What Social Media Engagement Really Says About Buying Intent Likes and comments can reveal attention. They cannot, by themselves, explain whether attention is moving towards a sale. A post receives fifty comments and no enquiries. Another receives six saves, two website visits and one qualified consultation request. Which performed better? The answer depends on the job the content was meant to do - not on which number looks more flattering in a screenshot. Engagement measures visible interaction: reactions, comments, shares, saves, clicks or video activity. Buying intent is narrower. It concerns signals that somebody may be evaluating, comparing or preparing to act. Confusing the two makes busy content look commercially successful while quieter content does the actual work. Read engagement according to its distance from action A useful review separates signals into four levels. The point is not to declare one metric universally superior, but to understand what each signal can reasonably support. Attention signals: views, reach and lightweight reactions show that content entered somebody's awareness. They say little about commercial interest without further behaviour. Relevance signals: saves, meaningful comments, repeat viewing and shares suggest that the subject was useful or socially valuable. The motivation may still be educational rather than transactional. Evaluation signals: profile visits, service-page clicks, pricing-page visits, comparison questions and replies about fit place the person closer to a decision. Action signals: enquiries, bookings, sign-ups, purchases and qualified sales conversations connect content to an observable business outcome. A worked example: the popular post and the useful post Imagine a consultancy publishes a humorous post about clients requesting viral content. It earns broad engagement because the joke is familiar. The next post explains five signs that a business has a workflow problem rather than an idea problem. It reaches fewer people, but readers save it, visit the service page and submit two detailed enquiries. The first post may still be valuable for recognition and audience affinity. The second is stronger evidence of evaluation. A sensible content system keeps both, assigns each a purpose and refuses to grade them with the same scorecard. Otherwise the brand may optimise every post for applause and quietly remove the reasons anybody would buy. Connect platform signals to the customer journey Measurement improves when the business defines a primary action before publishing, adds consistent campaign parameters to links, records relevant website events and reviews assisted paths rather than only the final click. Google Analytics describes attribution as assigning credit to the different touchpoints along a person's path to an important action. [1] Its key-event reporting can show how credit changes across those touchpoints. [2] No attribution model produces perfect truth. Private sharing, cross-device behaviour and offline conversations leave gaps. The practical response is triangulation: combine platform metrics, website behaviour, enquiry quality and direct customer questions. Know when the problem is structural A small team can manage this independently when every post has a defined job, links are trackable and somebody reviews outcomes monthly. Consultation becomes useful when reporting celebrates engagement without agreed business objectives, channels use different definitions, or sales conversations cannot be traced back to the questions content addressed. Engagement is evidence of interaction, not a verdict on commercial value. Once each signal is interpreted according to its distance from action, the business can protect useful awareness while learning which content genuinely helps customers move.