data Analysis Tools
Email Marketing
Mobile Survey
Offline Response Collection
Paper Survey
Question Branching
Question Library
Site Intercept Survey
Skip Logic
Supports Audio / Images / Video
Product Features
Market Research
Benchmarking
Compensation Management
Data Management
Email / Online
Face-to-Face
Panel Management
Paper-Based
Phone-Based
Sample Management
Statistical Analysis
Survey Management