How to cultivate true customer loyalty: A human-centred approach for long-term growth

Gina Michnowicz & Nalani Jay

Journal of Digital & Social Media Marketing2025https://doi.org/10.69554/ffdo9887article
ABDC C
Weight
0.50

What the paper says

Customer loyalty is a key driver of long-term profitability. But earning this loyalty takes more than quality products or discounts. Consumers expect brands to expand beyond systematic transactions to deliver consistent excellence as well as meaningful human-centric connections across digital, social and inperson experiences. This paper explores what is essential for true customer loyalty: a holistic approach that aligns product quality, emotional engagement and seamless customer journeys. By understanding seven key consumer loyalty types and the tools to reach them, brands can identify their most valuable advocates and tailor strategies to deepen human connections and drive results. The seven essential tactics outlined — from measuring satisfaction to focusing on omni-channel human-centred storytelling to resolving issues quickly — offer actionable steps for businesses to strengthen relationships, optimise touch points and increase profit. Proof points from Apple, Dove and Sephora highlight how leading brands integrate these tactics to sustain loyalty even in competitive markets. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/ business/.

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https://doi.org/https://doi.org/10.69554/ffdo9887

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@article{gina2025,
  title        = {{How to cultivate true customer loyalty: A human-centred approach for long-term growth}},
  author       = {Gina Michnowicz & Nalani Jay},
  journal      = {Journal of Digital & Social Media Marketing},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.69554/ffdo9887},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.