The 57% Problem: Why Omnichannel Strategy is Stalling in 2026

The 57% Problem: Why Omnichannel Strategy is Stalling in 2026

Omnichannel customer communication has become one of the defining priorities for organizations looking to improve customer experience, increase operational efficiency and unlock new revenue opportunities. Businesses understand that customers expect faster, more relevant and more connected interactions, and that relying on one or two legacy channels is no longer enough.   Yet many are still struggling…

The Alarming Truth About SEO Stalling: 10 Solutions You Need to Know for 2026

The Alarming Truth About SEO Stalling: 10 Solutions You Need to Know for 2026

importance of brand authority in SEO.) Utilizing structured data markup can help AI systems better understand your content. This enhances the likelihood of being featured in AI-generated answers, thus improving your share of voice. Additionally, focus on creating concise, informative content that directly answers user queries, as this aligns well with AI search priorities. 7….

Stacked Marketing Tools Stalling Aussie Brands’ AI ambitions: Twilio Poll

Stacked Marketing Tools Stalling Aussie Brands’ AI ambitions: Twilio Poll

GUEST RESEARCH:  Australian marketing and CX leaders have said that having too many disparate technology tools is making it harder to realise productivity gains from Agentic AI. This is according to a poll conducted by Twilio (NYSE: TWLO), the customer engagement platform that drives real-time, personalised experiences for today’s leading brands. Conducted amongst delegates at…

The ‘last-mile’ data problem is stalling enterprise agentic AI — ‘golden pipelines’ aim to fix it

The ‘last-mile’ data problem is stalling enterprise agentic AI — ‘golden pipelines’ aim to fix it

Traditional ETL tools like dbt or Fivetran prepare data for reporting: structured analytics and dashboards with stable schemas. AI applications need something different: preparing messy, evolving operational data for model inference in real-time. Empromptu calls this distinction “inference integrity” versus “reporting integrity.” Instead of treating data preparation as a separate discipline, golden pipelines integrate normalization…