Purpose

This paper aims to examine the role of marketing intermediaries in the customer journey, identify key dimensions and analyze how different intermediaries influence customer experiences across various purchase stages.

Design/methodology/approach

A systematic literature review analyzed 36 articles from the Scopus and Web of Science databases. The methodology followed a structured approach using assembling, arrangement and assessment criteria, complemented by coding and categorization processes to identify key dimensions and patterns in the literature review.

Findings

The analysis identified ten key dimensions that define marketing intermediaries’ roles and four main types: surrogate consumers, opinion leaders, expert sources and supplier-affiliated intermediaries. The results show that surrogate consumers and supplier-affiliated intermediaries affect all stages of the journey, while opinion leaders and expert sources primarily influence the pre-purchase stage. This study reveals that, despite shared characteristics, the impact of intermediaries varies significantly across contexts and types.

Research limitations/implications

This study advances consumer behavior theory by providing a comprehensive framework of marketing intermediary dimensions and their influence on customer journeys. It also strengthens stakeholder theory by systematically analyzing diverse intermediaries in the value-creation process.

Practical implications

Organizations can develop more effective marketing strategies by selecting appropriate intermediaries for different journey stages and enhancing service personalization and customer experience management through targeted engagement with intermediaries.

Social implications

This research illuminates how marketing intermediaries shape consumers’ decisions and experiences in the digital age. This contributes to a better understanding of social influence on purchase decisions and market dynamics.

Originality/value

This systematic investigation of marketing intermediaries in the customer journey provides a novel framework for understanding their defining dimensions and their impact across purchase stages, thereby filling a significant gap in the marketing literature.

The proliferation of marketing intermediaries across digital and physical channels has fundamentally transformed how customers navigate their purchase journeys (Becker & Jaakkola, 2020). While traditional research has primarily focused on distribution channel roles (Donnelly, 1976; Pokhrel & Thapa, 2007), contemporary intermediaries actively shape customer experiences across multiple touchpoints throughout the pre-purchase, purchase and post-purchase stages (Lemon & Verhoef, 2016; Verhoef et al., 2009). However, the existing literature presents critical gaps. First, it lacks a comprehensive framework that systematically identifies and organizes the key dimensions defining intermediary roles across different types (surrogate consumers, opinion leaders, expert sources and supplier-affiliated intermediaries). Second, while individual studies have examined specific intermediary types in isolation, no systematic synthesis explains how these distinct types differentially influence customer experiences across journey stages. Moreover, Hollebeek, Kumar, Srivastava, and Clark, (2023) highlighted that the literature fails to satisfactorily address how marketing intermediaries actively co-construct the customer journey, treating these agents as static components rather than recognizing their dynamic, relational and adaptive nature in working with consumers.

This systematic literature review (SLR) addresses these gaps by developing an integrative framework that advances both theory and practice. We identified and synthesized ten key dimensions that characterize marketing intermediaries’ roles and mapped how the four main intermediary types leverage these dimensions to influence customers across journey stages. By conceptualizing intermediaries as specialized stakeholders with distinct functions within the customer-journey ecosystem, we demonstrate that their impact extends beyond facilitating exchange to defining meanings, guiding choices and shaping consumer experiences.

Based on the identification of ten key dimensions characterizing marketing intermediaries’ roles and the mapping of how four intermediary types – surrogate consumers, opinion leaders, expert sources and supplier-affiliated intermediaries – leverage these dimensions across customer journey stages, the paper offers a typology as one of its key contributions. This framework enables a more strategic understanding of customer experiences orchestrated by multiple agents, particularly in digital environments where boundaries between the company and intermediary become increasingly fluid. Our findings provide practitioners with actionable insights for selecting and managing appropriate intermediaries at different stages of the journey, while identifying theoretical gaps and proposing a future research agenda.

The remainder of this paper is organized as follows. Section 2 provides a concise literature review that contextualizes marketing intermediaries within the customer journey framework and introduces the key concepts and framing logic that structure the subsequent systematic review. This initial contextualization is necessary because the SLR requires a conceptual foundation to delineate intermediary types and their theoretical underpinnings before proceeding with the systematic analysis. Section 3 details the methodological procedures of the SLR, whereas Section 4 presents the results, including the ten key dimensions, the four intermediary types and the integrative framework mapping their influence across journey stages. Section 5 discusses the findings in light of existing theory, followed by final considerations, theoretical and managerial implications, limitations and directions for future research.

While definitions of marketing intermediaries (Donnelly, 1976; Solomon, 1986, 1987) provide an essential conceptual foundation, these definitions were developed primarily within traditional distribution channel contexts and do not adequately capture how intermediaries function within the contemporary customer journey framework (Lemon & Verhoef, 2016; Tueanrat, Papagiannidis, & Alamanos, 2021). Specifically, existing definitions fail to account for:

  • the multistage nature of intermediary influence across pre-purchase, purchase and post-purchase phases;

  • the diverse types of intermediaries operating at different journey stages; and

  • the specific dimensions through which intermediaries shape customer experiences.

This gap necessitates recontextualizing marketing intermediaries within the customer journey paradigm.

As conceptualized by Becker and Jaakkola (2020) and Hollebeek et al., (2023), the customer journey comprises the stages and touchpoints that make up the consumer experience, from pre-purchase through purchase to post-purchase. In this context, marketing intermediaries assume a dynamic, multifaceted role beyond traditional distribution and information functions. They become active agents shaping customer experiences at multiple touchpoints throughout the journey (Verhoef et al., 2009). We propose that intermediaries exert differentiated influence across customer-journey stages, with the greatest impact expected during the pre-purchase and purchase stages, where informational asymmetries and trust deficits are most pronounced. To fully understand this relationship, it is necessary to distinguish marketing intermediaries from other agents influencing the customer journey.

Marketing intermediaries differ from other stakeholders in three fundamental ways:

  1. their unique position at the interface between consumers and companies, actively mediating rather than passively observing the purchase process;

  2. their direct role in shaping customer decisions and experiences through personalized interactions rather than indirect influence through regulations or policies; and

  3. their ability to customize interventions at different stages of the customer journey based on specific customer needs (Freeman, 2010).

While internal stakeholders (such as employees and managers) operate primarily within organizational boundaries and indirect external stakeholders (such as regulators and community organizations) exert influence from the macro environment, marketing intermediaries occupy a distinct space of direct, active mediation in customer–company interactions. This conceptual clarity is essential for understanding how different types of intermediaries uniquely contribute to value throughout the customer journey.

In addition, it is essential to recognize the diversity among marketing intermediaries. Different types of intermediaries (surrogate consumers, opinion leaders, expert sources and supplier-affiliated intermediaries), as described later, have distinct characteristics that impact the purchase journey in specific ways. These distinctions are typological and functional, reflecting varying degrees of involvement, control and influence across stages of the customer journey. This reconceptualization of marketing intermediaries within the customer journey enables us to move beyond traditional definitions and explore how these agents actively shape consumer experiences in an increasingly complex, interconnected market.

Customer experience complexity has increased due to multiple interactions between consumers, companies, brands and technologies (Becker & Jaakkola, 2020). This creates different realities during the pre- and post-purchase stages, mediated by agents. Marketing intermediaries facilitate relationships between suppliers, producers and consumers. The growth of intermediation services has sparked interest among companies and researchers studying their impact on customer experience (Arora & Bawa, 2022). This section introduces the initial conceptual mapping of marketing intermediaries within the customer journey that serves as a framing structure for organizing the typology subsequently derived from the SLR. The distinctions presented here are grounded in prior literature and provide the analytical lens through which the SLR findings are categorized and interpreted.

Marketing intermediaries are agents that transfer goods and provide product information to customers (Pokhrel & Thapa, 2007; Bahar, Nenonen, & Starr, 2021; Donnelly, 1976; Etgar & Zusman, 1982; Solomon, 1987). While no definitions specifically address the consumer journey, intermediaries can be viewed as both exchange facilitators and journey influencers. Traditional perspectives view intermediaries as passive agents who transfer products (Pokhrel & Thapa, 2007) and as bridges between producers and consumers (Shaw & Jones, 2005). However, modern customer journey research sees them as active co-creators shaping experiences through personalized touchpoint interactions (Becker & Jaakkola, 2020; Hollebeek et al., 2023).

In contrast, these intermediaries assume more dynamic, multidimensional roles throughout the purchase journey. Our review of the literature indicates that marketing intermediaries in the purchase journey actively influence multiple stages of the customer experience, not just the transaction phase; customize their interventions according to specific customer needs rather than simply standardizing offerings; assume varying levels of responsibility for the outcome of the customer experience; and establish trust-based relationships that transcend single transactions.

For these reasons, intermediaries who build relational trust across multiple stages are more likely to generate customer advocacy and brand or product loyalty, particularly in service environments. These distinctions are fundamental to understanding how intermediaries shape customer experiences throughout the customer journey, thereby justifying a specific conceptualization for this context. Solomon (1986) identified the variables that influence customers’ use of marketing intermediaries and classifies them into consumer and environmental factors. Functional (objective) and psychological (subjective) factors guide the use of intermediaries. As objective factors influencing consumer choice, Solomon (1987) and Aggarwal and Mazumdar (2008) noted that reasons for choosing a similar product include low motivation to buy, insufficient product knowledge and a perceived high risk of failure.

Regarding subjective consumer factors, the stimulus can be driven by low confidence in selection ability, poor judgment, a need for status and a strong emphasis on product cues and perceived value (social goals). In addition to consumer variables, Solomon (1986) emphasized that environmental factors, such as limited product availability, restricted access to the distribution channel, low channel leverage and time constraints, can influence delegation. In addition to subjective environmental factors, customers can be affected by a lack of informal reference networks, high levels of role conflict and normative pressures.

To address the conceptual ambiguity in existing literature, we propose a unified typology of marketing intermediaries in the customer journey. This typology distinguishes four main types of intermediaries based on their distinct characteristics, roles and influence patterns:

  1. surrogate consumers’;

  2. opinion leaders;

  3. expert sources; and

  4. supplier-affiliated intermediaries.

While all four types share the fundamental characteristic of mediating between companies and customers, each exhibits unique dimensions of influence, operates at varying levels of control and personalization and affects different stages of the customer journey. Table 1 synthesizes this typology and the defining characteristics of each intermediary type.

Table 1.

Types of marketing intermediaries: four distinct types

Marketing intermediariesDefinition
Surrogate consumer“As an agent retained by a consumer to guide, direct, and/or transact marketplace activities.” (Solomon, 1986, p. 208) “These experts perform various activities on behalf of their clients such as collecting and filtering product-related information, determining the consideration set, weighing alternatives, making recommendations customized to the client’s needs and desires, and conducting transactions on behalf of clients.” (Aggarwal, Cha, & Wilemon, 1998, p. 243) “As agents employed by a consumer or a retail firm to identify a need, access product information, evaluate alternatives, and/or make purchases on behalf of the consumer” (Forsythe et al., 1990, p. 447)
Opinion leaders“Opinion leaders influence the adoption process by acting as social role models whose innovative behavior is imitated by others.” (Aggarwal, 1997, p. 393) “An opinion leader is a person who is frequently able to influence others’ attitudes or behaviours.” (Solomon, Bamossy, Askegaard, & Hogg, 2006, p. 374)
Expert sources“Is a source as the possession of domain‐specific knowledge that is acquired through experience or training and that leads to superior, reproducible performance in domain‐related tasks.” (Larrick & Feiler, 2015, p. 697) “Expert is a person who is experienced at making predictions in a domain and has some professional or social credentials.” (Camerer & Johnson, 1991, p. 196)
Supplier-affiliated“Individuals or businesses who create or do not dispel the impression that they are acting on behalf of the consumer, despite their legal representation of the seller.” (Hollander & Rassuli, 1999, p. 104)
Source(s): Table by the authors

We used an SLR to gather and synthesize literature within a specific domain. The SLR aggregates works on a particular topic (Paul, Lim, O’Cass, Hao, & Bresciani, 2021) and suggests future research directions (Paul & Criado, 2020). Figure 1 outlines our review process following the PRISMA framework, showing the four stages – identification, screening, eligibility assessment and inclusion – with article counts and criteria at each stage.

Figure 1.
A flow diagram of study selection from identification to inclusion shows records reduced to 36 studies.The vertical flow diagram presents identification, screening, eligibility, and inclusion stages. Records identified through Scopus are 39.274 and through Web of Science are 3.972, giving total records identified 43.246. After duplicate removal, records are 42.242. Records screened by title and abstract are 42.242, with 32.389 excluded for reasons including not focused on customer or consumer journey 25286, not focused on marketing intermediaries 6090, not peer reviewed journal articles 556, and not in English 457. Full text articles assessed for eligibility are 9853, with 9.817 excluded for reasons including intermediaries not in B 2 C context 547, only tangential mention of intermediaries 8914, and focus on distribution channels not purchase journey 356. The final inclusion shows 36 studies included in the systematic review.

PRISMA flow diagram of systematic literature review process

Note: This flow diagram follows PRISMA guidelines. The search was conducted in April 2024 using Scopus and Web of Science. Following Hiebl (2021), we used a deliberate two-stage approach: Phase 1 searched for intermediary types (“marketing intermediar*” OR “surrogate consumer*” OR “opinion leader*” OR “influencer*” OR “expert source*” OR “supplier-affiliated intermediar*”); Phase 2 applied content-based screening to identify articles substantively addressing customer journey contexts (pre-purchase, purchase and post-purchase stages). This approach captured foundational studies using alternative terminology while ensuring all included articles address intermediary influence on customer journeys. Inclusion criteria: peer-reviewed journal articles in English; B2C contexts; and substantive analysis of intermediary influence on customer journey stages

Figure 1.
A flow diagram of study selection from identification to inclusion shows records reduced to 36 studies.The vertical flow diagram presents identification, screening, eligibility, and inclusion stages. Records identified through Scopus are 39.274 and through Web of Science are 3.972, giving total records identified 43.246. After duplicate removal, records are 42.242. Records screened by title and abstract are 42.242, with 32.389 excluded for reasons including not focused on customer or consumer journey 25286, not focused on marketing intermediaries 6090, not peer reviewed journal articles 556, and not in English 457. Full text articles assessed for eligibility are 9853, with 9.817 excluded for reasons including intermediaries not in B 2 C context 547, only tangential mention of intermediaries 8914, and focus on distribution channels not purchase journey 356. The final inclusion shows 36 studies included in the systematic review.

PRISMA flow diagram of systematic literature review process

Note: This flow diagram follows PRISMA guidelines. The search was conducted in April 2024 using Scopus and Web of Science. Following Hiebl (2021), we used a deliberate two-stage approach: Phase 1 searched for intermediary types (“marketing intermediar*” OR “surrogate consumer*” OR “opinion leader*” OR “influencer*” OR “expert source*” OR “supplier-affiliated intermediar*”); Phase 2 applied content-based screening to identify articles substantively addressing customer journey contexts (pre-purchase, purchase and post-purchase stages). This approach captured foundational studies using alternative terminology while ensuring all included articles address intermediary influence on customer journeys. Inclusion criteria: peer-reviewed journal articles in English; B2C contexts; and substantive analysis of intermediary influence on customer journey stages

Close Figure 1.

To ensure reliability and validity, this research followed the methodological criteria established by Tranfield, Denyer, and Smart, (2003) and Hiebl (2021). The review process comprised three main phases as detailed below.

The initial search was conducted in April 2024 using two comprehensive academic databases: Scopus and Web of Science. These databases were selected for their extensive coverage of business and management literature and for their widespread use in systematic reviews (Hiebl, 2021). Given the multidisciplinary nature of marketing intermediary research and the relatively recent consolidation of customer journey as a specific research stream, we adopted a deliberate two-stage screening approach. Two key considerations guided this methodological choice:

  1. Initial investigations showed that “customer journey” is not consistently used as keywords or in titles/abstracts across relevant studies, particularly in earlier works examining intermediaries’ impact on purchasing processes; and

  2. Limiting searches to “customer journey” could miss key studies that explore intermediary roles under different terms (such as “purchase decision-making” or “buyer behavior”).

As Hiebl (2021) suggests for cross-disciplinary topics, beginning with broader searches, followed by content screening, can enhance comprehensiveness while maintaining accuracy, helping identify relevant research across various terminological frameworks.

Therefore, our initial database search used a focused strategy on intermediary types:

Search String: (“marketing intermediar*” OR “surrogate consumer*” OR “opinion leader*” OR “influencer*” OR “expert source*” OR “supplier-affiliated intermediar*”)

Search fields: Title, abstract and keywords.

This search returned a total of 43,246 records (Scopus: n = 39,274; Web of Science: n = 3,972), reflecting the broad presence of intermediary research across marketing, consumer behavior and related fields.

Following the best practices for managing significant initial search results (Hiebl, 2021), we implemented a structured two-stage screening process with explicit inclusion and exclusion criteria.

3.2.1 Stage 1: database-level filtering.

We applied the following noncontent filters available in the database interfaces to narrow the initial set: - Document type: Articles (excluding conference papers, books, dissertations) – Language: English – Publication period: 1976–2024 [timeframe encompasses Donnelly’s (1976) seminal work through recent studies]. After applying these filters and removing n = 42.242 duplicates (via DOI and title matching using reference management software), n = 42.242 unique articles remained for title and abstract screening.

3.2.2 Stage 2: content-based screening for customer journey context.

The second stage involved detailed screening to ensure that the included articles substantively addressed intermediary roles in customer-journey contexts. This stage operationalized our research focus on how intermediaries influence customers across pre-purchase, purchase and post-purchase stages:

  1. Content-related inclusion criteria:

    • Substantive analysis of marketing intermediary influence on customer purchase processes, decisions, or experiences.

    • Clear focus on business-to-consumer (B2C) contexts where intermediaries mediate customer–company interactions.

    • Examination of intermediary impact at one or more journey stages (pre-purchase information search and evaluation, purchase facilitation and decision support or post-purchase consumption and relationship management).

  2. Content-related exclusion criteria:

    • Studies focusing solely on B2B intermediaries or distribution channel logistics without addressing customer experience.

    • Articles where intermediaries are mentioned only tangentially without substantive analysis of their roles.

    • Research examining intermediary functions exclusively from supply chain or operational efficiency perspectives without consideration of customer journey implications.

Two researchers independently screened 9,853 articles using an A/B/C system (Hiebl, 2021): (A) clearly relevant, (B) possibly relevant requiring full review or (C) irrelevant. This screening identified 36 articles for full-text review. Articles were excluded if they focused on distribution channels without customer experience (n = 8,914), addressed B2B intermediaries only (n = 547), or lacked analysis of intermediary roles in customer journeys (n = 356). The process yielded 36 articles examining marketing intermediaries in customer journeys, ensuring that the impact of all analyzed intermediaries on customer experiences was assessed.

For each of the 36 included articles, we extracted:

  • intermediary type(s) examined;

  • customer journey stage(s) analyzed;

  • key dimensions or characteristics of intermediary influence identified;

  • theoretical frameworks used; and

  • empirical contexts and main findings.

We used iterative thematic coding, using deductive codes from four intermediary types: surrogate consumers, opinion leaders, expert sources and supplier-affiliated intermediaries. By reading and comparing articles, we inductively identified recurring dimensions that define intermediary roles. After multiple iterations, we merged the codes into ten essential dimensions that describe intermediary functioning across journey stages. Analysis followed the TCM framework (Paul & Criado, 2020), coding for:

  • themes: key dimensions of intermediary influence;

  • context: journey stages, product categories and customer segments; and

  • methods: research approaches and settings.

This enabled systematic comparison and pattern identification across intermediary types and journey stages.

To enhance transparency into how the TCM framework was applied, the  Appendix provides a detailed summary of the key results for each TCM component. Specifically, the Themes component guided the identification and classification of the ten intermediary dimensions (e.g. control structure, engagement intensity and basis of influence). The Context component informed the analysis of journey stages (pre-purchase, purchase and post-purchase), product categories (experience goods, complex purchases and routine purchases) and customer segments (high-involvement vs low-involvement consumers). The Methods component enabled the systematic assessment of research approaches used across the 36 included studies, revealing that quantitative methods dominated (66%), followed by qualitative (31%) and mixed methods (3%). This structured application of the TCM framework ensured that the analysis moved beyond simple thematic grouping to capture how intermediary dimensions operate across different contexts and methodological traditions.

Our systematic review of the 36 articles identified three main contributions to understanding marketing intermediaries in the customer journey. First, we identified ten key dimensions that define intermediary roles. Second, we analyzed how four intermediary types – surrogate consumers, opinion leaders, expert sources and supplier-affiliated intermediaries – influence customers across pre-purchase, purchase and post-purchase stages. Third, we offered a typology that maps how these intermediary types leverage the ten dimensions across journey stages, providing a structured vocabulary for systematic comparison. These findings show how marketing intermediaries shape customer experiences throughout the journey.

Our thematic analysis identified recurring dimensions that characterize how marketing intermediaries operate and influence customer journeys. These dimensions emerged consistently across studies and intermediary types, though with varying emphases depending on the specific type and journey stage. Table 2 presents these dimensions, organized by nature (type-based vs degree-based), along with their definitions and supporting literature.

Table 2.

Stakeholder journey framework: dimensional structure

DimensionSubdimensions/continuumDefinitionKey supporting studiesJourney stage relevance
Part I: type dimensions (structural qualities of interdependence)
1. Control structure
  • Stakeholder control

  • Partner control

  • Joint control

The balance of power and decision-making authority among interacting stakeholdersRusbult and Van Lange (2003); Kelley and Thibaut (1978); Grimes (1978) Pre-purchase: high stakeholder control
Purchase: joint control dominant
Post-purchase: varies by relationship maturity
2. Covariation of interest
  • Coordination

  • Competition

The degree to which stakeholders’ outcomes correspond or divergeDeutsch (1949); Kelley and Thibaut (1978) Pre-purchase: coordination emphasis Purchase: mixed coordination/competition
Post-purchase: evolves with satisfaction
3. Mutuality of dependence
  • Symmetric

  • Asymmetric

The degree to which stakeholders are equally dependent on one anotherRusbult and Van Lange (2003); Kumar, Scheer, and Steenkamp (1995); Emerson (1962) Pre-purchase: typically, asymmetric
Purchase: increasing symmetry
Post-purchase: stabilizes based on value exchange
4. Information availability
  • Transparent

  • Opaque

Stakeholders’ level of access to interaction-related informationKelley et al. (2003); Akerlof (1970) Pre-purchase: often opaque
Purchase: increasing transparency
Post-purchase: high transparency expected
5. Temporal structure
  • Sequential

  • Concurrent

  • Cyclical

Pattern and timing of stakeholder interactions through the journeyKelley (1984); Rusbult and Van Lange (2003) All stages: variation by stakeholder type and relationship phase
Part II: degree dimensions (quantitative intensity measures)
6. Engagement intensityLow ← → highThe level of cognitive, emotional and behavioral resource investmentHollebeek et al. (2019, 2022); Brodie, Hollebeek, Jurić, and Ilić (2011); Kumar and Pansari (2016) Pre-purchase: variable intensity
Purchase: peak intensity
Post-purchase: maintenance level
7. Interaction frequencySporadic ← → continuousRate of touchpoint-based interactions between stakeholdersBecker and Jaakkola (2020); Lemon and Verhoef (2016) Pre-purchase: low frequency
Purchase: high frequency
Post-purchase: decreases over time
8. Relationship durationShort-term ← → long-termTemporal span of stakeholder journey and role cyclesPalmatier et al. (2006) Cumulative: impacts all subsequent stages and engagement patterns
9. Interdependence strengthWeak ← → strongOverall magnitude of mutual influence between stakeholdersKelley and Thibaut (1978) Pre-purchase: weak
Purchase: strengthening
Post-purchase: fully established
10. Basis of influence• Informational • Experiential • Prescriptive • TransactionalThe fundamental mechanism through which intermediaries exert influence on customer decisionsSolomon (1986); Aggarwal (1997); Casaló et al. (2020) Pre-purchase: informational and experiential bases dominate
Purchase: prescriptive and transactional bases peak
Post-purchase: transactional maintenance; prescriptive supports optimization

The dimensional framework is divided into two main categories: Type dimensions focus on the qualitative aspects of intermediary relationships; Control Structure deals with how decision-making power is shared among stakeholders (Rusbult & Van Lange, 2003); Covariation of Interest examines the alignment of stakeholder outcomes (Deutsch, 1949); Mutuality of Dependence considers the symmetry of interdependence (Emerson, 1962); Information Availability relates to the transparency of interactions (Akerlof, 1970); Temporal Structure outlines the patterns of stakeholder interactions (Kelley, 1984); Basis of Influence explores the ways intermediaries influence customer decisions (Solomon, 1986); and Degree Dimensions measure the intensity of stakeholder interactions, including Engagement Intensity, which assesses cognitive and behavioral investment (Hollebeek, Srivastava, & Chen, 2019), Interaction Frequency (Becker & Jaakkola, 2020), Relationship Duration (Palmatier, Dant, Grewal, & Evans, 2006) and Interdependence Strength. These dimensions provide a structured vocabulary for describing intermediary roles beyond context-specific descriptions. Unlike earlier studies that examined intermediaries in isolation, our framework enables systematic comparisons across different types and stages of the journey.

The literature reveals four distinct intermediary types, each exhibiting unique dimensional profiles and stage-specific influence patterns:

Surrogate consumers maintain a strong, consistent influence across all stages of the journey through high control, formal relationships and direct customer compensation (Solomon, 1986; Forsythe, Butler, & Schaefer, 1990). They exercise unilateral decision authority, conduct detailed needs assessments and assume fiduciary responsibility for outcomes (Hollander & Rassuli, 1999; Aggarwal & Mazumdar, 2008). Their influence spans pre-purchase consultation, purchase execution and post-purchase optimization (Arora & Bawa, 2022).

Opinion leaders exert their influence during the pre-purchase stage through informal communication and experiential credibility (Flynn, Goldsmith, & Eastman, 1996; Casaló, Flavián, & Ibáñez-Sánchez, 2020). They provide social proof and product information without direct compensation or decision control (Aggarwal, 1997). Their perceived impartiality stems from their independence from commercial relationships (Fakhreddin & Foroudi, 2022), making them particularly influential during the information search stage but largely absent during the purchase and post-purchase stages (Risselada, Verhoef, & Bijmolt, 2016).

Expert sources leverage professional credentials and technical knowledge to exert strong pre-purchase influence and moderate purchase involvement (Larrick & Feiler, 2015; Camerer & Johnson, 1991). They provide prescriptive advice based on specialized expertise, operate under professional ethical standards and share responsibility for outcomes (Biswas, Biswas, & Das, 2006). Unlike surrogate consumers, their engagement is typically project-based rather than ongoing (Aqueveque, 2015).

Supplier-affiliated intermediaries navigate dual allegiance between customer and supplier interests (Hollander & Rassuli, 1999). Despite moderate pre-purchase influence limited by impartiality concerns, they exert the strongest influence during purchase through transaction facilitation and maintain strong post-purchase engagement through service provision (Bahar et al., 2021). Their indirect supplier compensation creates both opportunities for value creation and risks of misaligned incentives (Gadde & Snehota, 2001).

Comparative analysis reveals three patterns. First, no single type dominates across all stages; each exhibits distinctive strengths in particular phases. Second, the ten dimensions combine differently across types, creating unique “dimensional profiles.” Third, these patterns suggest firms should strategically select different intermediary types based on specific journey stages they wish to influence.

Table 3 operationalizes the ten-dimensional framework (Table 2) by mapping how each intermediary type manifests these dimensions. This comparative analysis reveals distinctive dimensional profiles across the four intermediary types, demonstrating that while all types share the fundamental characteristic of mediating customer–company interactions, their specific configurations vary systematically.

Table 3.

Dimensional characteristics across intermediary types

DimensionSurrogate consumersOpinion leadersExpert sourcesSupplier-affiliated intermediaries
Part I: type dimensions (structural qualities)
1.Control structureHIGH – Stakeholder controlLOW – Distributed controlMODERATE-HIGH – Advisory controlMODERATE – Shared control
Unilateral decision authority through formal delegation; the client grants complete control over purchase decisionsNo decision authority; influence limited to information provision without binding powerStrong prescriptive influence approaching directive authority; recommendations carry professional weightInfluence through information control and option presentation; steering within the supplier portfolio
2.Covariation of interestCOORDINATION dominantCOORDINATION dominantMIXED coordinationCOMPETITION potential
Direct customer compensation aligns interests; fiduciary duty ensures outcome correspondenceNo commercial conflicts; genuine interest alignment through shared consumption valuesProfessional ethics promote coordination; potential conflicts from referral relationshipsDual allegiance creates interest divergence; supplier compensation may conflict with customer needs
3.Mutuality of dependenceASYMMETRIC → symmetricASYMMETRICASYMMETRICMODERATE symmetry
Initially customer-dependent; evolves toward mutual dependence through ongoing relationshipsThe customer depends on the leader for information; the leader is independent of individual followersThe customer depends on expert knowledge; the expert is less dependent on individual clientsMutual dependence on transaction completion; intermediary needs sales, customer needs access
4. Information availabilityHIGH transparencyVARIABLE transparencyMODERATE-HIGH transparencyMODERATE-LOW transparency
Full disclosure expected due to fiduciary duty; documented processes and clear communicationDepends on disclosure of commercial relationships; undisclosed sponsorships reduce transparencyProfessional standards require disclosure; technical complexity may limit complete comprehensionSupplier relationships are often undisclosed; information is filtered through commercial interests
5.Temporal structureCYCLICAL – ContinuousSEQUENTIAL – EpisodicSEQUENTIAL – Project-basedCONCURRENT – Transaction-linked
Ongoing relationships across multiple purchase cycles; sequential engagement through all stagesConcentrated in pre-purchase; one-directional communication; sporadic reengagementDefined engagement periods; concentrated pre-purchase and purchase involvementPeaks at purchase; maintains presence across stages tied to transaction lifecycle
Part II: degree dimensions (quantitative intensity measures)
6.Engagement intensityVERY HIGHLOW-MODERATEHIGHMODERATE
Deep cognitive, emotional and behavioral investment; comprehensive involvement in customer decisionsLimited to content creation and sharing; no direct investment in individual customer outcomesIntensive cognitive engagement during consultation; emotional investment in professional reputationVariable based on transaction value; higher for complex products, lower for routine purchases
7.Interaction frequencyCONTINUOUSSPORADICCONCENTRATEDVARIABLE
Regular touchpoints throughout the relationship; frequent communication across all journey stagesOne-to-many communication; infrequent individual interaction; content-driven engagementIntensive during project scope; minimal between engagements; appointment-basedHigh at the purchase point; sporadic pre-purchase; periodic post-purchase for service needs
8.Relationship durationLONG-TERMSHORT-TERM /episodicPROJECT-BASEDTRANSACTION-LINKED
Multi-year relationships; ongoing retainer arrangements; lifecycle partnershipsNo formal relationship; influence ends with content consumption; no commitmentDefined by engagement scope; may extend to ongoing advisory; relationship renewal optionalTied to purchase cycle; may extend through warranty/service period; renewal at repurchase
9.Interdependence strengthSTRONGWEAKMODERATE-STRONGMODERATE
High mutual influence; customer outcomes directly affect intermediary reputation and incomeLow mutual influence; leader success is not dependent on individual follower outcomesProfessional outcomes linked to recommendations; reputation effects create interdependenceTransaction completion creates mutual interest; limited post-purchase interdependence
10.Basis of influencePRESCRIPTIVEEXPERIENTIALINFORMATIONAL-PRESCRIPTIVETRANSACTIONAL
Authority-based influence through professional expertise and delegated decision powerInfluence through personal experience, authenticity, and social identificationInfluence through specialized knowledge, credentials and technical authorityInfluence through transaction facilitation, access provision and convenience

The pre-purchase phase shows intense intermediary activity, with all four types influencing customer information search and evaluation. During the purchase process, surrogate consumers and supplier-affiliated intermediaries play significant roles, while opinion leaders and expert sources lose influence. In post-purchase, surrogate consumers and supplier-affiliated intermediaries predominate, with minimal presence of opinion leaders and experts.

This dimensional framework provides the first comprehensive model of marketing intermediary diversity and impact across journey stages, demonstrating versatility across diverse stakeholder contexts. In B2B partnerships, joint control structures and symmetric dependence characterize long-term relationships with continuous engagement, as exemplified by Apple’s supplier relationships and Coca-Cola’s distributor networks. These relationships exhibit high engagement intensity and a strong emphasis on coordination throughout the journey.

Moreover, B2C transactions feature stakeholder control, uneven dependence and infrequent interactions (Lemon & Verhoef, 2016; Grewal & Roggeveen, 2020). Online shopping shows moderate engagement and brief relationships, with coordination and competition dynamics. Employee–employer relationships evolve from high partner control to balance as relationships mature, maintaining engagement during career progression. Competitor interactions show shared control, with competition-driven variations and fluctuating engagement due to irregular interactions.

Our literature review shows that marketing intermediaries act as co-creators of customer experiences rather than just exchange facilitators (Gadde & Snehota, 2001; Pokhrel & Thapa, 2007). The typology proposed in this study reveals that the dimensions identified – especially personalization, control structure and temporal engagement – show that intermediaries shape value across the pre-purchase, purchase and post-purchase stages. Surrogate consumers help creating customer experiences (Solomon, 1986; Forsythe et al., 1990; Arora & Bawa, 2022), while opinion leaders shape pre-purchase decisions through experiential credibility in digital environments (Casaló et al., 2020; Fakhreddin & Foroudi, 2022).

Intermediaries establish interdependent relationships with customers that alter journey dynamics. Intermediaries can experience touchpoints on behalf of customers, usurping their role in the journey (Solomon, 1986; Forsythe et al., 1990; Arora & Bawa, 2022). Their unilateral actions determine outcomes, with surrogate consumers and supplier-affiliated intermediaries maintaining high engagement across journey stages (Li & Feng, 2021). Customer dependence directly correlates with intermediaries’ power over journey outcomes (Hollebeek et al., 2023; Steffel & Williams, 2018).

The dimensional framework shows versatility across stakeholder contexts. B2B partnerships feature joint control and symmetric dependence in long-term relationships, as in Apple’s supplier relationships and Coca-Cola’s distributor relationships. B2C contexts have high stakeholder control, asymmetric dependence and sporadic interactions (Lemon & Verhoef, 2016; Grewal & Roggeveen, 2020). E-commerce and retail demonstrate moderate engagement intensity with mixed coordination dynamics.

Employee–employer relationships evolve from controlled to balanced dynamics during onboarding, while competitor interactions feature shared control with low dependency through market exchanges. Intermediaries’ interests guide their actions: supplier-affiliated intermediaries prioritize firms while serving customers, expert sources focus on customers while meeting firms’ needs and surrogate consumers aim to coordinate to enhance satisfaction (Hollebeek et al., 2023). This interest alignment influences intermediary patterns and creates divided customer journeys based on purchases and assessments.

These findings extend stakeholder journey theory (Hollebeek, Kumar, & Srivastava, 2022a, 2023) by showing intermediaries’ dimensional configurations vary across journey stages. The framework advances customer journey research (Lemon & Verhoef, 2016; Becker & Jaakkola, 2020) by modeling patterns of intermediary diversity and influence. By integrating interdependence theory (Kelley & Thibaut, 1978; Rusbult & Van Lange, 2003) with journey conceptualization, we show how relationship characteristics and interaction patterns shape customer experiences.

This research emphasizes the crucial role of marketing intermediaries in shaping customer experiences by responding to stimuli during managerial and consumption processes. These intermediaries facilitate customer journeys as company representatives or systemic stakeholders. The article identifies four types of marketing intermediaries, ten characteristics and their impact across purchasing stages. The resulting typology maps how surrogate consumers, opinion leaders, expert sources and supplier-affiliated intermediaries leverage these ten dimensions across customer journey stages, providing a structured vocabulary for analyzing intermediary diversity and impact. Findings show that surrogate consumers and supplier-affiliated intermediaries influence all journey stages, while opinion leaders and expert sources influence the pre-purchase phases. Their effects vary by context despite shared traits. This perspective illuminates the overlooked role of intermediaries in customer experiences and suggests research opportunities in managerial stimuli, consumption processes and integrative approaches, given the growing interest in customer experience.

Our framework offers three key theoretical contributions. First, we identify ten dimensions to define intermediary roles beyond context-specific descriptions, enabling researchers to specify characteristics in terms of these dimensions. Second, our four-type framework enables systematic comparison across intermediary types using standard dimensions, showing that all mediate customer–company relationships, but with varying levels of control. Third, we confirm that intermediary influence varies throughout the customer journey: opinion leaders and expert sources dominate the pre-purchase stages. In contrast, surrogate consumers and supplier-affiliated intermediaries operate throughout the stages, advancing customer journey theory by mapping intermediaries to touchpoints.

Our dimensional framework guides intermediary selection using ten dimensions as assessment criteria. For experience goods, impartial opinion leaders with informal communication are effective. Complex purchases benefit from surrogate consumers offering control and personalization. For full journey support, supplier-affiliated intermediaries or surrogates with broad involvement work best. Performance evaluation uses three key metrics: opinion leaders’ impartiality, surrogate consumers’ personalization and intermediaries’ balance of responsibility.

Despite the contributions outlined above, this study has several limitations that should be acknowledged. First, the SLR is confined to articles published in English and indexed in the Scopus and Web of Science databases, potentially excluding relevant studies published in other languages or available in other databases. Second, while the search strategy was deliberately broad to capture diverse intermediary research, the two-stage screening process relied on content-based assessment by two researchers, which, despite inter-rater checks, may have introduced some subjectivity in article selection. Third, the proposed typology and dimensional framework are derived from existing literature and have not been empirically validated through primary data collection. Future research should test the framework across different product categories, cultural contexts and digital environments. Fourth, the rapid evolution of digital intermediaries (e.g., algorithmic recommendation systems, AI-based shopping assistants) may not be fully captured in the current literature, suggesting that the framework will need to be updated as new intermediary forms emerge. Finally, the mapping of intermediary influence across journey stages is based on patterns identified in the reviewed studies and represents tendencies rather than deterministic relationships, as contextual factors may moderate these influence patterns in ways not fully explored here.

This article advances intermediary research by synthesizing disparate findings into a cohesive framework mapping intermediary dimensions across customer journey stages. While previous research has explored isolated aspects of intermediary influence (Aggarwal, 1997; Solomon, 1986) or specific types, such as opinion leaders (Casaló et al., 2020), our framework enables systematic comparisons across types, stages and contexts. We propose several testable propositions to guide future empirical research, as presented in Table 4.

Table 4.

Research propositions and supporting literature

Prop.Proposition statementSupporting literature
P1Intermediary influence on purchase outcomes increases when type and degree dimensions align with customer decision-making needs at specific journey stagesKelley and Thibaut (1978); Rusbult and Van Lange (2003); Hollebeek et al. (2019); Becker and Jaakkola (2020) 
P2Surrogate consumers exert greater influence on final purchase decisions than other intermediary types, due to greater control and involvement throughout the purchase journeySolomon (1986); Forsythe et al. (1990); Hollander and Rassuli (1999); Aggarwal and Mazumdar (2008); Arora and Bawa (2022) 
P3Opinion leader effectiveness is moderated by perceived source impartiality, with undisclosed commercial relationships diminishing influence magnitudeAggarwal (1997); Flynn et al. (1996); Casaló et al. (2020); Fakhreddin and Foroudi (2022) 
P4In complex, high-involvement purchases, customers rely more heavily on intermediaries exhibiting high control structure, strong engagement intensity and prescriptive basis of influence than on those with low control and informational basis of influenceSolomon (1986, 1987); Larrick and Feiler (2015); Biswas et al. (2006); Steffel and Williams (2018) 
P5Supplier-affiliated intermediaries’ influence is constrained by perceived conflicts of interest, and their effectiveness depends on balancing customer service with commercial objectivesHollander and Rassuli (1999); Gadde and Snehota (2001); Bahar et al. (2021) 
P6The relative importance of specific dimensions varies systematically across product categories, customer segments and purchase complexityLemon and Verhoef (2016); Grewal and Roggeveen (2020); Hollebeek et al. (2023) 
P7Post-purchase intermediary engagement enhances customer satisfaction, loyalty and repurchase intentions compared with intermediary types that have minimal post-purchase presenceSolomon (1986); Arora and Bawa (2022); Bahar et al. (2021); Palmatier et al. (2006) 
Source(s): Table by the authors

Future research can test these propositions across settings. Our findings provide frameworks for intermediary-customer interactions. Quantitative methods (66%) dominated, followed by qualitative (31%) and mixed methods (3%). Research should combine qualitative and quantitative approaches while using longitudinal methods to track intermediary performance. Studies should examine the effectiveness of promotional tools across intermediary types. Understanding the complexity of intermediaries can build customer trust. Comparative studies would validate the model for context-specific strategies.

The authors would like to thank Professor Larissa Becker and the two anonymous reviewers for their very insightful comments.

Daiane Pereira da Fonseca, Conceptualization (Equal), Data curation (Equal), Formal analysis (Equal), Investigation (Equal), Methodology (Equal), Resources (Equal), Software (Equal), Visualization (Equal), Writing – original draft (Equal), Writing – review and editing (Equal); Karim Marini Thomé – Corresponding Author, Conceptualization (Lead), Investigation (Equal), Project administration (Lead), Supervision (Lead), Visualization (Equal), Writing – original draft (Lead), Writing – review and editing (Lead); Ricardo Limongi, Conceptualization (Equal), Formal analysis (Equal), Investigation (Equal), Methodology (Equal), Visualization (Equal), Writing – original draft (Equal), Writing – review and editing (Equal)

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Table A1.

Key findings: themes, contexts and methodologies identified in marketing intermediaries’ studies

Author full namesArticle titleSource titlePublication yearType of intermediaryKey findings: themes, contexts and methodologies identified based on the results of reviews of the selected literature
Rensburg et al.Male fashion leadership: Hedonic and utilitarian clothing shopping motivations within the South African contextInternational Journal of Fashion Design Technology and Education2023Opinion leadersTheme: shopping motivations
Context: South Africa
Methodology: quantitative approach
Raza, Ali; Ishaq, Muhammad Ishtiaq; Khan, Ayesha; Ahmad, Rehan; Salem, Narjes HajHow fashion celebrity influences customer engagement behavior in emerging economy? Social network influence as moderatorJournal of Retailing and Consumer Services2023Opinion leadersTheme: social media influencer Context: Pakistan
Methodology: quantitative approach
Barta, Sergio; Belanche, Daniel; Fernandez, Ana; Flavian, MartaInfluencer marketing on TikTok: The effectiveness of humor and followers’ hedonic experienceJournal of Retailing and Consumer Services2023Opinion leadersTheme: social media influencer Context: Spain
Methodology: quantitative approach
Dou, Wenyu; Wu, Jintao; Yan, Ming; Tang, JunyiImpact of influencers’ influencing strategy on follower outcomes: evidence from ChinaAsia Pacific Business Review2023Opinion leadersTheme: purchase intention and decision
Context: Spain
Methodology: quantitative approach
Lopez, Manuela; Sicilia, Maria; Verlegh, Peeter W.J.How to motivate opinion leaders to spread e-WoM on social media: monetary vs non-monetary incentivesJournal of Research in Interactive Marketing2022Opinion leadersTheme: social media influencer
Context: Spain
Methodology: quantitative approach
Arora, Sonia; Bawa, AnupamResponse to Personalized Marketing Communication: An Empirical Investigation Comparing Users and Non-Users of Surrogate ShoppersJournal of Internet Commerce2022SurrogateTheme: marketing communication
Context: India
Methodology: quantitative approach
He, Wei; Jin, ChenyuanA study on the influence of the characteristics of key opinion leaders on consumers’ purchase intention in live streaming commerce: based on dual-systems theoryElectronic Commerce Research2022Opinion leadersTheme: purchase intention and decision
Context: China
Methodology: quantitative approach
Farrell, Justine Rapp; Campbell, Colin; Sands, SeanWhat Drives Consumers to Engage with Influencers? Segmenting Consumer Response to Influencers: Insights for Managing Social-Media RelationshipsJournal of Advertising Research2022Opinion leadersTheme: social media influencer
Context: USA
Methodology: mixed-methods
Piehler, Rico; Schade, Michael; Sinnig, Julia; Burmann, ChristophTraditional or ‘instafamous’ celebrity? Role of origin of fame in social media influencer marketingJournal of Strategic Marketing2022Opinion leadersTheme: social media influencer Context: Russia
Methodology: qualitative
Sun, Yan; Wang, Rachel; Cao, Dongmei; Lee, RouyiWho are social media influencers for luxury fashion consumption of the Chinese Gen Z? Categorisation and empirical examinationJOURNAL OF Fashion Marketing and Management2022Opinion leadersTheme: social media influencer
Context: China
Methodology: qualitative approach
Farivar, Samira; Wang, FangEffective influencer marketing: A social identity perspectiveJournal of Retailing and Consumer Services2022Opinion leadersTheme: social media influencer
Context: USA
Methodology: quantitative approach
Fakhreddin, F., Foroudi, P.Instagram Influencers: The Role of Opinion Leadership in Consumers’ Purchase BehaviorJournal of Promotion Management2022Opinion leadersTheme: purchase intention and decision
Context: Iran
Methodology: quantitative approach
Tobon, Sandra; Garcia-Madariaga, JesusThe Influence of Opinion Leaders’ eWOM on Online Consumer Decisions: A Study on Social InfluenceJournal of Theoretical and Applied Electronic Commerce Research2021Opinion leadersTheme: social media influencer
Context: Spain
Methodology: quantitative approach
Djafarova, Elmira; Bowes, Tamar‘Instagram made me buy it’: Generation Z impulse purchases in the fashion industryJournal of Retailing and Consumer Services2021Opinion leadersTheme: social media influencer
Context: UK
Methodology: qualitative approach
Hamilton, R.; Ferraro, R.; Haws, K.; Mukhopadhyay, A.Traveling with companions: The social customer journeyJournal of Marketing2021SurrogateTheme: social media influencer context: USA
Methodology: qualitative approach
Romero-Rodríguez, Margarita; Rodríguez-Donate, M. Carolina; Hernández-García, M. Carmen; Rodríguez-Brito, M. GraciaInfluence of opinion leadership identification criteria: The purchase of smartphonesJournal of Retailing and Consumer Services2020Opinion leadersTheme: social media influencer Context: Spain
Methodology: quantitative approach
Casalo, Luis, V.; Flavian, Carlos; Ibanez-Sanchez, SergioInfluencers on Instagram: Antecedents and consequences of opinion leadershipJournal of Business Research2020Opinion leadersTheme: social media influencer Context: Spain
Methodology: quantitative approach
Kay, Samantha; Mulcahy, Rory; Parkinson, JoyWhen less is more: the impact of macro and micro social media influencers’ disclosureJournal of Marketing Management2020Opinion leadersTheme: social media influencer
Context: Australia
Methodology: quantitative approach
Lin, Hsin-Chen; Bruning, Patrick F.; Swarna, HepsiUsing online opinion leaders to promote the hedonic and utilitarian value of products and servicesBusiness Horizons2018Opinion leadersTheme: social media influencer
Context: Canada
Methodology: qualitative approach
Filieri, R.; McLeay, F.; Tsui, B.; Lin, Z.Consumer perceptions of information helpfulness and determinants of purchase intention in online consumer reviews of servicesInformation & Management2018Expert sourceTheme: purchase intention and decision
Context: Hong Kong
Methodology: quantitative approach
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Published in RAUSP Management Journal. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence maybe seen at Link to the terms of the CC BY 4.0 licenceLink to the terms of the CC BY 4.0 licence.

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