Adaptive marketing reframed as a cybernetic control loop — sensors, feedback and deviation signals — that keeps an enterprise's marketing strategy responsive amid global instability and a rapidly changing market.
Environment → sensors → management decision → adaptation tools → business processes → results → deviation signal, then back again.
The article is devoted to the study of adaptive marketing as a key element of strategic management of an enterprise in the conditions of global instability and a rapidly changing market environment. It analyzes the conceptual and practical aspects of integrating adaptive marketing strategies into the management system to ensure competitiveness and sustainable development of companies. The purpose of the study is to theoretically substantiate the role of adaptive marketing in the strategic management system of an enterprise, as well as to develop practical mechanisms for its implementation to increase the flexibility and efficiency of companies in a dynamic economic environment.
The study uses a systematic analysis of scientific literature, methods of comparative analysis, business process modeling, as well as strategic management tools, in particular hypergraphic models and responsibility allocation matrices (RACI). To assess the effectiveness of adaptive strategies, three-dimensional TQC models are used, which allow for analyzing the relationship between the cost, duration and quality of marketing projects. The empirical basis was provided by examples of business processes of enterprises in various industries, as well as a generalization of modern marketing practices.
The scientific results include the development of a conceptual model of adaptive marketing, which integrates the principles of adaptive management and marketing activities, as well as the formalization of business processes using directed hypergraphs that reflect the relationships between target segments, value propositions, resources and sales channels. A methodology for evaluating adaptation strategies through time-cost matrices and TQC diagrams is proposed, which allow for identifying critical stages of projects and optimizing management decisions. Prospects for further research are related to the deepening of the analysis of the impact of digital technologies, in particular artificial intelligence, on adaptive marketing strategies, as well as the development of universal algorithms for automating adaptation processes in conditions of high market turbulence.
In conditions of global instability, intensive digitalization of business processes, transformation of consumer behavior, and growing competition in domestic and foreign markets, enterprises face the need to respond promptly to dynamic changes in the external environment, which in turn requires the implementation of effective approaches to strategic management. One such approach is adaptive marketing — a concept that combines the flexibility of marketing tools, the ability to quickly modify strategy in response to external influences, and orientation toward the long-term development of the enterprise, taking into account current and projected changes in the market environment.
The growing complexity of market conditions, frequent changes in consumer priorities, increasing regulatory pressure, the development of digital platforms, and the need for sustainable growth necessitate a revision of traditional approaches to marketing activities. In this context, adaptive marketing acquires particular significance as a tool that allows not only to promptly adapt marketing strategies to new operating conditions, but also to ensure the systematic integration of marketing decisions into the overall enterprise development strategy.
That is why the study of adaptive marketing as a key element of enterprise strategic management is not only scientifically important, but also practically necessary for those business entities seeking to achieve flexibility, innovativeness, and stable development in an unstable and changing economic environment.
Rapid, multifactorial shifts in the external environment demand prompt managerial response.
Digital platforms and changing consumer behavior reshape how marketing must operate.
Stronger regulation and shifting priorities force a revision of traditional marketing.
The need for stable, long-term development integrates marketing into overall strategy.
In the works of Hulyk, Naidovska and Zabihai [1] and Al Jabri & Lahrech [2], marketing was considered as a set of measures aimed at identifying and satisfying consumer needs in order to achieve commercial success. At the same time, modern scientific thought emphasizes the growing role of the adaptive component, driven by increasing volatility of the external environment, intensified competition, and the acceleration of innovative transformations.
In scientific discourse, adaptive marketing is most often associated with tactical measures related to the modification of marketing-mix elements. However, in the context of strategic management this approach takes on a much broader meaning. In particular, in the works of AlQahtani, Badi & Nasaj [3] and Yakivchenko [4], adaptive marketing is considered as a system that includes the analysis of market-trend changes, risk management, scenario building, and the integration of marketing tools into strategic decisions.
According to the concept of adaptive management developed within organizational theory, management under uncertainty involves creating a flexible feedback system that allows actions to be adjusted depending on changes in external and internal factors. In this context, adaptive marketing should be regarded as a practical embodiment of adaptive management in the sphere of market activity — Pacheva & Lutai [5] and Boom-Cárcamo et al. [6] note the need for constant revision of marketing goals under high turbulence.
Ebuzoeme [7] emphasizes that the capacity for adaptation is not only a competitive advantage but a critically important factor of enterprise survival, with flexibility embedded into strategic models as early as the planning stage. Shevchenko & Borysenko [8] demonstrate that effective strategic marketing management presupposes the company's capacity for cognitive adaptation — readiness to change its perception of its own market position. Ukrainian scholars contribute further: Kohut [9] stresses local operating conditions and the institutional environment; Shulha [10] highlights adaptive algorithms in strategic planning under digitalization; and Bonini et al. [11] emphasize adaptive marketing as a tool of long-term positioning. Taken together, the sources frame adaptive marketing as a conceptually integral and instrumentally rich model that transforms traditional marketing and integrates it into strategic planning.
To improve the methodological approach aimed at implementing adaptive marketing as a tool of enterprise strategic management — ensuring the enterprise's ability to respond promptly to external challenges while achieving long-term goals.
The application of adaptive management in marketing practice is not new: the literature has long interpreted marketing adaptation as the purposeful modification of an enterprise's marketing strategy to fit changes in the external environment, the transformation of goals, and the dynamics of target-audience expectations. The term "adaptive marketing" carries a broader meaning — according to Shen, Sha & Wu [12], it spans the identification of intuitive consumer requests and creative innovations, the formation of demand for them, the prompt release and sale of products able to meet changing conditions, and the creation of effective mechanisms for promoting goods and services.
The concept of adaptive management resonates with the essence of adaptive marketing: constant response to environmental change, flexibility of organizational structure, and feedback systems that track key external parameters and detect internal deviations. Adaptive marketing is therefore an integrative concept that combines elements of adaptive marketing (orientation toward changing demand) with components of adaptive management related to strategic flexibility and the internal capacity for transformation [13, p. 58–59].
In the visualized model, the key object of management is the enterprise's business processes and projects, which are under the direct influence of adaptive factors formed through interaction with a dynamic, multifactorial and often unstable market. The content and results of these processes serve as the basis for achieving strategic and commercial goals — competitiveness, market flexibility, and effective interaction with target consumer segments [14, p. 6–7]. The system implements principles of technical adaptive control: the management environment and its factors; the object of management; results of activity; external sensors as feedback that signal market change; and internal deviation sensors that record mismatches with expected goals [15, 16].
Adaptation of marketing strategies. Triggered while the strategy is being developed, using analysis of the market environment and forecasting. Success is measured against the baseline strategy; the goal is profitability and effectiveness under given market conditions.
Adaptation of marketing processes. Runs cyclically across the whole life cycle, driven by the results of process cycles. It compensates for the negative impact of market change over time, aligning actual with target indicators.
| Comparison criterion | Adaptation of marketing strategies (static) | Adaptation of marketing processes (dynamic) |
|---|---|---|
| 1. Source of the need for adaptation | Analysis of the market environment based on data from participants of the marketing system | Results of one or several cycles of marketing processes |
| 2. Goal of the adaptation process | Increase the effectiveness of the marketing strategy relative to its results in the target market | Compensate the negative impact of market-environment changes over time |
| 3. Success criteria | Success of the adapted strategy compared with the baseline | Correspondence of target and actual indicators of marketing-process results |
| 4. Conditions for adaptation | At the stage of developing the marketing strategy | Cyclically, throughout the entire life cycle of marketing processes |
| 5. Time resources for forming the strategy | According to the target task | Limited; until adaptation is complete, each process cycle uses enterprise resources inefficiently |
| 6. Direction of search for adaptation zones | Analysis of the market environment and forecasting its influence on strategy implementation | Analysis of process-cycle results and their correspondence to commercial goals |
| 7. Final result | Profitability and effectiveness of the marketing strategy under given market conditions | Adaptation of key marketing-process parameters to market-environment changes |
The timeliness of management decisions depends on information support acting as "sensors" — feedback elements that record external change and detect internal deviations. Such sensors include every participant of the sales chain: distributors, retail networks, logistics operators and end consumers, who report demand, shifting preferences and channel effectiveness [17, p. 8]. The signal of deviation from targets is most often the enterprise's financial reporting, usually updated monthly, revealing trends in profitability, costs and sales. When results meet expectations the system runs in a stable mode; when significant discrepancies appear, corrective influences move the process or project into a new adapted state matching updated market requirements [18, p. 166].
Adapting a marketing-oriented project starts from a proven baseline model and uses benchmarking against internal practices and external sources. At the initial stage a roadmap is formed — a step-by-step structure with risks, checkpoints and expected results — ensuring managerial transparency and strategic predictability [19, p. 491]. Within the roadmap a RACI responsibility-allocation matrix (Responsible, Accountable, Consulted, Informed) delineates functional duties, minimizes conflicts, and strengthens accountability at each stage [20].
Half of every role assignment in the matrix is "Informed".
Marketing & Sales carry most Responsible / Consulted load; Logistics & Technical are largely Informed.
Adaptation must anticipate flexible responses to local-market challenges — not only consumer preferences, but also legal restrictions, logistical nuances, climatic conditions and cultural differences that affect the content and timing of a project. The next step is a "terms–cost" matrix that ties together all project parameters. For each project stage the impact of every adaptation factor is assessed; the difference in duration or cost of the n-th stage under the m-th factor is recorded in the corresponding cell [21, p. 164]. Stages with the largest duration or resource cost are the most critical and require increased managerial control.
| Adaptive marketing factors | Strategy stage 1 | Strategy stage 2 | … | Strategy stage n |
|---|---|---|---|---|
| Factor 1 (e.g. adaptation to changes in consumer preferences) | ∆T11, ∆S11 | ∆T12, ∆S12 | … | ∆T1n, ∆S1n |
| Factor 2 (e.g. adaptation to the competitive environment) | ∆T21, ∆S21 | ∆T22, ∆S22 | … | ∆T2n, ∆S2n |
| … | … | … | … | … |
| Factor m (e.g. adaptation to regulatory changes) | ∆Tm1, ∆Sm1 | ∆Tm2, ∆Sm2 | … | ∆Tmn, ∆Smn |
A deeper analytical picture comes from the three-dimensional TQC model (Time–Quality–Cost), which simultaneously displays total cost, duration and the achieved result for each stage, allowing the team to judge how well an adapted project fits the established limits on budget, timelines and quality [22]. The visualization helps to spot, in time, the stages where the permissible limits set in the strategic plan are violated.
Because the baseline characteristics — total duration Tb, quality Qb and full cost Cb — are fixed, just like the permissible limits for the adapted project (Cmax, Tmax, Qmax), the volume of permissible change is the difference between these limit values and the actual baseline parameters [23]. The TQC diagram lets management set the permissible bounds of variability for the adapted project — enabling risk management, well-grounded change decisions, and strategic alignment between planned benchmarks and current conditions.
The overall effectiveness of the adapted project can be defined through a system of inequalities, where each constraint sets the permissible deviation in duration, cost or quality relative to the strategic benchmarks. In practice, T, C and Q carry unequal significance for different customers and planners [24, p. 51]. Under strict budget constraints with fixed product quality, the cost parameter dominates and the constraint on ΔCadapt becomes decisive. In the case studied here, however, the quality of the project result is paramount — understood not only as technical characteristics but as strategic positioning, audience fit, pricing effectiveness, and the stability of long-term customer relationships, so that launch timelines may become conditional [25, p. 302].
Baseline parameters sit inside the permissible limits; the gap between them is the room available for adaptation. Magnitudes are illustrative, not empirical.
Any business process within adaptive marketing needs resources, defined executors and other participants inside the managed system, so the first modeling step is to delimit the object of management precisely. A directed hypergraph — the generalized graph representation of complex systems — is an ordered pair (V, E), where V is a non-empty set of objects treated as vertices and E is a family of non-empty subsets of V acting as directed edges. This captures the multi-connectivity and interdependence of elements — one element of the business environment can influence several others in parallel. Building on the block structure of A. Osterwalder's business-model canvas, the authors propose a modified directed hypergraph as a base template (Fig. 3) for formalizing the adaptive business process.
The initial element is target consumer segments (block 1), which set the value proposition (block 2); that, in turn, shapes key activities (block 3), customer relationships (block 4) and sales channels (block 5). These require key resources (block 6) and strategic partners (block 7), since no economic system operates in isolation. Resource volume and partner terms drive overall cost (block 9), while channel effectiveness and communication quality drive revenue (block 8). The ratio of revenue to cost — profitability — measures the effectiveness of adaptive marketing within a given process (block 10 — target indicator).
Suppliers, agencies & media partners
Main actions of the process
Attractiveness & value to the audience
Formal & informal communication
Target market segments
Assets, incl. human resources
Delivery of the value proposition
Resource & partnership cost structure
Flows driven by the marketing process
Profitability = revenue ÷ cost
A surface approach to adaptation risks distorting management decisions, so each business process is formalized as a hypergraph whose nodes correspond to the canvas blocks and include one or more vertices for individual characteristics — time, cost, quality, degree of customer value — in qualitative or quantitative form. Table 4 illustrates the template filled in for the enterprise's sales activity [19]. Across the study, all processes were systematized by purpose into three groups: sales processes (interaction with end consumers); service processes that add product value (production, logistics, processing, packaging, marketing support); and functional-organizational processes serving internal activity.
| # | Model block | General description | Example characteristic |
|---|---|---|---|
| 1 | Target market segments | Internal & external consumers of the marketing-process results | Target audiences by demographic, behavioral or geographic features |
| 2 | Value proposition | The result of the process — its attractiveness and value to the audience | Index of uniqueness of the marketing proposition in the market |
| 3 | Key marketing activities | Main actions; share of external resources in implementation | Indicator of autonomy of marketing campaigns |
| 4 | Interaction with customers | Formalized & non-formalized communication methods | Brand awareness, reputation, NPS (Net Promoter Score) |
| 5 | Promotion channels | Methods & channels of delivering the proposition | Number of active channels, sales volume through channels |
| 6 | Key resources | Assets used in the process, including human resources | Department personnel cost, tool depreciation, other operating costs |
| 7 | Key partners | Suppliers of resources, advertising agencies, media partners | Cost of external partners' services, volume of attracted resources |
| 8 | Costs | Structure of costs for implementing the process | Total costs, incl. resources and partnership |
| 9 | Revenues | Revenue flows — e.g. sales growth or increased loyalty | Revenue from sales driven by marketing campaigns |
| 10 | Target indicator | Difference or ratio of revenues to costs | Return on marketing investment (ROMI) or marketing profit |
Adaptive marketing is defined as a system that integrates adaptive-management principles with traditional marketing, enabling flexible response to changes in demand, technology, regulation and consumer behavior through prompt correction of strategic directions.
The main objects of management are business processes and projects, shaped by adaptive factors that arise in response to market uncertainty and multifactoriality.
RACI matrices, project roadmaps, "time–cost" matrices and 3-D TQC graphs reveal key points of influence and allow rapid correction of strategy parameters without breaching budget, time or quality limits.
The hypergraphic model formalizes the logic of the adaptive process — visualizing relationships, exposing zones of high interdependence, and supporting optimal management scenarios for strategic planning and risk minimization.
A classification of adaptive marketing processes by nature of impact is developed — sales (on the consumer), service (on value perception) and functional-organizational (on the internal structure). This grounds a conceptual model that establishes the sequence and logical links between target segments, value proposition, main activities, communications, sales channels, resources, partners, costs and revenues, with effectiveness indicators defined for each stage — ensuring flexible adaptation of the strategy to changes in the internal and external environment.
