More of the Same?

Effects of Volume and Variety of Social Media Brand Engagement Behavior

Schaefers, Falk, Kumar & Schamari — Journal of Business Research (2021)

Introduction & Research Question

The Puzzle

  • Increasing consumer engagement is the “holy grail” of social media marketing
  • Most companies focus solely on Volume (frequency of interactions)
  • The Gap: We don’t know if “more of the same” interaction eventually hits a wall of diminishing returns

The Core Dimension

This study captures two dimensions of engagement:

  • Volume — Total number of interactions (likes, comments, etc.)
  • Variety — Diversity of different types of activities performed

Question: How do volume and variety interact to drive brand outcomes like attachment and purchase intent?

Theoretical Framework

The Power Law of Practice

  • Cognitive theory suggests people learn and adapt to tasks over time
  • Prediction: Repetitive engagement leads to diminishing marginal utility
  • Initial “surprising” content has the strongest effect; later stages saw “wear-out” or habituation

The Role of Variety

  • Schema Approach: Diverse tasks create a more robust mental representation of the brand
  • Buffering Effect: Variety slows down the diminishing returns of volume by keeping engagement “fresh” and multi-faceted

H1: Engagement volume has diminishing marginal utility.
H2: Engagement variety positively impacts brand performance.
H3: Variety moderates the volume-attachment relationship.

Methodology

Combined Field Data & Consumer Surveys (2 Studies, n = 1,347)

Data Sources

  • Social Media Tracking: Actual user activities (volume/variety) monitored over time
  • Psychographic Surveys: Capturing latent constructs (Attachment, Attitude, Intent)
  • Brands: Diverse selection to ensure generalizability

Econometric Approach

  • Structural Equation Model (SEM)
  • Volume captured via Square Root \((\text{Vol}^{0.5})\) to directly model non-linear diminishing returns
  • Controls: Age, Gender, Need to Belong, Patronage frequency, Perceived Quality

Key Findings

1. Diminishing returns are real

The effect of volume on brand attachment follows a concave curve (\(\text{Vol}^{0.5}\) coefficient: .46***). Each additional interaction matters less than the previous one at high volumes.

2. Variety is a growth lever

Variety has a significant direct effect on brand attachment (0.11*) beyond mere interaction count.

3. The Interaction Effect

Significant positive interaction (0.13*):

The Buffer: Variety acts as a strategic buffer. High volume is significantly most effective when engagement tasks are diverse rather than repetitive.

  • Mediated Path: Engagement → Brand Attachment (\(R^2=.48\)) → Brand Attitude \(\to\) Purchase Intent (\(R^2=.62\))

Managerial Implications

Dethroning “Reach & Frequency”

  • Stop measuring success purely by interactions-per-user (Volume)
  • “Over-engaging” without variety leads to habituation and wasted marketing effort
  • Pushing for high volume without variety yields lower ROI per activity

Strategic Takeaways

  • Design for Diversity: Create campaign mechanics that require different “types” of engagement (polls, photo uploads, sharing, commenting)
  • Segment by Engagement Path: Target heavy users (high volume) with “new” types of tasks to maintain their attachment
  • Focus on Attachment: It is the psychological bridge that translates “likes” into “purchase intent”