Techsalerator

How do you go from broadcasting your brand to connecting with real prospects?

You use quality B2C data.

Demographic data. Contact data. Intent data. Behavioral data. Swipe to see how each type plays into this.

Leverage this data with Techsalerator.

Techsalerator’s global datasets span 2B+ consumer records, 360M+ businesses, across 144 countries to help you connect to your target audiences worldwide.

Learn more about B2C 👉 https://www.techsalerator.com/post/what-is-b2c-data

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Tune into our latest episode of Conversations in Data by Techsalerator with Dean Abbott of Abbott Analytics.

Dean started working in the data science field before the term was even coined, including work with the US Navy SEALs.

He wrote a book called Applied Predictive Analytics which basically goes into the methods on how big data can be used for meaningful, usable business information. Data means little in business if it isn't applied to real-life challenges and aligned with business operations and goals.

We really enjoyed this one.

Dean is a professor and speaks with such clarity and intelligence.

We hope you enjoy it as much as we did recording it!
🎧 https://youtu.be/hYuHo4mnrng?si=poK5-fytU10oy9iE

He Wrote the Book on Predictive Analytics. Literally In this episode of Conversations in Data by Techsalerator, host Cla...

💡 Did you know?

Companies using quality B2B data grow revenue up to 3× faster than their competitors.

Bad data doesn't just slow you down — it costs you. Inaccurate business intelligence quietly drains 15–25% of annual revenue through missed targets, wasted outreach, and blind market entries.

At Techsalerator, we believe the right data changes everything. Private, proprietary, and licensed datasets across 195 countries — validated, ready, and built for scale.
Because when your data is right, every decision is sharper. 🌍

🔗 Explore more data at https://www.techsalerator.com/dataset-hub

The fastest AI adopters in 2025 aren't the ones you'd expect.

JPMorgan. Walmart. Siemens. UnitedHealth.

Non-tech incumbents, with massive data assets and capital, are now outpacing pure-play tech firms in AI deployment velocity.

Duolingo posted the biggest YoY leap at +44pts. The top 10 alone added 17,150+ new AI roles.

The race isn't between startups and Big Tech anymore.
It's between the companies that have the data — and those that don't.

📊 Techsalerator tracks 30K+ daily signals across 195 countries so you never miss the signal.