Loren is an experienced marketing professional who translates data and insights using Isentia solutions into trends and research, bringing clients closer to the benefits of audience intelligence. Loren thrives on introducing the groundbreaking ways in which data and insights can help a brand or organisation, enabling them to exceed their strategic objectives and goals.
There’s something appealing about one score having so much meaning behind it. A Net Promoter Score (NPS) program is the leading indicator of growth for a business and can be based on a single question: How likely are you to recommend our company/product/service to a friend or colleague?
In this post we are taking a step further by exploring how a combined NPS and media data analysis can give your business a holistic view of the overall sentiment towards your organisation.
Aside from its ease to implement, its appeal is two fold - it’s attractive for the user to answer one question and it's easy for the business to calculate and measure the results.
As Frederick F. Reichheld wrote in his Harvard Business Review, titled ‘The one number you need to grow’ having a useful metric to measure customer loyalty is a good indicator of business growth. The path to sustainable, profitable growth begins with creating more promoters and fewer detractors and making your net-promoter number transparent throughout your business. Obtaining feedback is key to success for a customer centric business. Interestingly, statistics show every hour spent calling detractors generates more than $1000 in revenue. Businesses have leveraged NPS in boosting sales: with sales increasing by 20% when converting a detractor to a passive, and by 26% when converting a passive to a promoter.
Understanding the Net Promoter Score
An NPS score is calculated by subtracting the percentage of detractors from the percentage of promoters. This score can then be compared to that of similar businesses as a reliable benchmark.
“Promoter” customers are enthusiastic and loyal, who will continue to buy from the business and ‘promote’ your business to others. With your promoters, tailor your marketing efforts and send them specialised promotions to continue their loyalty.
“Passive” customers are happy but can easily be tempted to leave by an attractive competitor deal. Passive customers have the ability to become promoters if your products, service their customer experience are improved.
“Detractor” customers are unhappy with your product, service or customer experience, they will either cancel their dealings with you or reduce the amount they purchase from you. With the information and feedback provided by this group of people, not only use it to try to win them back as a customer, but also use it to identify and empower your biggest promoters.
5 benefits of NPS
It's reputation
NPS is a good measure of customer satisfaction for reasons such as simplicity, executive understanding or availability of external benchmarks.
2. Known as a good indicator of business growth
Each response on an NPS survey indicates either loyalty and expansion in the future or the risk of churn. A customer who responds with a 4 is at a much higher risk of cancelling than a customer who responds with an 8. If a risk percentage is assigned to each number, the impact on future growth and churn can be predicted.
3. Relevance
NPS is a measure of your whole business as its a KPI that is relevant to everyone, not just a particular team or department.
A strong NPS reflects that your business is performing well - from account management to your products, marketing and customer experience. Alternatively, a low score could indicate there are a few minor issues that need addressing and by introducing one or two additional questions to the survey can be valuable to capture this information.
4. Easy to benchmark against competitors
As it is a universally recognised survey, it is easy to benchmark against your competitors and track your business progress against your industry.
5. Measure loyalty
Surveying your customers at least twice a year will allow you to get their latest sentiment toward your business and enable you to identify trends and track business performance over time. You can also track how different local and global teams are tracking against each other. Asking your customers to rate their experiences offers a deeper view of customer sentiment and enables quick learning and action.
Combining forces
NPS enables your business to get invaluable voluntary feedback on all aspects of your business from a sample of your customers multiple times a year, in real time. Combining NPS with media data can provide for a powerful outcome. It provides the ability to action insights faster with the visual aid of dashboards, word clouds, top voices in the media and automated sentiment - indicating if media mentions about your business are positive, neutral or negative.
By seeking information from multiple sources, you can listen, learn and find tools that separate real insights from background noise, sense check benchmarks and get a firm grasp of your competitors, influencers and the current landscape. All these elements help provide endless possibilities for your business.
Combining media data and NPS also enables you to observe patterns and correlations that might exist between what is being said about your business throughout the media and the likelihood that your customers will promote your business to others. By recognising trends and correlations between broad social sentiment can help inform your social media, marketing and PR strategies.
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A Net Promoter Score (NPS) program is the leading indicator of growth for a business and can be based on a single question: How likely are you to recommend our company/product/service to a friend or colleague?"
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Blog
The Power Of One Number
There’s something appealing about one score having so much meaning behind it. A Net Promoter Score (NPS) program is the leading indicator of growth for a business and can be based on a single question: How likely are you to recommend our company/product/service to a friend or colleague?
There are many common misconceptions about media monitoring that need to be cleared up sooner rather than later to give your brand the best chance of positive PR. Rather than letting your company succumb to the myths and misinformation being spread around, here are three of the most prevalent misunderstandings and the fact behind the fiction:
There's more to media monitoring than the digital platforms.
Myth #1 - You only need digital
While digital platforms are becoming more important to media monitoring, this is by no means the only area you need to be covering. Tweets, online newspapers and blogs are of course crucial, but so too are traditional media options, like local newspapers, talkback radio and other offline sources.
In fact, the best way to approach your media monitoring strategy is to accept that digital and traditional media are commonly connected, rather than separate features. For instance, social is often used as an extension to broadcast offerings, according to a study from Nielsen.
Here at Isentia, we understand that all platforms are important. No matter how small.
Myth #2 - Only the big publications matter
For many companies, getting the brand name or products mentioned on a national radio show or published in a country-wide newspaper can mean a big break. Alternatively, a negative story across these major platforms could result in a significant blow to your reputation and profitability.
It is clear, then, that keeping tabs on the big media players is crucial. However, while some media monitoring providers will focus on national newspapers, big brand radio shows and other major publications, these strategies could be missing an important element.
National publications can give you a clear picture of what millions of consumers are reading, thinking and discussing, but this is unlikely to give you much information on what the local people believe.
If your business operates in a rural or remote location, you need to be tracking the local publications.
If your business operates in a rural or remote location, you need to be tracking the local publications - no matter how small. Similarly, even newspapers circulating in smaller parts of big cities can provide a significant level of insight, if only you are aware of their readership and content.
Myth #3 - Listening is the most important part
While media monitoring is critical for business success, listening to the conversations about your brand and industry is far from the be-all and end-all to your strategies.
Once you have uncovered a relevant story or discussion, it's not enough to simply stand idly by and learn from the experience. Taking the next step involves getting an insightful and useable report, deciding on relevant and effective action and getting involved in the discussions.
Of course, this is all easier said than done, but with the right media monitoring tools, you can get started with your best foot forward. Click here to check out some of our services so that you can be on the right track!
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Blog
Common Misconceptions With Media Monitoring
There are many common misconceptions about media monitoring that need to be cleared up sooner rather than later to give your brand the best chance of positive PR.
Trendspotting is no longer just an intuition but a science of solid facts
The world is facing a plethora of trends. Although some innovations drive trends, most trends precede innovation. With the emergence of data science, data scientists use scientific methods, algorithms, and machine learning principles to extract insights from raw data.
In this whitepaper, Isentia will dive into data-driven ways to spot trends through the art of social listening by using actual case studies.
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Whitepaper
Trendspotting: The art of social listening
Although some innovations drive trends, most trends precede innovation. What are some data-driven ways to spot trends through the art of social listening?
In leadership meetings across the industry, a single question has become unavoidable: "What is our AI strategy?" Behind this question is often the unspoken hope for an "AI Easy Button": a mythical, one-click solution to our most complex measurement challenges. As someone who spends a large portion of my time designing these new frameworks, I'm infinitely more excited about the blueprints and the foundations than what colour the house is painted.
For the first time in my career, we have the tools to stop using proxies and start building what we've always wanted: true, at-scale, sophisticated measurement.The real opportunity isn't in automation, which lets the AI decide; it's in the architecture and design of systems for the AI to follow. For decades, I’ve been frustrated by proxies. I’ve watched organisations use metrics like Impressions and Share of Voice as proxies for impact and influence. Too many people have been measuring the loudness of their voice, not whether anyone was actually listening.
Much of the history of communications measurement has been a story of 'good enough' data. And in some cases, data that wasn't even good at all (*cough* AVEs).
Why a blueprint still needs an architect
But before we can harness the potential of AI, we have to be honest about the technology and tools we're working with. As anyone who's ever used a "smart" tool knows, they can be... well, confidently wrong.
The new challenge isn't just "Garbage In, Garbage Out." The new challenge is that the AI has become a high-speed, frighteningly convincing echo chamber. When a machine delivers a flawed insight, it does so with the resolute certainty of a supercomputer, laundering that flaw into a "fact."As architects, our job is to audit the blueprints and stress-test the materials before we build the house. When my team and I test these models, we're not just looking for what they do right. We're methodically hunting for where they go wrong.
Where we continue to see a critical need for human intervention and expertise:
Context Blindness: AI is a brilliant pattern-matcher, but it has limited real-world context and struggles to identify the intent of what’s being analysed. It can miss the nuance of language, the authority of a source, or whether something is fact or speculation.
Language Bias: This is my personal favourite and takes a few forms. AI is trained on text, but it isn't (yet) trained on human subtext. This can look like missed nuance for slang used by younger audiences or emerging shifts in the meaning of language. Models are ultimately impacted and biased by their training data, so this can also mean larger systemic biases are amplified and not appropriately interrogated.
Viewpoint Collapse: While AI can sometimes get locked into a perspective based on its training, it can also collapse multiple, distinct viewpoints (like a speaker's sarcastic intent vs. the literal text) into a single, flat monolith. This drastically changes the outcomes of your analysis and ultimately the understanding of your audience.
This is the methodical, behind-the-scenes work that often goes unseen, and it is the crucial due diligence needed. It’s not as flashy as writing a press release faster, but it’s the only way to build a tool you can actually trust to make a strategic decision.
New tools, same bedrock principles
This testing isn't just about finding technical bugs or funny hallucinations. We’re testing these new AI models against the foundational, hard-won principles of communications measurement that our industry has spent years formalising.
AI is an incredibly powerful new tool, but it doesn't get a free pass. It still has to follow the rules of good measurement.
Measure outcomes, not just outputs: This has always been our goal. An AI-driven approach that only counts outputs (like mentions or sentiment) 1,000 times faster is still just a faster measure of noise. It doesn't tell you if a single mind was changed or a single action was taken.
Demand transparency: A metric is useless if you can't explain how it's calculated. This is my biggest critique of the current "plug-and-play" approach to AI. If a vendor provides a proprietary 'Reputation Score' of 7.2, and they can't (or won't) tell you the formula, it's not a metric. It's marketing.
Link activity to business objectives: This is the most important rule of all. The only reason to measure is to inform a strategic decision that ladders up to a business goal. A tool that just produces data, but no clear insight linked to your specific objectives, has failed.
When we stop seeing AI as a magic box and start seeing it as a powerful, scalable engine, one that we must build and steer based on these principles, then it becomes truly transformative.
The payoff: the tools are finally catching up to our ambition
A new frontier of opportunity is here. Such as the capability to move from being reactive to being predictive, and it takes careful design to get this right. Our traditional analysis has been brilliant at explaining what has just happened. Now, as architects of these new systems, we are building and testing AI models that can scan the horizon for the faint signals that precede a major narrative shift.
We can empower movement from broadcasting and the old spray and pray approach; to precision, deliberate engagement of stakeholders and audiences. This is another area where the craft of measurement design is essential. AI gives us the power to see the micro-communities and specific, high-authority voices that actually shape opinion. The work is in designing the models that can identify them accurately.
Finally, we can (at last!) move from quantifying to qualifying at scale. For me, this is the most exciting and complex challenge. For 20 years, I’ve had to choose: a large-scale quantitative study (which missed nuance) or a small-scale qualitative review (which couldn't be scaled). As architects, we can now design frameworks that don't just give a "positive" score but confirm that a specific strategic message landed, with the right audiences, and in the intended context.
That is the opportunity. It's not magic. It's the methodical, patient engineering we've been waiting for. It’s the difference between a "plug-and-play" gimmick and a truly strategic asset. The real payoff isn't just faster reporting, it’s about fundamentally upgrading behaviours and expectations of measurement. This isn't an overnight shift. As any research leader will tell you, a new methodology takes time, testing and refinement to get right.
The future we've been waiting for
For my entire career, we’ve been strategic thinkers working with tools that could only show us the past. We were forced to be historians, meticulously analysing what had already happened to predict future behaviour. The key to using this new, complex technology effectively is; strong communication, articulation and critical human thinking. The power of any AI is unlocked by the quality of the question you ask it. It's a system that rewards clear, precise, and strategic language.
This is a massive homefield advantage for communicators, who have spent their entire careers honing the exact skills required to be the architects of this new era. The AI we are using today is the worst it will ever be. It will only get better, faster, and more capable from here. This is what's so thrilling, and it's just the beginning. This new generation of AI driven approaches doesn't replace our intuition, it amplifies it. As communicators (and researchers!) this is the moment to level up. We get to be the explorers and the strategists who connect communications directly to business, policy and societal outcomes.
We're not just building better measurement and deeper insights; we're leading a more intelligent, more responsive and more impactful profession. What an incredibly exciting time to be in this industry.
Ready to be the architect of your own measurement strategy?
To learn how to build the right KPIs and tell a compelling story with your data, register for our live webinar:
Topic: Making Communications Count: Build your KPI confidence and storytelling"
Date & time: 12 November, 11am AEDT/ 2pm NZT
Hosted by: Ngaire Crawford, Director of Insights for ANZ, Isentia.