There are two basic and complementary approaches to measuring success when it comes to social posts:
- Qualitatively, or a measure of sentiment (how people feel about your company/brand, essentially). Things like feedback, replies and questions, along with the content of quote tweets, mentions, and DMs.
- Quantitatively, or a measure of growth. Things like engagement, impressions, reach, shares, conversions, followers, and referrals.
For most founders, the value of quantitative data is obvious — like a set of product metrics, it’s easy to measure audience growth, shares, and likes. Qualitative feedback, on the other hand, is tougher to gauge; but it’s one of the best measures for how people (and, importantly, which people) are connecting with a brand.
So to start, let’s look at a few very basic measures for quantitative data…
Quantitative data
When people are just getting started with their social strategy, basic tools like in-app analytics (Twitter Analytics, LinkedIn Analytics, etc.) will give them all the data that they need. Specialized tools like Sprout Social and HubSpot can be useful for scheduling posts, but they’re probably overkill in terms of advanced analytics. No matter what tools a team chooses, here are few key metrics to start:
Engagement
Engagement is usually going to be the most important qualitative metric at your disposal. Increasing engagement can increase impressions, or how often users see a piece of content. Increasing impressions can also increase profile visits, grow follower count, and more.
Most analytics tools — in-app analytics included — will provide some formula to quantify engagement based on post interactions (generally, a rate expressed as Total Interactions / Total Followers or Impressions x 100), but this can vary from platform to platform. The exact formula often matters much less than using a consistent baseline, and not mixing methodologies.
One good use for in-app analytic tools is to look at the best and worst performing posts in reverse chronological order over the last 30 or 60 days and try to unpack what made them rise or sink.
Teams may find that memes may do really well (or really poorly!), or links to blog posts don’t get clicks, or that certain topics drive or cool engagement. Track these things over time to get a better and better understanding of what audiences expect from a given channel.
On a weekly basis it’s a good idea to also track metrics like total shares, responses, reposts etc. No need to get super granular on the exact numbers — what matters more is how things are trending over time. If numbers are consistently going up, for example, more people are seeing an account’s content, increasing its reach, and exposing it to more potential followers.
Conversions
Assuming teams have a product in the market, another key statistic to track is conversions, which is the number of people who clicked on a social post to a product’s website, newsletter, podcast, and so on.
Teams can also track conversions from organic posts (as opposed to paid ads) from click to sign up or purchase using Google Analytics, UTM links, and other tools. But this level of detail is often a nice-to-have vs a necessity in the early days.
Audience
Even more important than tracking total followers is understanding what content is driving spikes in followers. If certain kinds of posts reliably increase a given audience, that’s a hugely valuable thing to know. And as mentioned earlier, it’s a good idea to track top-performing and bottom-performing posts — and trying to understand what made a post a hit or a flop.
A growing follower count is a good indication that an account is reaching more people, but it doesn’t offer much insight into whether that account is reaching the right people. This is where qualitative data comes in.
Qualitative data
Don’t overlook qualitative data. In fact, it can be more helpful to spend time thinking about qualitative social information than quantitative data, although this is a tough mindset for some data-driven founders to embrace.
As an example, countless businesses rely on the power of “influencers” to spread the word. A share from someone with a vast network and trusted brand is often more powerful than hundreds of shares from smaller accounts. Just as reaching a higher quality lead can move the needle more dramatically than reaching someone who has no use for a startup’s product. When looking at follower growth, it’s just as important (and maybe more so) to ask “Are we reaching the right people” as it is to ask “Are we reaching more people.”
The tricky thing about drawing actionable information from qualitative data is that it’s more art than science. The best way to do this is manually, at least at first — there are lots of different sentiment tools out there, but this analysis is by no means exact. The goal is to tease out themes in inbound messages and DMs, paying particular attention to the words people are consistently using, and whether they’re positive, negative, or neutral. And then keep track of this over time.
All of this material helps companies get a sense of how people feel about them — crucial information for making improvements in customer service, identifying gaps in product offerings, and even finding product-market fit.
Qualitative 🤝 quantitative
Every measurement strategy should look at performance from multiple angles. This is because leaning too much on one metric over another can distort your view on how posts are performing. It can also create incentives that are damaging to social strategies over the long term. A familiar example of this is a hyper-focus on views and impressions. The posts that get the most views and impressions (clickbait, if you will) are not necessarily good for building a beloved, or trustworthy brand.
Instead, focus on a more diverse portfolio of metrics. Teams who are new to this don’t need to start out measuring everything, but should pair qualitative performance with one that measures volume more broadly (like impressions) and one that measures quality (like engagement and clicks). This very basic framework can provide a more accurate picture of how posts are performing.
The challenge of silent supporters
One of the biggest challenges when getting an accurate read on sentiment is the rise of “silent supporters,” who read a startup’s content without leaving a comment or like. Some people consume tons of content but don’t actually engage in the feed for a variety of reasons; for example, to avoid posting a public reaction on platforms like LinkedIn.
Don’t be deterred by missing pieces — content creators can try out a few different approaches that can encourage interaction and help complete the puzzle.
- Start conversations: Have conversations with people who are (and are not) engaging with your content and ask for feedback to replicate what’s working, and discard what’s not.
- Host events: Host virtual or in-person events to deepen the relationship with an audience (content creators may find that their followers become more publicly supportive after attending an event)
- Focus on community management: Try engaging in more outbound community management (for example, interacting with 5 different followers per day)
- Test out different kinds of posts: Sometimes people are supportive, but just don’t enjoy consuming the content format. Experiment with videos vs. photos, short-form vs. long-form, and more. Or bring in new ways to engage, like polls, questions, and AMAs.
- Don’t be discouraged: Social media success comes in many different forms, including leads, email subscribers, brand sentiment, 1v1 relationship building, product feedback loops, and more. Just because you’re not seeing the engagement you want doesn’t mean you aren’t making an impact with your social media efforts.
As people become more inundated with social media, it’s up to creators to find different ways of measuring their impact (as well as coming up with ideas to keep audiences engaged along the way).