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Planable
Manage your socials as a team
Planable is the best client-facing social media tool we've ever used and we've used a lot.
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Approval
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Social Listening
listen, discover, and act
You're managing eight clients. Each has three to five social channels. You post three times a week per channel. That's between 72 and 120 pieces of content per month, just for one person to track, write, review, approve, and schedule. Now add a second client. And a...
Sep 23, 2026
Social media monitoring looks healthy on your dashboard. Meanwhile a complaint about your client’s product is three days old, sitting in a Reddit thread that never tagged the handle your team watches. Your client will probably find it before you do.
Monitoring only the handle misses that thread, and every one like it. This guide covers what’s worth tracking and how the routine runs across 5 to 10 client workspaces. It ends with criteria for choosing an approach, and what the data costs.
Social media monitoring is tracking brand-directed mentions and keyword matches across social platforms, forums, and review sites, so your team can respond to each one.
A social media monitoring system runs three steps in sequence. It collects posts matching your keywords and labels each mention by sentiment and urgency. Whatever needs an answer goes to the person who replies. It has to watch Facebook, Instagram, X, TikTok, LinkedIn, and YouTube, plus Reddit, where 26% of US adults now spend time, according to Pew Research Center.
Your keyword list is the whole aperture: the feed only ever sees what your terms and your connected channels can reach. Channel coverage decides what a setup can physically see.
Pew’s survey of 5,022 US adults puts platform use at:
A setup that watches Facebook and Instagram but skips Reddit leaves roughly one in four US adults talking somewhere your feed can’t see.
Classification is what turns a feed into a queue. Sentiment labels tell you which mentions can wait. Priority and ownership tell you which client account a mention belongs to and who on your team answers it. A monitoring setup that collects well and routes badly produces a dashboard nobody acts on.
Social media monitoring matters because it helps teams catch customer issues before they become reputation problems, respond while purchase intent is still active, and learn from competitors’ campaigns and customer feedback.
Respondology’s 2026 Business of Comments Report, based on an analysis of 169 million comments, found that 97% of brand social media comments go unanswered. The report also says 68% of buyers read comments before making a purchase decision.
For agencies managing multiple client accounts, those unanswered comments create three practical risks.
A complaint that sits unanswered for a day is no longer just a support issue. It becomes part of the public record beneath a client’s content, where other prospective customers can see both the complaint and the brand’s lack of response.
That matters because comment sections can influence people beyond the original commenter. According to Respondology’s report, 68% of buyers read comments before making a purchase decision. An unanswered complaint can therefore remain visible to prospective customers long after the person who posted it has moved on.
Erik Swain, CEO and co-founder of Respondology, describes the risk this way:
“When comments go unanswered, the demand goes cold, the silence is visible to every potential customer scrolling the thread, and the conversion opportunity disappears.”
Erik Swain runs a comment-moderation company, so weigh the framing accordingly. The more decision-useful finding for teams is the reported share of buyers who read comments before purchasing, because it shows why public comment threads matter beyond customer support.
The longer a negative conversation goes unnoticed, the harder it becomes to manage.
If an angry thread remains active for three days before anyone on the team sees it, the task may have shifted from answering a customer question to managing a visible reputation issue. Faster social media monitoring gives the team a chance to identify complaints, questions, or unusual spikes in activity while the conversation is still developing.
This becomes more important for an agency when the client roster grows. A single unwatched evening or weekend can leave several client accounts with unanswered conversations that need attention at the same time.
Monitoring is not only about finding problems on client accounts. Teams can also track what competitors publish and, just as importantly, how audiences respond underneath those posts.
Competitor monitoring can reveal:
That context makes competitive reporting more useful. Instead of telling a client only how last month’s reach changed, an agency can compare its results with observable competitor activity and explain what audiences appear to be responding to.
Competitor comment sections are public sources of customer feedback. Systematically monitoring them turns information that is already available into usable research for campaign planning, messaging, and client reporting.
Monitoring splits into three jobs, each with its own surface. The owned surface is the comments and DMs on accounts you control. The open-web surface is everything said about a brand that never tags it. The competitive surface is what competitors publish.
Most monitoring setups cover the owned surface and stop there, which holds up until a client’s conversation moves off their own posts.
Owned-channel monitoring means working through the comments and DMs that land on accounts you control. It is the part of social media monitoring with the shortest response window.
Planable’s Social Inbox brings comments from Facebook, Instagram, LinkedIn, and TikTok into one queue, along with Facebook and Instagram DMs. It is a paid add-on, and DMs from platforms such as LinkedIn still need to be handled in the native inbox.
Planable Social Inbox for managing DMs and comments
Open-web monitoring means finding brand mentions by keyword rather than waiting for someone to tag the account. That could be a Reddit thread naming a client’s product, a review on an external site, or a social post that uses the brand name without an @mention.
Those conversations do not appear in normal account notifications. Misspellings and other variations can make them even easier to miss.
There is no reliable public figure for how much brand conversation goes untagged. The percentage often cited in this category traces back to an older response-rate experiment, so coverage is the more useful question: if a monitoring setup only watches account tags, it cannot show what happened outside them.
Planable’s Social Listening adds keyword-based monitoring across Facebook, Instagram, LinkedIn, TikTok, X, YouTube, Reddit, and web sources such as blogs, news sites, forums, and newsletters. Mentions are classified by sentiment, and alerts can be sent in-app, by email, or through Slack.
Planable brand monitoring report with mentions, engagement, and sentiment
Each workspace includes one brand keyword, three topic keywords, and three competitor keywords, with a 30-day mention history. The add-on costs $99 per workspace per month and can be enabled only for clients that need it.
The trade-off is depth. It does not provide the multi-year history or enterprise-scale query volume of a platform such as Brandwatch, so it fits ongoing brand monitoring better than large historical research projects.
Competitor monitoring works on a slower clock because nothing on a competitor’s feed requires an immediate response. Its value is in spotting patterns: how often competitors publish, which formats they repeat, and which posts generate the strongest response.
Compared with your own performance, those patterns provide useful context for a social media competitor analysis instead of leaving a client with reach and engagement numbers in isolation.
Planable’s Competitor Analytics compares up to five competitor pages per platform across Instagram, Facebook, LinkedIn, TikTok, and YouTube. It tracks metrics such as followers, posting activity, engagement, and top-performing posts alongside your own results.
Planable competitor benchmark chart
The data refreshes daily, requires at least two days of snapshots before trend charts appear, and is available through the Analytics add-on. X still needs to be checked manually.
Social Listening covers the other side of competitor monitoring: what people say about those competitors. Used together, publishing data and keyword mentions show both what competitors are doing and how audiences are reacting to it.
Brand monitoring on social media starts with two things: a short list of terms worth tracking and one named person responsible for reviewing and responding to what comes back. Set both before choosing a monitoring tool.
Terms without an owner produce a feed nobody reads. An owner without the right terms only sees the conversations that directly tag the brand.
Five types of terms cover most brands from day one:
Pro tip: Write the list down before opening a monitoring tool. Most tools limit how many terms you can track, so deciding what matters most should happen before setup.
Start narrow. A small set of specific terms produces a more manageable feed than dozens of broad keywords that generate irrelevant mentions.
Comments and DMs on your own accounts are one monitoring queue. Brand mentions elsewhere are another.
Owned-channel monitoring covers conversations directed at accounts you control, including comments, replies, and direct messages. Open-web monitoring looks for mentions based on keywords, even when nobody tags the brand directly.
Treating them separately makes coverage gaps easier to spot. A team that watches only notifications can miss untagged brand mentions, while a team focused only on keyword monitoring can overlook customer messages waiting in native inboxes.
Decide how often each monitoring queue needs to be checked based on how quickly the conversation requires a response.
Direct comments, customer questions, and complaints generally need more frequent review because delays are visible to other users. Broader topic, competitor, and category monitoring can usually run on a slower cadence because the goal is pattern detection rather than immediate response.
The important part is consistency. A monitoring setup only works if someone checks it often enough to act on what it finds.
Give each client or brand one named monitoring owner and one written escalation rule.
Define what that person can answer directly and what should be sent to an account lead, customer support team, legal contact, or another stakeholder.
Among D2C brands, 4% to 6% of comments show direct buying intent and convert at 11% when the brand replies, according to Respondology’s 2026 Business of Comments Report. A clear triage process helps the team identify which conversations need attention first.
Once a month, look beyond the terms already being tracked.
Check product nicknames, common misspellings, campaign language, category discussions, and communities where people talk about the problem your product solves without necessarily naming the brand.
This review helps uncover vocabulary your original setup did not anticipate. Any recurring term or conversation worth following can then be added to the next monitoring cycle.
Only 13.54% of social media professionals use AI for social listening and trend monitoring, according to HubSpot’s 2026 Social Media Marketing Report, so manual review still plays an important role in finding the conversations automated monitoring may miss.
The goal is not to track every possible term. It is to maintain a focused monitoring setup that catches the conversations most likely to require a response or reveal something useful about customers, competitors, and the market.
No single social media monitoring tool works best for every team. Five criteria settle the choice, and channel coverage rules out more options than price does: no vendor reaches every platform, and the platforms that charge for data access set the floor on what any tool can afford to cover.
Run the coverage list against each client account separately.
A hospitality client’s conversation sits on review sites and Reddit; a B2B client’s sits on LinkedIn and X, and a tool that covers four platforms well still misses the one where the complaint landed.
Ask which sources the tier you’d actually buy includes, since lower plans drop open-web sources first.
Refresh cadence varies by source and by plan, from continuous polling on owned channels to weekly syncs on keyword feeds.
A daily refresh suits reputation tracking but not a same-day complaint.
Ask how far the archive goes on the tier you’re pricing, since that’s where vendors draw the line.
A 30-day window covers month-over-month reporting; anything older means exporting before mentions roll off.
Social media monitoring can cost from $0 for manual checks and native inboxes to more than $1,000 per month for enterprise listening platforms. Mid-range tools typically charge based on workspaces, keywords, mention volume, users, or data access.
For agencies, the real cost depends on how many clients need monitoring, how many brands and competitors are tracked, which platforms are covered, and whether features such as sentiment analysis, alerts, historical data, and reporting are included.
The key is to match the level of monitoring to the client instead of paying for enterprise-level coverage across the entire roster.
Social media monitoring is limited by the data it can access and the accuracy of the models interpreting it. It can surface useful signals, but it cannot capture every conversation or reliably understand every mention without human review.
Sentiment analysis labels mentions as positive, negative, or neutral, but those labels are estimates.
Sarcasm, jokes, and context are common failure points. As the authors note, misinterpreting sarcasm can lead to incorrect sentiment conclusions.
Pro tip: Use sentiment scores to spot patterns, not as a substitute for reading the underlying mentions. Spot-check the posts before using sentiment data in a social media sentiment analysis or client report.
No monitoring tool sees every online conversation. Coverage depends on what each platform makes available through its APIs and other data-access methods, while private groups, closed communities, and most direct messages remain outside normal social listening.
That makes source coverage more important than a tool’s headline feature list. Check whether it monitors the networks, forums, review sites, and web sources where your client’s audience actually talks before assuming the feed represents the full conversation.
A monitoring feed only shows the conversations it was able to find. It cannot capture discussion happening in places it cannot access, such as private messaging apps, closed communities, or offline channels.
It also does not remove the need for someone to review and interpret the results. Tools can collect mentions, flag sentiment, and surface changes in volume, but a person still has to decide what matters, what needs a response, and what belongs in a client report.
Social media monitoring tools are software that collects posts matching your brand terms, then routes each mention to whoever owns the reply. Most also apply a sentiment label and track mention volume over time. Monitoring and listening features now ship inside the same products, so channel coverage separates tools more than the label does.
Track the metrics that tell you whether a conversation needs attention: mention volume, sentiment changes, response time, recurring complaints, and competitor activity. For agencies, the useful signal is not the raw number of mentions but what changed, why it changed, and whether the client needs to respond.
Yes, if the tool supports keyword-based listening rather than relying only on @mentions. Planable can surface posts that mention a brand, product, topic, or competitor without tagging the account, which helps catch conversations that would never appear in the client’s notifications.
Usually, yes, but they may not need a dedicated enterprise listening platform. A small business can start by monitoring comments, DMs, brand-name mentions, and a few competitor or category terms, then add a paid listening tool once the volume becomes too high to check manually.
If you run one brand on owned channels, start with the comments and DMs queue this week and add one brand keyword. If you run 5 to 10 client workspaces, decide who owns triage for each client before you buy anything, because no tool decides that for you.
Brand conversation keeps moving into forums, review sites, and the AI assistants that summarize them, so the surface a monitoring program covers keeps widening.
For the open-web half, Planable’s Social Listening is a paid beta add-on: give it your brand name and read what comes back from X, YouTube, Reddit, and TikTok. Give it a try!
George is Senior Content Marketing Manager at Planable, where he's rebuilding the content function around AI. His automation workflows handle research, competitor tracking, reporting and first drafts, with brand-voice guardrails and a human approval step on every output. He also tracks how Planable shows up in ChatGPT, Perplexity and other AI answers. He has 8+ years in social media, brand building, graphic design, including social and influencer strategy for Planable, Brico Depot Romania and Ivatherm. That's the hands-on experience behind his writing on social media workflows, managing multiple accounts and agency operations.
