Let your social data lead the way

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With trends emerging every day, social networks introducing new additions (hello, Threads!)—not to mention brand makeovers, like Twitter rebranding to X—marketing teams are forever indonesia mobile database playing catch up.

Staying agile seems daunting and finding meaningful insights from non-stop social and online chatter feels akin to finding a needle in a haystack. Add to that, tight budgets and limited manpower.

Fortunately, AI marketing techniques like sentiment analysis and machine learning (ML) enable marketers to overcome shrinking bandwidths and harness social listening for business intelligence. AI tools extract key data points from thousands of social conversations across multiple networks within minutes, giving you actionable insights that impact your market growth and revenue.

But how do these tools identify relevant information from the barrage of conflicting data online? How do they identify brand mentions for competitive analysis? And how do they distinguish between individuals, businesses or currencies in data?

Enter: named entity recognition (NER). This core AI technology works behind the scenes to power AI marketing tools, so you get critical, data-driven metrics from social and online data for strategic business decisions.