Let’s talk about Growth, Research, and Optimization

GRO Roundtable 257

Prioritize experimentation quality over quantity by aligning tests with real business problems, clean data structure, and long-term value.

GRO Roundtable 256

Landing a role in the CRO field requires having multidisciplinary skills, finding the right company fit, and effective networking.

CRO Roundtable 255

Structured context, smart metrics, and disciplined testing turn noisy data into reliable optimization insight.

CRO Roundtable 254

Reframing experimentation as a decision-making tool helps overcome resistance and demonstrate long-term value.

CRO Roundtable 251

Experimentation measurement is evolving toward sophisticated quasi-experimental models as traditional A/B testing becomes less feasible in real-world environments.

CRO Roundtable 250

Clear, adaptable experimentation systems built around existing data workflows lead to smoother processes and better decision-making.

CRO Roundtable 249

Understanding and bridging the cultural and organizational divides between CMOs and CROs is key to advancing data-driven experimentation.

CRO Roundtable 248

Automated experiment updates should only trigger when action is needed to avoid information fatigue and drive meaningful engagement.

CRO Roundtable 247

Multi-armed bandits (MABs) can optimize short-term decisions when type 1 error control isn’t essential, but AB testing remains vital for learning and confidence in results.

CRO Roundtable 246

AI and similar tools are transforming automation, research, and CRO workflows—but thoughtful implementation still matters more than flashy features.