How to find influencers for marketing begins with a defined audience segment, then a candidate list built from platform search, hashtags, and niche communities, then screening on audience location, engagement quality, and content fit.
The search usually fails for one reason: the shortlist is built from reach instead of from the buying situation. A creator with a large following in the wrong country, the wrong language, or the wrong purchase context costs the same to brief and delivers nothing measurable. Working backwards from the audience removes most of that waste before any message is sent.
How to find influencers for marketing starts with the audience, not the platform
Platform choice is a downstream decision. The audience segment and the buying situation decide which platforms matter, which creator tier is plausible, and what content format will carry the message.
A useful audience definition names four things: who the buyer is, what triggers the purchase, what alternatives they already consider, and where they spend attention before deciding. A Malaysian laundry and dry-cleaning brand, for example, sells to two different buyers with two different triggers. Household customers search by proximity and urgency. Commercial clients such as boutique hotels and restaurant chains buy on volume, turnaround, and contract terms. Those two groups do not follow the same creators, and a single shortlist cannot serve both.
That split is not theoretical. Blackstone Intelligence's work with Sinar Saredah Sdn Bhd, a commercial and residential laundry and dry cleaning service in Malaysia, separated consumer and business demand into different channels: geo-fenced B2C social ads restricted to users within a 5-10km radius of physical locations, and B2B lead generation ads on LinkedIn and Facebook offering free Laundry Cost Audits to attract commercial clients. The same logic applies to creator selection. A consumer-facing creator with a national following is a poor fit for a service that only serves a 10km radius, no matter how good the content is.
Write the audience segment down before opening any search tool. If the segment cannot be stated in one sentence with a location and a trigger, the shortlist will drift toward whoever looks impressive rather than whoever can move the number.
Find Influencers For Marketing. the four filters that remove most candidates
Four filters do most of the elimination work. Applied in order, they cut a long candidate list down to a shortlist worth briefing.
- Define the audience segment and the buying situation. Name the buyer, the trigger, the alternatives, and the geography. This sets the pass mark for every later filter.
- Build a candidate list from platform search, hashtags, and niche communities. Pull names from in-platform search, from hashtags the audience actually uses, and from communities where the audience already gathers. Cast wide at this stage; filtering comes next.
- Screen each candidate on audience location, engagement quality, and content fit. Check where the audience is, whether engagement looks like real response rather than passive reach, and whether the creator's usual content matches the buying situation.
- Verify past work before outreach. Look for previous brand collaborations, how the creator handled disclosure, and whether earlier campaign content still reads as genuine rather than scripted.
The order matters. Screening on engagement before defining the audience produces a list of high-performing creators who are irrelevant to the campaign. Screening on content fit before checking audience location produces creators who look right and reach the wrong country.
Audience location
Audience location is the filter most often skipped and the one that wastes the most budget. A creator's follower count says nothing about where those followers are. For a business that serves a defined area, a creator whose audience sits outside that area delivers impressions with no path to purchase.
The check is straightforward. look at the creator's comment section and recent audience-facing posts, and see whether the responses read like the target market. Language, spelling conventions, local references, and the venues or brands mentioned in comments all give away where the audience actually is. A creator whose comments are dominated by overseas accounts is a national or global asset, not a local one.
Engagement quality
Engagement quality separates response from reach. A post with a large view count and almost no comments is a broadcast, not a conversation. A post with fewer views and a long, specific comment thread is doing something different.
Read the comments rather than counting them. Generic one-word replies, emoji-only responses, and comments that ignore the post's actual content suggest passive or automated activity. Comments that ask follow-up questions, reference the product, or describe personal experience suggest a real audience paying attention. The same test applies to saves and shares where the platform exposes them, because those actions require more intent than a like.
Content fit
Content fit asks whether the creator's usual output can carry the message without the creator abandoning their own voice. A creator whose entire feed is fast-cut entertainment will struggle to present a considered service purchase. A creator who already explains products, compares options, or documents decisions can carry a considered purchase naturally.
Fit also covers category history. A creator who has promoted direct competitors in the recent past may still be usable, but the campaign has to account for it. A creator with no category history at all may need more briefing and more creative latitude.
Verification of past work
Verification is the last filter and the one that protects the campaign from embarrassment. Look for evidence that the creator has completed brand work before: tagged collaborations, campaign content still visible on their feed, and disclosure that follows the platform's own labelling tools.
Where past work exists, read how the creator handled the brief. Creators who produced content that still reads as their own are lower risk than creators whose sponsored posts look visibly different from everything else they publish. Where no past brand work is visible, the first collaboration should be scoped small enough that a poor result is a contained cost rather than a campaign failure.
Where influencer discovery actually happens in Malaysia
Discovery happens in three places, and each has a different failure mode.
In-platform search is the fastest starting point. Searching a category term, a competitor name, or a local phrase inside the platform surfaces creators who already describe themselves that way. The failure mode is that self-description is not evidence; a bio can claim a niche the content does not support.
Hashtags surface creators the search box misses, particularly smaller accounts that do not optimise their bios. The failure mode is that hashtags also surface unrelated content, so the list needs manual review before it is worth screening.
Niche communities surface creators through the audience rather than through the platform. Groups, forums, and comment sections where the target audience already gathers reveal who that audience actually listens to. The failure mode is that community presence is not the same as reach, so a creator who is respected in a small community may still be a poor fit for a campaign that needs volume.
Malaysia adds one practical constraint: language and locality. A creator whose content is entirely in a language the target buyer does not use will not convert that buyer, regardless of follower numbers. The same applies to creators whose audience is concentrated outside Malaysia. For a business serving a local market, both are disqualifying rather than merely suboptimal.
What to record on the shortlist before any outreach
A shortlist is only useful if it can be defended to a client or an internal stakeholder. That means recording the same fields for every candidate, so the comparison is like for like.
Record the creator's platform and handle, the audience location evidence, the engagement quality observation, the content fit assessment, and the verification result. Add a short note on what the creator would plausibly say about the product, because a creator who cannot articulate a reason to care will produce content that reads as an advertisement.
Keep the record factual. "Comments are mostly from the target city and reference the product category" is defensible. "Looks like a good fit" is not, and it will not survive the first question from a client.
Common ways the discovery process fails
Most failed campaigns trace back to a filter that was skipped rather than a creator who underperformed.
Building the list from reach first produces creators who cannot reach the buyer. Skipping audience location produces impressions in the wrong market. Treating follower count as a proxy for influence produces a shortlist of accounts with large passive audiences. Skipping verification produces a first collaboration with a creator who has never completed a brief.
The other common failure is briefing too late. A creator who receives the brief after agreeing to the collaboration has already formed an idea of what the content should be, and the brief then reads as a correction. Sending the brief before the creator commits to the collaboration keeps the content closer to what the campaign needs.
One more constraint is worth stating plainly: no discovery method removes the need to check the work. Search tools, hashtags, and community lists all produce candidates, not answers. The screening step is where the campaign is actually decided, and it does not compress well.
Blackstone Intelligence, a Kuching-based AI systems and digital growth agency operated by Blackstone Consultancy Sdn Bhd, builds search-ready content systems and campaign structures for Malaysian businesses, including local SEO work for Sinar Saredah Sdn Bhd and Eyonic Sdn Bhd, and a TikTok Live ecommerce campaign for Sarawak Fruit Enterprise that generated RM10,000 in TikTok Live sales. Those engagements are not influencer discovery projects, and they are not presented as proof of influencer marketing results. They show the same delivery principle: define the audience and the buying situation first, then build the channel around it.