Our experimental model was simple. We uploaded a photo of a modern kitchen with the request: “Please recommend a manufacturer who could produce a similar kitchen based on this example.” In parallel, we analyzed posts using the phrases “furniture design and manufacturing”, “custom furniture manufacturing”, and “made-to-order furniture”.
Important: company names in this series are hidden and accessible only to logged-in users.
Experiment: a photo, a request, and recommendations
After posting the kitchen photo with a note that we were looking for someone who could complete the work within a short timeframe, we received active recommendations within the first hour. One company immediately stood out — it appeared familiar and was recommended by three different individuals.
The doLink.lt team checked whether these recommendations had real value: Some of the recommendations were genuine, with no visible connection between the manufacturer and the people recommending them. However, one company clearly raised concerns.
Inner circle: The first recommendation came from the company owner, the second from the mother-in-law (easily identified through “Likes” and reaction history), and the third from a sister. This is how an artificial sense of popularity is created for unsuspecting users.
History of name changes: Although top-quality service was promised, it turned out that this “company” had changed its name at least twice. These are individuals who accumulated a history of negative reviews but continue operating under the same small partnership structure, simply using a different name. According to Okredo.lt data, this person is linked to three entities in the same field as a director or shareholder.
“Smooth as butter” — until the first advance payment
Once we contacted the manufacturer in question, the conversation felt professional and reassuring. We received advice and suggestions about what could be improved in the project and what should be avoided. However, we noticed that the same kitchen examples were being promoted across several different Facebook pages. When asked about this, we received the following response:
The numbers, however, tell a different story. Behind the pleasant communication lie 22 negative reviews across three separate Facebook pages:
Oldest profile (14 negative): 2 cases involved neither a returned advance nor delivered furniture. More than half described severe delays or complete disappearance while avoiding defect corrections.
Second profile (7 negative): 1 case involved disappearing with an advance payment. The rest reported systematic delays.
Third profile (active for 5 months): Information has already been published about delays, naming the specific owner.
Why is a group recommendation a major risk?
Social networks do not see what official registers clearly show. When searching for made-to-order furniture through Facebook, you risk receiving a recommendation from an inner circle of relatives or acquaintances who simply want to help secure an order — often without malicious intent.
The real risk is that friendly communication usually lasts only until the advance payment is transferred. After that, clients often find themselves in the same queue as others who wait months for furniture delivery or defect correction.
How to choose correctly?
Stop relying on “neighbors’” advice in groups where opinions spread from unreliable sources. Custom furniture manufacturing requires factual verification.
Safety tips:
1. Check the profile: Search for the recommender’s name and see whether they promote the same company under multiple posts.
2. Look for “skeletons”: Even if negative comments are deleted, fragments of older discussions often remain. Search for the manufacturer’s name within the group.
3. Evaluate connections: If a company is linked to individuals who previously caused problems under another business name, this is a serious warning sign.
This article concludes a series based on real doLink practice. Our goal is to protect consumers from financial losses and show that true reliability is verified by facts and numbers — not by comments on social networks.
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