As artificial intelligence continues to transform industries, marketing stands among the most impacted. Recent studies reveal that 56% of marketers are already leveraging AI in their strategies, while 63% of small and mid-sized enterprises deploy AI for marketing, recruitment, and customer service. To explore this trend further, CXO Insider sat down with marketing strategist Alisa Goliampolska.
With over a decade of global experience, Alisa is the CEO of AG Global Strategy, a consultancy known for combining AI-driven insights with growth-centric solutions. Her work spans multiple industries, guiding companies through complex markets and enabling smarter investment decisions. An alumna of Miami Business Technological University, Alisa has also mentored numerous startups, helping them scale with tailored strategies.
Her industry recognition includes serving on the jury for The Ventures Award in Chicago and winning the prestigious Cases&Faces Award, honoring her contributions across business innovation, education, and digital transformation.
In conversation, Alisa emphasized that AI will be central to marketing over the next 5–10 years. She predicts a shift from reactive to predictive systems, enabling real-time personalization and self-learning campaigns.
When integrating AI into client strategies, Alisa selects tools based on business goals. Platforms like ChatGPT, Midjourney, Adobe AI, and TikTok Ads AI support her work, along with behavior-based analytics and creative optimization. For her, measurability is key.
Addressing concerns about AI replacing human roles, she noted that while automation will handle repetitive tasks, strategic thinking, creative storytelling, brand positioning, and investor relations will remain human-led.
Highlighting real-world success, she recalled AI-driven e-commerce strategies that boosted customer lifetime value by 28% and slashed churn. She also pointed to AI-generated creatives on TikTok and Meta as game-changers in marketing agility and cost-efficiency.
On data, Alisa stressed that AI is only as effective as the data behind it. She builds pipelines aligned with business objectives, ensuring transparency and meaningful outcomes.
For startups, she advised starting small—focusing on solving specific business problems using no-code tools—and scaling gradually. The goal, she says, should be to use AI purposefully, not just for the sake of technology.
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Source: Ceoworld.Biz
