Mobile phone-based informational programs are widely used worldwide, though there is little consensus on how effective they are at changing behavior. We present causal evidence on the effects of six agricultural information programs delivered through text messages in Kenya and Rwanda. The programs shared similar objectives but were implemented by three different organizations and varied in content, design, and target population. With administrative outcome data for tens of thousands of farmers across all experiments, we are sufficiently powered to detect small effects in real input purchase choices. Combining the results of all experiments through a meta-analysis, we find that the odds ratio for following the recommendations is 1.22 (95% CI: 1.16, 1.29). We cannot reject that impacts are similar across experiments and for two different agricultural inputs. There is little evidence of message fatigue, but the effects diminish over time. Providing more granular information, supplementing the texts with in-person calls, or varying the messages’ framing did not significantly increase impacts, but message repetition had modest positive effects. While the overall effect sizes are small, the low cost of text messages can make these programs cost-effective.

More on this topic

BFI Working Paper·May 5, 2026

Automation, Learning, and Career Dynamics

Hassan Afrouzi, Andres Blanco, Andrés Drenik, and Erik Hurst
Topics: Technology & Innovation
BFI Working Paper·May 5, 2026

Technology Adoption and Optimal Policy

Fernando Alvarez, Francisco J. Buera, and Nicholas Trachter
Topics: Technology & Innovation
BFI Working Paper·Apr 27, 2026

Why Bans Fail: Tipping Points and Australia’s Social Media Ban

Leonardo Bursztyn, Angela Duckworth, Rafael Jiménez-Durán, Aaron Leonard, Filip Milojević, Christopher Roth, and Cass R. Sunstein
Topics: Technology & Innovation