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Learn about how these vendors stack up against each other by checking out our blurbs, claims, and case studies.

dataspeaks.ai
Full Blurb
Data Speaks
"Centralizes and analyzes brand data for growth."
Focused on Incrementality & Media Mix Modeling (MMM) .
Data Speaks centralizes all of a brand's data from various platforms into one dashboard. This enables companies to track their performance with a consistent source of truth, use AI-powered recommendations for decision-making, and run predictive models. The platform supports first-party tracking, ensuring privacy compliance and accurate customer insights.
Who are your typical customers?
Small businesses
Medium businesses
Large businesses
What verticals do your typical customers belong to?
Retail & E-commerce
Consumer Goods
How do you collect and monitor consumers and their data?
Pixels
Is your platform CCPA and GDPR compliant?
Yes
What is your standard 'time-til-live' for clients?
Days
What does a client need to install to start using your service?
Provide data
Install technology
Manual API Integration
How do you provide customer service?
Dedicated account manager
Email support
Phone support
How do brands measure the success of a campaign using your platform?
Performance
Revenue Growth
What integrations do you offer?
E-Commerce Platforms
CDPs
Digital Advertising
What is your pricing model?
Subscription-based
Tiered pricing
Custom contract pricing
unbiased source of truth
Data Speaks claims that running your entire business from one independent, unbiased source of truth ensures informed decision-making and success.
AI-driven data analysis
Data Speaks claims that their AI-driven platform helps brands effectively connect and analyze data from all channels in real-time.
privacy-compliant first-party tracking
Data Speaks claims that their privacy-compliant, first-party tracking allows for robust customer insights amid evolving data privacy standards.
vsoptima.com
Full Blurb
VSOptima
"AI-driven platform optimizing business process efficiency"
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VSOptima helps marketers streamline operations using AI-driven automation. It simulates decisions to cut costs and optimize processes. Tactics include reducing supplier lead times and improving fleet utilization. Operations run smoother and with reduced risk, resulting in faster, smarter decision-making.