What is word-of-mouth marketing? Types, examples and mistakes

Word-of-mouth marketing (WOM) builds trust when conversations about a brand stem from the real value of the product and customer experiences, rather than from a pushy message. In practice, it is not about “secret advertising”, but about consciously triggering recommendations where people are already asking for advice and opinions. If several independent people say the same thing across different channels, the audience perceives it as credible social proof. For this reason, it is worth understanding what sparks discussion, where it begins and how to distinguish genuine recommendations from artificially sounding “spam”. In this section, we show the mechanics of the whisper effect and how szeptanka differs from influencer marketing. This makes it easier to plan activities that support the brand rather than undermine its credibility.

What is word-of-mouth marketing and how does the whisper effect work?

Word-of-mouth marketing (word of mouth, WOM) is the deliberate initiating and sustaining of conversations about a brand so that recommendations sound like natural user opinions. The key is for the discussion to arise from real value (e.g. the product or service), rather than solely from promotional messaging. Users often ask outright “is this an advert?” — in practice it may be, but trust grows when the recommendation is rooted in experience. A well-thought-out szeptanka does not resemble a leaflet, but a helpful answer to a specific need.

The “whisper” effect works because people trust other people more than adverts and often make a decision after reading a few reviews or following a recommendation from someone they know. When 3–5 independent people in different places (e.g. Google Maps, a forum, a Facebook group) say something similar, the audience starts treating it as “social proof” rather than a brand message. Context also matters: the question “is it worth it?” is most easily “closed” by a concrete story that someone can pass on. WOM accelerates fastest when the customer experience itself provides fuel for conversation.

Conversations are sparked by triggers such as novelty (a launch), controversy, limited availability or a concrete benefit expressed in numbers (e.g. “-20% on the first order”). In practice, “micro-surprise” also works, for example a handwritten note in a parcel or proactive information about a delay before the customer has a chance to ask. The best szeptanka still starts “outside marketing”: from product quality, a clear offer and service that resolves the problem in one contact. It is precisely these details that users most often pass on, both online and offline.

Szeptanka arises offline, in recommendations at work, within the family or from service providers, and also online, in comments, reviews and forum threads, on Wykop, Reddit, in Facebook groups and in communities on Discord or Telegram. If the question is where to start, it is usually best to go where people are already asking for recommendations: Google reviews, marketplaces (e.g. Allegro), comparison sites (e.g. Ceneo) and thematic groups. Good szeptanka answers a specific question and shows context (“it worked for me after 3 weeks”), while bad szeptanka tends to be vague (“great company, recommend.”) and repetitive. A clear sign of “bad” szeptanka is also identical phrases and the same mistakes appearing in many places.

1. 01Deliberate initiatingStarting genuine conversations
2. 02Natural opinionsRecommendations that sound credible
3. 03Real valueBased on experience, not advertising
4. 04Whisper effectTrust in others influences decisions

Summary: People trust authentic recommendations from others more than adverts, which builds trust and influences purchasing decisions.

What are the differences between word-of-mouth marketing and influencer marketing?

Word-of-mouth marketing differs from influencer marketing in that it more often happens in natural discussions and 1:1 recommendations, rather than in a creator’s planned publication. Influencer marketing usually consists of materials created as part of an agreed collaboration (post, reel, story), often marked with #ad or #collaboration. In szeptanka, comments, threads, reviews and answers to users’ questions matter more, where fit with the situation counts (“which product for this problem?”). In short: influencer marketing is based on publication, while WOM is based on conversation.

The “proof” perceived by the audience is different too: in influencer marketing the source is the creator and their format, whereas in szeptanka credibility is strengthened by the convergence of opinions from many people in different places. That is why WOM works through the mechanism of 3–5 independent statements that sound like real experiences, not like a repeated brand message. In practice, this means szeptanka should contain context and specifics rather than an advertising slogan. The more an answer resembles genuine help (with real pros and limitations), the lower the risk of a “this is an advert” reaction.

The differences are also visible in the touchpoints: influencer marketing most often uses the creator’s channels, while word-of-mouth marketing appears where people talk and look for advice (forums, groups, reviews). In szeptanka, it is important not to enter the discussion with a ready-made slogan, but to respond like an expert: compare options, ask about needs and only then point to the brand as one of the possibilities. This approach reduces the impression of pushy selling and builds trust. At the same time, when activities are carried out as part of a collaboration, clear labelling of promotional content in line with platform rules becomes crucial.

What are the most effective word-of-mouth marketing channels?

The channels of word-of-mouth marketing that work best are those where users are genuinely asking for recommendations and checking reviews before buying. In practice, this usually means reviews and ratings (e.g. on Google Maps, Opineo, Ceneo, Trustpilot and in review modules in an online store such as Judge.me or Yotpo), discussions on forums and in groups, as well as 1:1 recommendations. The key is for the channel to match the audience’s intent: local services are searched for differently than B2B tools or subscription products. Results improve when comments relate to a specific service, problem and usage situation, rather than staying at the level of generalities.

• Customer reviews and opinions (Google Maps, Opineo, Ceneo, Trustpilot, store reviews) – the most common form of WOM, especially important at the purchase decision stage.
• Seeding on forums and in groups – starting threads and providing substantive answers where the discussion is actually taking place.
• Referral programmes – a recommendation mechanism based on benefits for the referrer and the new customer, which drives 1:1 conversations.
• UGC (user-generated content) – customer content such as unboxings, “how I use it”, video reviews and tests.
• Responding to reviews and customer service – public replies to reviews that others read before buying.
• Ambassadors, community and employee advocacy – recommendations from people credible in the niche (including employees in B2B) woven into natural conversations.
• Offline events and experiences (workshops, tastings, tests) – a source of stories that users later share online.

Channel selection should stem from where the persona actually asks “what should I choose?” and what the style of conversation is in a given community. In creator-led activity, micro- and nano-influencers often work well because they build trust and spark conversations in narrow groups, and the cost of a single publication is often in the range of PLN 500–3000. In the long term, ambassadors and communities play a major role, because they regularly “keep” the topic alive in comments and discussions. Regardless of the channel, service has a strong impact on the outcome: factual and prompt replies to reviews (positive and negative) are a clear signal of brand accountability for others.

1. 01Searching for recommendationsUsers ask for opinions
2. 02Key channelsReviews, forums, groups, 1:1 recommendations
3. 03Specifics and contextDescription of the service, problem, usage situation
4. 04Alignment with intentWhere the persona asks “what should I choose?”

The key is to match the channel to the audience’s intent and focus on specifics rather than generalities.

What are the best practices in planning and implementing word-of-mouth marketing?

Best practices begin with a clearly defined objective and KPIs, because word-of-mouth marketing makes sense only when you know exactly what is meant to change. Objectives can include, for example, increasing the number of reviews, boosting enquiries, improving reputation or supporting a product launch, while KPIs include, among other things, the number of mentions, the share of positive and negative ones, and the number of quality discussions. Measurement can also be helped by CTR from UTM links and by observing growth in on-site conversions after the campaign period (e.g. +10–20%). This makes it easier to distinguish mere “noise” from actions that genuinely strengthen sales and trust.

Implementation works best when you choose 3–5 priority channels and 5–10 supporting ones, based on personas and the places where your audience genuinely looks for advice. It is worth designing the message as a response to a specific problem rather than as a slogan: “what should I choose to…”, “why isn’t this working” or “how do I do this more cheaply/faster”. Where possible, it is a good idea to add proof and conditions: figures (e.g. delivery time 24–48h), parameters (e.g. SPF 50, 10% niacinamide) or return rules (e.g. 30 days), and also honestly indicate limitations. If you need “first conversations”, a test programme of 50–200 samples/items in exchange for a review (without forcing a positive one) can provide credible experiences, as long as the rules are clearly described.

Quality control and the safety of activities are based on monitoring, attribution and a conversation moderation process. Social listening uses tools such as Brand24, SentiOne, Talkwalker, Mention, and in a simpler version Google Alerts and manual searches. You monitor the brand name, spelling variants, products and problem phrases such as “[brand] complaint” or “[product] reviews”. Because WOM is difficult to attribute to a single source, in practice UTM tags, channel-specific discount codes (e.g. WYKOP10, FBGRUPA15) and dedicated landing pages are used, and the results are compared with the baseline period (e.g. direct traffic and brand interest). Operationally, you need clear rules: who responds, within what time (e.g. SLA 2–6 h), when to escalate to PR/lawyers and how to document threads. In reports, it is worth combining quantitative data with quotes and links to discussions so the team can respond specifically.

How do you measure the effectiveness of a word-of-mouth marketing campaign?

The effectiveness of a word-of-mouth marketing campaign is measured using a set of KPIs that combines the scale of conversations with their quality and impact on traffic and conversion. In practice, the number of mentions, the share of positive and negative ones, and the number of high-quality discussions are most often tracked, because these show whether WOM is really “working” to build trust. These are complemented by pure performance metrics, such as CTR from UTM links and the change in on-site conversion after the campaign period (e.g. +10–20%). The most important thing is that the KPIs stem from the objective: you will choose different metrics for “collecting opinions” and different ones for supporting a launch or rebuilding reputation.

• Conversation visibility: the number of mentions of the brand and products, and their momentum over time.
• Quality and reception: the share of positive/negative mentions and the number of high-quality discussions (with context and specifics).
• Traffic and user actions: CTR from UTM, conversions from dedicated landing pages, use of codes per channel.
• Effect in broader signals: growth in brand search in Google Trends and changes in direct traffic compared with the baseline period.

For monitoring mentions and sentiment, tools such as Brand24, SentiOne, Talkwalker or Mention are most often used, while the basic variant relies on Google Alerts and manual searches. It is worth tracking not only the brand name, but also spelling variants, product names, expert surnames and problem-related phrases (e.g. “[brand] complaint”, “[product] reviews”), because these usually surface risks and common objections fastest. Since WOM is difficult to attribute directly, UTM tags, per-channel discount codes (e.g. WYKOP10, FBGRUPA15) and dedicated landing pages are used, and the results are compared with the baseline period. If you want to check what delivers the best effect, run parallel tests of narratives and channels (e.g. two different codes in two communities) and monitor not only purchases, but also returns.

Reporting should answer the question “what came of it?” and indicate which threads worked, which objections kept coming back, and what is worth improving in the product or service. Good reports combine quantitative data (mentions, reach, sentiment) with qualitative quotes and links to specific discussions, so the team can base its responses on facts. In practice, it is the recurring questions and objections that become the roadmap for improvements, which later themselves drive favourable conversations. Such a “feedback loop” helps keep a consistent course and reduces the risk of actions that create noise but fail to deliver results.

1. 01Scale and sentimentNumber of mentions, share of opinions.
2. 02Quality of discussionsEngaging conversations, building trust.
3. 03Performance resultsCTR from UTM, conversion uplift.
4. 04KPI based on the objectiveMatched to the campaign objective.
5. 05Monitoring and toolsTracking mentions (e.g. Brand24).

The most important thing is to combine scale, quality and impact on conversion, with KPIs matched to the campaign objective.

What are the most common mistakes and risks associated with word-of-mouth marketing?

The most common mistakes and risks in word-of-mouth marketing stem from attempts to “take shortcuts” that undermine credibility and may end in a reputational crisis. Buying reviews (e.g. a package of 100 reviews for zł300–800) often ends in a loss of trust, post removals and sometimes escalation, because repetitive language, fresh accounts and unnatural posting pace are easy to spot, including by platform algorithms. Equally risky is not disclosing collaborations or “fake” recommendations in comments, which may breach platform rules and advertising law. If the activity is advertising in nature, it is safer to use clear disclosures (#ad, #advertisingmaterial, “paid collaboration”) than to hope that “nobody will notice”.

In day-to-day practice, being overly salesy and lacking context also does harm, because users quickly dismiss it with the phrase “it’s advertising” when they see a slogan instead of real help. Spamming links in many places ends in bans and lasting damage to reputation in communities, so it is better to focus on a smaller number of valuable replies than on mass “drops”. Ignoring negative reviews is a serious mistake. Recipients often read exactly the 1–2 worst reviews before buying, and failing to respond acts like a signal that “the company doesn’t care”. A good response should include specific actions, a deadline and a way to get in touch, rather than apologies without a solution.

Word-of-mouth marketing will also not hold up in the long term when the customer experience remains inconsistent, because conversations quickly turn into warnings about logistics, complaints or discrepancies between the description and reality. The risk also increases with poor segmentation and channel selection: promoting a premium product in communities focused solely on the lowest price can trigger a wave of criticism, even if the product is good. In the background there are also legal and regulatory risks: in Poland, the rules on unfair market practices, the obligation to clearly label advertising messages and platform policies on fake reviews are important. The safest “insurance policy” is often a short ethical policy (what we do not do, how we label collaborations and how we respond to criticism) plus regular audits of conversations and factual consistency.

What examples of word-of-mouth marketing applications can be found in different industries?

Examples of word-of-mouth marketing in different sectors are usually based on opinions, recommendations within communities and experiences that customers want to pass on. In local services (e.g. a restaurant or salon), a tried-and-tested scenario is asking for a Google review straight after the visit, for example via a QR code on the receipt, and then responding to every review within 24 hours. Such WOM can work even without ads, because it strengthens visibility in Google Maps and the number of phone calls. In practice, the threshold of credible reviews also matters: +100 in 2–3 months can boost visibility, especially with a rating of 4.6+.

In e-commerce, WOM usually “works” on product pages, in customer content and in Q&A sections, where buyers look for confirmation before making a decision. For example, a supplement store may collect reviews after 14 days (first impression) and after 45 days (effect), which means answers appear to real questions about performance and tolerance. This approach helps build evidence material in users’ language, rather than advertising language. The best examples of WOM in online retail are based on “moments of truth” after purchase, when the customer already has concrete experience to describe.

In B2B and SaaS, word-of-mouth marketing often happens in closed communities and takes the form of recommendations along the lines of “who implemented it and does it work?”. For example, a helpdesk tool may launch a referral programme for partners (e.g. 10% commission for 12 months) and at the same time publish a case study with figures, such as reducing response time from 12 h to 3 h. Such a combination (recommendation + concrete results) makes it easier for decision-makers to have conversations and reduces the risk that the message will be seen as an empty slogan.

At a product launch, word of mouth most often follows a sequence: teaser, beta tests, first reviews, and only then wider distribution. For example, a cosmetics brand may send 150 tester sets to people with a specific problem (e.g. pigmentation spots), asking them to keep a diary of changes for 28 days and publish their conclusions, including critical ones. As a result, conversations are not based on the brand’s statements, but on user experiences that can be compared. Such a scenario sparks curiosity and at the same time strengthens credibility, because it allows for different outcomes.

In sensitive sectors such as medical topics, safer forms of WOM are based on education rather than health promises. For example, a physiotherapy practice may share knowledge in local groups (“how to recognise overuse”), while patients themselves describe their experiences with therapy and the diagnostic approach. This direction reduces the risk that recommendations will be perceived as claims of “cure”, while also allowing people to share what they found genuinely helpful.

In employer branding, word of mouth is primarily opinions about work and conversations along the lines of “what is it really like to work there?” on GoWork, LinkedIn and behind the scenes. For example, an IT company may cut negative noise by publishing transparent salary ranges and describing the recruitment process (time, stages), and then encourage new employees to share their impressions from the first 90 days of work. In reputation after a crisis, meanwhile, people look for proof of improvement: a brand can publicly describe a change to quality control (e.g. an additional test on 100% of batches instead of sampling) and show real cases of goods being replaced within 48 h. This shifts the conversation from “is it nice?” to “has the company taken responsibility and can it be trusted?”.

On marketplaces (e.g. Allegro) and comparison sites (e.g. Ceneo), word of mouth comes down to seller ratings and comments about delivery and product conformity with the description. For example, a seller may reduce the number of negatives by sending an automatic status notification and asking customers to get in touch before leaving a rating, while at the same time collecting reviews on Ceneo for bestsellers with the highest margin. In a subscription model, WOM depends on whether the customer has a reason to talk every month, not just once after purchase: a coffee box may add a “flavour profile + brewing” card, and in the app offer a feature for sharing settings (e.g. 18 g, 36 g, 28 s), which drives discussions in barista communities.