Mobile Advertising Strategies and Consumer Engagement

Mobile advertising has evolved into a multifaceted discipline combining technological innovation, consumer psychology and data analytics to foster engagement and drive conversions. Strategies range from in-app banners, push notifications and SMS alerts to location-based messaging and referral campaigns. Personalisation, relevance and timing have emerged as critical drivers of effectiveness, shaping attitudes, perceived value and continuance intentions. At the same time, concerns over privacy, intrusiveness and ad fatigue can undermine engagement and loyalty. Recent work emphasises the need for an integrated perspective that links ad formats, user contexts and behavioural outcomes, highlighting global applications in retail, social media and services sectors. This convergence of engineering, marketing science and behavioural research points to a future in which adaptive, context-aware mobile campaigns are tailored to individual motivations while respecting user control.

Research from Nature Portfolio

A quantitative treatment of referral marketing modelled the viral spread of campaign messages as an epidemic process on social networks. By combining natural language processing, hierarchical clustering of survey responses, differential equations and graph-theoretical analysis, researchers identified key customer motivations, transition dynamics and structural conditions that determine campaign success. The resulting generalised framework offers a systematic, data-driven approach to optimise referral strategies across homogeneous and heterogeneous populations, with actionable insights for designing incentive schemes and maximising reach.

Mobile Advertising Strategies and Consumer Engagement publication trend

The graph below shows the total number of articles in mobile advertising strategies and consumer engagement across all publications each year (not limited to Nature Index journals).

Technical terms

In-app advertising: Promotional content embedded within mobile applications to engage users during app usage.

Location-based messaging: Targeted delivery of offers or notifications to users based on real-time geographic proximity.

Referral marketing diffusion modelling: Quantitative frameworks that treat the spread of marketing messages as epidemic-like processes using differential equations and network analysis.

Ad-space characteristics: Publisher-controlled variables such as size, placement and frequency of mobile ad slots that influence campaign outcomes.

References

1. In-app advertising: a systematic literature review and implications for future research. Spanish Journal of Marketing - ESIC (2023).
2. Optimizing mobile in-app advertising effectiveness using app publishers-controlled factors. Journal of Marketing Analytics (2023).
3. Persuasive location-based messaging to increase store visits: An exploratory study of fashion shoppers. Journal of Retailing and Consumer Services (2020).
4. Ensuring the spread of referral marketing campaigns: a quantitative treatment. Scientific Reports (2020).
5. The Effects of Mobile Advertising Alerts and Perceived Value on Continuance Intention for Branded Mobile Apps. Sustainability (2020).
6. Impact of mobile advertising wearout on consumer irritation, perceived intrusiveness, engagement and loyalty: A partial least squares structural equation modelling analysis. South African Journal of Business Management (2020).