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dataspeaks.ai

Data Speaks

"Centralizes and analyzes brand data for growth."

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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.
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Operations at a Glance
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
Data Speaks's Community Statement
What makes us remarkable?
"At DataSpeaks, we built the data stack we always wanted β€” one that helps you measure and improve media performance without the usual headaches. We're data scientists, but we built this for marketers who need clear answers and real results."
You can compare us to:
Statement By:
Zeke Camusio – CEO, Data Speaks
Data Speaks's Website Claims...
Our bot logged these claims from Data Speaks's website.
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.
BlurbSTAR Case Study
Incrediwear & Data Speaks
Data Speaks boosts Incrediwear's revenue and ROAS efficiently
case study
10X
Revenue increase over four years
71%
ROAS increase
1.
Situation
Incrediwear faces data tracking challenges
β†’
Growth impeded by offline traction
β†’
Challenges from ad blockers, privacy settings
β†’
Inefficient tracking of diverse channels
Incrediwear, renowned for its innovative pain-relief wearable products, found its growth trajectory challenged despite a successful launch, primarily driven by offline channels like TV and podcasts, and high-profile athlete endorsements. Struggling with privacy issues such as ad blockers, stringent privacy settings, and the waning effectiveness of third-party cookies, the company couldn't efficiently track the impact of its diverse marketing efforts. Traditional tracking tools failed to bridge data from their online sales (dominantly through their website, Amazon, and US retail) with the influence of various marketing channels, leading to inefficiencies.
2.
Task
Upgrade analytics for smarter decisions
β†’
Partnered for better digital insights
β†’
Focus on ROI-based channel optimization
β†’
Eliminate waste and boost growth
Incrediwear partnered with Data Speaks in 2020 to harness advanced analytics for deeper insights into their ROI across marketing channels. The objective was two-fold: eliminate inefficiencies by cutting wasteful advertising and amplify growth by honing in on the most lucrative channels. The key focus was on gathering privacy-compliant, reliable data to identify which channels actually delivered the best ROI, aiming for a significant reduction in advertising costs and increased sales performance through a customized attribution model, all without relying on third-party cookies.
3.
Action
Data-driven strategy and optimization
β†’
Executed six-phase optimization plan
β†’
Realigned budget based on data insights
β†’
Achieved 96% model accuracy
Data Speaks executed a comprehensive six-phase media optimization strategy for Incrediwear. After initial model setup, they honed in on performance metrics, revealing insights that defied prior assumptions. Notably, it unveiled Facebook's better-than-expected performance over Google Ads. Consequently, budgets were strategically realigned, focusing on high-performing channels like Google Performance Max and effective podcast ads, while trimming underperforming endeavors like Google Video and radio ads. Incrementality experiments further validated their model, improving budget allocations by achieving a pinpoint 96% accuracy, thus ensuring robust ROI growth.
4.
Result
Massive growth in revenue and efficiency
β†’
Achieved 10X revenue growth in 4 years
β†’
Increased ROAS by 71%
β†’
Saved $400k annually in ad spend
Through Data Speaks' strategic interventions, Incrediwear witnessed a paradigm shift in its marketing efficacy: a remarkable 10X revenue upswing within four years, and a 71% rise in their ROAS, effectively saving $400,000 annually by shedding ineffective advertising. This outcome cemented the power of precise data analytics and realigned strategies, propelling sustainable growth while ensuring efficient, trackable ROI. Incrediwear's trust in Data Speaks was a catalyst that transformed complex data challenges into lucrative, actionable insights that streamlined their marketing decisions.
Keywords
INCREDIWEAR
DATA SPEAKS
MEDIA OPTIMIZATION
ROI
MACHINE LEARNING ANALYTICS
PRIVACY-FRIENDLY TRACKING
Ad Measurement & Attribution Q & A
Answers provided by Data Speaks staff and vetted by Blurbs.
1.
How do you track and attribute conversions across different channels (DTC, Amazon, Walmart, Target, etc.)?
"Media mix modeling. Our data scientists build a custom model for each company – taking into account everything that makes them unique: customer segments, channel mix, product line, lifetime value, seasonality, and more."
2.
What attribution models do you support (last-click, multi-touch, data-driven, incremental, media mix modeling)?
"Media mix modeling."
3.
How do you handle first-party data, and do you integrate with our CRM, CDP, or customer databases?
"With privacy-friendly first-party tracking, we capture 100% of your conversions and stream them server-side to your ad platforms, helping them target the right audiences with the best creatives."
4.
Can your platform track users without relying on third-party cookies, and how do you handle privacy compliance (GDPR, CCPA)?
"We give our clients the ability to track website activity with first-party tracking, and they're responsible for notifying users of what data they collect, getting proper consent, not selling/sharing data, etc."
5.
Do you provide Amazon Attribution or retail media tracking across different marketplaces?
"Yes. Many of our clients sell not only on their websites, but also Amazon, Target, Walmart, and other retailers."
6.
Can your solution measure the impact of ads on both online and offline sales?
"Yes. Most of the companies we work with have a complex channel mix – including β€œuntrackable” ones such as connected TV (CTV), over-the-top (OTT), audio, streaming, and programmatic."
7.
What integrations do you offer with ad platforms (Google, Meta, TikTok, Amazon Ads, DSPs, etc.)?
"We have hundreds of integrations. Google, Meta, TikTok, Amazon Ads, DSPs, Bing / Microsoft, Pinterest, Snapchat, Trade Desk, Criteo, and many more."
8.
How frequently is attribution data updated, and do you offer real-time reporting?
"The attribution data is updated weekly (when it comes to MMM, weekly models are the recommended best practice). Everything else is updated daily. We offer real-time reporting for some clients as well."
9.
How do you measure incrementality, and do you support A/B testing or holdout groups?
"We offer incrementality tests (market tests / lift tests.) We select the ideal geographic markets and test duration for statistically significant results. Run holdout or scale-up experiments, and use those results to calibrate your MMM."
10.
What is your pricing model, and how does it scale with our business?
"Because we build custom solutions, our pricing is based on our clients' needs, and not disclosed on our website. However, we normally quote 1% of advertising spend with a $2k/month minimum and $10k/month cap."
Data Speaks
Website

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