How B2B social media content strategies generate engagement across different social media platforms

Social media (SM) has become an essential means of engaging key stakeholders for business-to-business (B2B) firms. As a result, academic research has paid increasing attention to the factors that drive SM engagement in business markets. Although studies have examined the types of SM content that generate higher engagement in B2B contexts, current research lacks deeper insight into message strategies across different social media platforms (SMPs). We address this knowledge gap by examining whether the use of SM content strategies by B2B firms varies across platforms and whether their effectiveness in generating engagement varies across SMPs. In doing so, we build a new SM content strategy framework focused on messaging functions that capture a broad set of message stakeholders. Using advanced Random Forest modeling, we analyze 1700 SM messages and related engagement data from 18 of the largest Canadian B2B companies based on their revenues. We advance current research knowledge by demonstrating how different message strategies across SMPs achieve higher engagement levels. The findings offer concrete insights for practitioners to effectively engage diverse stakeholders across different SMPs. • The engagement of stakeholders in social media is a strategic issue for B2B firms. • No research has studied the effectiveness of content strategies across SM platforms. • Study creates a new broadened functional SM content strategy conceptualization. • We analyze 1700 SM messages and their engagement data with random forest modeling. • We find that both content strategy use and effectiveness differ across SM platforms.

Authors

Institutions

Publication Details

Journal
Industrial Marketing Management
Published
2025-02-01
DOI
https://doi.org/10.1016/j.indmarman.2025.01.019
Citations
6
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
25.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How B2B social media content strategies generate engagement across different social media platforms

Benoit Bourguignon, Harri Terho, Ahlem Hajjem
6 citations
Industrial Marketing Management
Digital Marketing and Social Media
25.21
article

How B2B social media content strategies generate engagement across different social media platforms

Benoit Bourguignon, Harri Terho, Ahlem Hajjem
article en
6 citations

Abstract

Social media (SM) has become an essential means of engaging key stakeholders for business-to-business (B2B) firms. As a result, academic research has paid increasing attention to the factors that drive SM engagement in business markets. Although studies have examined the types of SM content that generate higher engagement in B2B contexts, current research lacks deeper insight into message strategies across different social media platforms (SMPs). We address this knowledge gap by examining whether the use of SM content strategies by B2B firms varies across platforms and whether their effectiveness in generating engagement varies across SMPs. In doing so, we build a new SM content strategy framework focused on messaging functions that capture a broad set of message stakeholders. Using advanced Random Forest modeling, we analyze 1700 SM messages and related engagement data from 18 of the largest Canadian B2B companies based on their revenues. We advance current research knowledge by demonstrating how different message strategies across SMPs achieve higher engagement levels. The findings offer concrete insights for practitioners to effectively engage diverse stakeholders across different SMPs. • The engagement of stakeholders in social media is a strategic issue for B2B firms. • No research has studied the effectiveness of content strategies across SM platforms. • Study creates a new broadened functional SM content strategy conceptualization. • We analyze 1700 SM messages and their engagement data with random forest modeling. • We find that both content strategy use and effectiveness differ across SM platforms.

Industrial Marketing ManagementVol. 125
University of Turku (FI), Université du Québec à Montréal (CA), Turku University of Applied Sciences (FI)
Openalex Percentile: Top 1%
Digital Marketing and Social Media
25.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.