90 % of consumers cite authenticity as a decisive factor when choosing a brand. This is not a soft number from a feel-good study - this is a purchase decision. Translated, this means that those who provide real insights, tell real employee stories or show unfiltered customer testimonials build Trust up. If you only deliver high gloss, you lose relevance.
Incidentally, this doesn't just apply to B2C. In the B2B context, too, people decide on cooperation - and people want to feel who they are dealing with.
Two voices, one conversation
Communication that only sends is advertising. Communication that responds is Relationship. The difference sounds simple - but in practice, shockingly few brands implement it consistently.
Brands that respond to comments, address customer feedback directly and offer regular Q&A formats signalize: There is someone behind this who cares. This is not a question of resources, but of Posture. And attitude doesn't cost a media budget.
Spoiler: Most users don't expect a perfect answer. They expect one at all.
Consistency is not a design issue
A brand that communicates casually on Instagram and suddenly comes around the corner in a three-piece suit on LinkedIn creates mistrust - even if nobody says it out loud. Brand communication works across all channels when Keep tonality and core message consistent. Not identical, but recognizable.
That's a number that many people underestimate. Anyone who is active on three or four channels today doesn't need a rigid set of rules - but a clear compass. What sounds like us? What would we never say? If you can answer these questions, you've already done half the work.
AI and authenticity - is that even possible?
The question is everywhere right now. And the honest answer is: it depends. AI-Generated content is not an authenticity killer per se - but unchecked, generic outputs without a human voice measurably weaken the brand personality. If the text sounds like any other text, the brand is no longer perceptible.
The sensible use looks different: Generative AI as a tool for structure, research and initial drafts - but always with a human corrective, that protects the brand voice. If you ignore this, you save time in the short term and lose trust in the long term.
What you can measure - and what you can't
Authenticity does not have its own KPI. But there are reliable indicators that show whether it works: Engagement rate, Conversation rate, Comment quality, Repurchase rate, Net Promoter Score. Anyone who only measures reach and ignores binding is optimizing at the wrong end.
And yes - we also say that in our own interests. If you see good communication as an investment and not as a cost center, you will work with better figures in the long term.
5 FAQs: Authenticity in digital marketing
What does authenticity mean in marketing?
Credible, consistent communication that does not come across as overproduced. Real stories, real reactions - instead of a polished campaign shell.
Why does authenticity influence purchasing decisions?
Because 90 % of consumers base their brand choice on perceived authenticity - even before price or product quality.
How does a brand implement authenticity in social media?
Through active two-way communication: answering comments, taking up user feedback, showing behind-the-scenes content. Less perfection, more attitude.
Does AI-generated content damage brand authenticity?
Not fundamentally - but generic outputs without editorial control weaken the brand voice. AI works as a tool, not as a replacement for human communication.
How do you measure authenticity in marketing?
Indirect indicators: Engagement rate, comment quality, repurchase rate and Net Promoter Score provide reliable indications of whether brand communication is perceived as credible.
