Advanced data collection tools have seemingly made campaign reporting easier. Gone are the days when marketers and agents had to manually gather and organize data from several channels to present their clients with a comprehensible picture. Today, as long as you have the right tools, you can easily access your performance data with the click of a button. But what many fail to realize is that this ease has also raised the standards for what clients expect out of a campaign report. With this improved accessibility, the real competition is no longer about how much data you can gather and report, but rather what you can make out of these insights.

If you’re an account manager, you’ve likely experienced this: You present your clients with a comprehensive spreadsheet of all your performance data, from impressions to likes to engagement rates. But this data, no matter how impressive and thorough, rarely provides the information your clients are actually looking for. It isn’t enough to show them what to do next, nor can it convince them that their marketing investment is doing its job. Without actionable insights, these reports don’t provide anything of value that clients can use. So these naked spreadsheets, providing nothing but raw figures, will only get glazed over. This phenomenon perfectly illustrates why effective data interpretation and reporting cannot be achieved without the essential ‘human’ in the loop.

This piece aims to explore the changing scope of performance analysis and reporting. Highlighting the weight of the non-negotiable ‘human input’, this guide will demonstrate how account managers can transform ‘raw data’ into ‘performance insights’ and ‘actionable metrics’ their clients actually need.

Are You Reporting Data or Delivering Insights?

Recent technological advancements have made data collection easier, more intelligent, and essentially ubiquitous.

From completion rate to audience demographics, today’s technology lets you extract every tiny piece of performance data from your marketing output. But this accessibility also came with an unexpected side effect: the marketer’s abdication of duty.

Here’s how some performance reporting would play out: you outsource the data collection to an AI tool, export the findings into a spreadsheet, then present this sheet to your client and call it a day.

This isn’t a full-fledged performance report; it is merely a presentation of raw, unprocessed information. You wouldn’t expect people to merely read a book’s ‘Table of Contents’ without turning the page to grasp the storyline, would you?

When it comes to performance reports, raw findings such as “views dropped by 10%” or “engagement went up by 5%” are incomplete information. There is very little clients can get out of this report. Hence, this data must be backed by ‘insights’ to become actionable information.

While lazy reporting lets data analysis tools do all the work, smart reporting leverages their assistance to enhance its output, using it to lay the basis for a bigger story.

What Are Performance Insights?

While data provide the ‘what’, insights address the ‘why’ and the ‘how’. They are the missing pieces of information that turn empty data into useful findings.

Data tells you your views dropped by 10%; insight explains why this happened. Was the drop in views the result of a certain decision? Was there a change in visual direction, tone, or narration that could have caused this drop? While the former is the truth that informs these observations, you cannot paint a full picture without the latter.

Think of it this way: You’re a student who's turned in a paper for grading; your professor gives you back your paper with a big ‘B-’ written on it and nothing else. Wouldn’t you want to know what you got wrong and what you can do differently to get a better grade on your next assignment? Your clients view performance reports the same way. Receiving a naked spreadsheet that offers nothing but raw data is like receiving a grade without any feedback.

The Triumvirate of Truth: Conveying the Whole Story With Your Performance Reports

In today’s technology-driven marketing landscape, advanced tools can provide us with countless data points, showing us where and whom our marketing asset reached, how many users stopped to watch this content, and how these viewers engaged with it. Some campaign managers would sit back and let these tools take the reins, reporting the raw figures they provide as is, with zero input from their end. This is the easiest way to lose clients.

An effective performance report, on the other hand, takes the truth these data tools provide to extract deeper meaning and draw an actionable map.

This strategic reporting tactic is built on the three-truth trajectory: first you gather raw figures to learn the “what”; this information leads you to deeper performance insights that answer the “so what”; and finally, you arrive at practical foresights to map out the “now what”.

Rather than presenting data as the whole enchilada, this strategy treats it as the first touchpoint to tell a longer, more meaningful story.

Here are some illustrations to demonstrate how this works:

Addressing the Qualitative Layer

Now that we’ve established what a good performance report should look like, let’s move on to the how.

What can you do to extract these meaningful performance insights that make your reports complete? This is where the essential ‘human context’ comes in.

Extract Valuable Insights from the Comment Section

While advanced influencer analytics tools can extract just about any content performance data, the human brain is what puts this data into context. Even with the most advanced qualitative metrics such as sentiment analysis, which uses Natural Language Processing to detect emotional tone from textual data, you still need human interpretation to contextualize and truly understand these sentiments.

For instance, when sentiment analysis shows you that your campaign asset is receiving an alarmingly high negative sentiment from users, you’d have to go through the comments to interpret the ‘why’ behind these sentiments. Similarly, if a piece of content performs well, these reactions can inform you about that winning element driving its performance.

Take this promotional content Instagram influencer @corporatenatalie created for Quaker Oats, for instance.

This high-performing content has received several positive comments from users. But rather than stopping at qualifying these engagements as ‘positive’, you can read the comments to decipher which factors drove these positive sentiments, which in this case is the relatability and seamless storytelling.

Huda Beauty reposted Instagram user @sairaa.ayan’s post with on-screen text that reads: “POV: You’re one year postpartum, struggling to recognise yourself, but Huda Beauty reminds you of the girl you were before motherhood”.

The comment section under this post was flooded with emotional responses from mothers who resonated with this content.

These aren’t simple throwaway comments such as ‘love it’, or ‘wow!’; these are personal, high-quality engagements from users who are deeply touched by this content. This reveals how effective emotional marketing is on the brand’s target audience.

Analyze Content to Identify High-Performing Elements

Data-driven qualitative metrics will help you identify which content styles work, but human interpretation is what puts these quality scores to good use.

Take this creator’s ad for Google, for example. Data will show you that it accumulated 5.4M views, 58K likes, and hundreds of shares and comments. These metrics qualify it as good-quality content. But that’s only one piece of the puzzle. To answer the ‘why’ behind this performance, we have to analyze the content itself.

The reel starts off with a captivating visual hook and thumbnail, piquing users’ interest to prompt that initial click. It then follows up with engaging visuals and storytelling, which sustains the viewer’s interest.

If you were to run this reel through an automated analytics tool, you’d get metrics like engagement rate and completion rate, providing an overview of the viewers’ engagement journey, but watching and analyzing the content itself contextualizes these figures. This human analysis and contextualization is what transforms empty data into applicable performance insights.

The “Now What” Translation

Once you’ve interpreted raw data into meaningful insights, the next step is to work out what you can do with these insights. After all, information is only as useful as your ability to apply and leverage it.

The main objective of a proper qualitative analysis isn’t to simply ‘grade’ your output, but rather to inform your next step. This essential input is what separates a good-quality report from an inadequate and lazy one.

Data gives us the first truth – engagement rates went up, sentiments are mostly positive, views dropped, etc. Data interpretation translates these metrics into performance insights – engagement rates went up because of a powerful hook, sentiments are positive because users resonate with the message, views dropped because of a poor thumbnail choice, etc. This information equips us with the tools we need to complete the puzzle – the actionable strategies that advise our next course of action.

If we look at some of the cases we noted earlier, we find a wealth of information that can be leveraged to inform predictions and future strategies. For instance, Huda Beauty’s emotional marketing content generated dozens of deep, heartfelt responses from new mothers, revealing which topics strike a chord with its audience.

Leveraging this information, the brand can connect with its target demographic by tapping into topics such as the intersection of beauty, motherhood, and the postpartum journey.

Similarly, high-performing content with a winning hook and narrative style, such as Instagram user @amandarachlee’s campaign content for Google, provides useful elements to replicate in future creative briefs.

Contextual analysis of quality signals, such as user feedback and content elements, is necessary to translate passive data into actionable metrics. More directly, we see this interpretation in action through content styles such as the popular ‘you asked; we delivered’ format.

With this format, brands extract frequent requests from their comment sections to ‘deliver’ exactly what customers are asking for. In addition to leveraging feedback for practical product development and planning, this format also generates trust signals, establishing the brand as one that listens and cares. This tactic is a powerful demonstration of how brands are leveraging quality analysis to develop valuable strategies.

Deliver Actionable Reports with Influencity

Reports demonstrate the returns generated by your client’s influencer marketing investments, either in the form of quantifiable ROI or brand lift. But passive KPI reporting is no longer enough to sustain your clients’ attention. You can present the most comprehensive data, the most organized, most visually appealing spreadsheets and presentations, but if you have nothing but raw, unprocessed data to deliver, your report will still fall short.

Many account managers struggle to deliver satisfactory and engaging reports because they treat them as mere receipts for services rendered. By contrast, a more hands-on approach toward reporting does more than justify budgets; it leverages valuable performance insights to map out the blueprint for future campaigns.

Lay the Groundwork with Data Completeness

First things first, to turn passive truths into useful information, you need to access that data. Instead of relying on limited native insights, it’s always helpful to use an influencer marketing platform to pull extensive data.

Influencity, for example, offers comprehensive data collection and analytics features to access all the raw performance data you need. This wealth of information is vital for generating the ‘human insights’ that your report needs.