AI-Powered Paid Social Case Study For B2B SaaS

Discover the latest AI-Powered Paid social strategies and tactics used by top paid social experts in the Enteprise B2B SaaS space. Find out how AI-Powered solutions can accelerate your demand generation program without spending more budget and bring non-linear MQL growth to your enterprise that truly impacts the bottom line.

Content of our AI-Powered Paid Social Case Study

What’s inside the content marketing case study?

How an AI-Powered demand generation program can outperform human PPC teams at scale

In any paid social program there are at least a dozen campaigns with dozens of audiences and targeing options and there are millions of possible ad combinations and calculations that are happening at every auction across millions of user devices in different countries. How do you find efficiencies?

Real-Time cross-channel bid & budget optimization

If you're running Paid social, Paid search, programmatic and native media campaigns you need a solution that optimizes your budget based on performance every hour of the day, every day of the week, and across millions of potential placements and a multitude of devices. We cover this topic in our AI-Powered Paid Social case study.

You probably don't have a traffic or targeting problem

Time and time again we discover that our clients run into the following issues:
a) poor landing page experience leads to low conversion volume and high CPA from media channels
b) non-personalized landing pages that kill your conversion rates
c) poor remarketing segmentation follow up that reduces your profits

Testimonials from clients

After actioning strategies and tactics in the case study we got a major lift in our MQLs with our content marketing demand generation program.
Julie Fleming
Julie Fleming
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“ The case study opened our eyes to the power of AI when it comes to paid social demand generation programs and how easily and quickly you can scale it when you have the right strategies and tactics in place. ”
John
John
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“ We were surprised to see how pulling the right levers with AI can drastically affect our paid social demand generation metrics in such a short amount of time. ”
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About the Author

Sergey Solonenko

Sergey Solonenko is the founder of Algocentric Digital Consultancy, an active digital strategist and a fractional CMO for many B2B SaaS brands embracing digital transformation. At Algocentric Digital Sergey’s focus is on empowering every B2B SaaS brand who is looking to scale their demand generation program. Sergey’s digital marketing experience over the last 10 years has allowed him to become a digital evangelist focused on improving B2B SaaS demand generation programs and consulting on best practices around account based marketing, sales and marketing team alignment, setting up better lead qualification systems and improving user experience through personalization by aligning martech with key marketing KPIs that ladder up to faster MRR for B2B SaaS brands.

AI-Powered Paid Social Case Study For B2B SaaS

Find out how AI-Powered solutions can accelerate your demand generation program without spending more budget and bring non-linear MQL growth to your enterprise that truly impacts the bottom line.