What can you learn from 750,000 social media posts in China each day? Sean Smith of Isentia explores how technology is disrupting market research.
No Facebook. No Twitter. No YouTube. With stifling regulations around social media use, how can New Zealand businesses’ use social media to enter Chinese markets?
The basic premise remains the same – the way in which Chinese consumers engage with social media platforms is not dissimilar to here, nor is their decision-making journey. Needless to say, understanding the landscape is paramount for any company aspiring to capitalise on the booming Chinese economy. It’s certainly an opportunity worth pursuing – this year China’s GDP is estimated to exceed US $12.1 trillion (NZ $16.44 trillion).
An obvious difference from the outset is the sheer volume of online conversations that happen within China’s firewalls.
This is not surprising given the 740 million-odd internet users, and is exacerbated by the fact that social media is a much larger phenomenon in Chinese culture than it is here in New Zealand.
In today’s digital world, this level of activity offers businesses unprecedented access to millions of organic conversations unfolding in the alluring Chinese market – in real time. The million-dollar question is, how can this information be used to help businesses make important decisions about when to launch a product in the market and drive sales?
Givenchy and Mr Bags
A great example of the power of social media in China is the partnership between Givenchy and blogger Tao Liang, better known as Mr Bags.
He uses his encyclopaedic fashion knowledge to retain over 2.7 million Weibo readers and a further 600,000 WeChat followers; keen to be ‘in the know’ on the latest handbag trends and the current “it” bag.
In an act of extreme commercial nous, in 2017 Mr Bags called for his followers to nominate a potential collaborator for the blogger. When Givenchy emerged as the overwhelming favourite, the brand took the opportunity to launch a limited-edition handbag on Valentine’s Day via Mr Bags’ social channels. What followed the announcement was a 12-minute frenzy seeing Givenchy part with 1.2 million RMB’s (NZ$247,000) worth of handbags – a complete sell-out. Needless to say, the campaign was deemed a success.
Listen to many, speak to a few
By now it’s no secret that social media isn’t just a broadcast platform. In fact, true to the proverb “we have two ears and one mouth, so we should listen more than we say”, there’s far greater power in using social media to understand a potential customer’s motivations.
In today’s world, social media provides market research on an unprecedented scale.
Once upon a time, businesses invested heavily in market research groups to understand consumer insight.
Test groups were enticed with gift vouchers or free products to partake in a fishbowl-style exercise, where they were asked to provide honest and open feedback as eager marketers and communicators looked on.
Despite questions being developed using the latest, tested methodology and astute moderators, the quality and authenticity of the data was often in question.
Let me be clear – this has less to do with the methodology and more a reflection that as consumers, we find it much easier to speak the whole truth when we think we’re not being watched.
With such a high level of human involvement, it is also incredibly difficult to collect data consistently and without bias.
Technology: the market research disruptor
Why might technology make consumers more honest and open with their feedback? The truth is people are more honest in a casual setting. Therefore, dialogue about a product or service that’s exchanged in the comfort of someone’s home (behind a screen) will often be more candid than their responses to a survey.
At Isentia, Mediaportal’s cloud-based technology trawls video, audio and digital content across more than 4,400 print items, 1750 broadcast items, 62,500 online news sites, 6 million blogs and 300,000 forums. Processing seven million news items each day a rate of 234 stories per second, it presents summaries to clients in real-time.
For China enthusiasts, the technology mines over 750,000 WeChat and Weibo posts daily and uses this information to unearth the Mr Bags’ opportunities – the people or issues relevant to specific industries – so that businesses can make informed decisions based on both data and sentiment in foreign markets.
What’s more, the nature of social media means the survey technically never ends. Social media listening provides continued real-time pulse checking and the perfect new product incubator. It’s more than watching @mentions and comments pour in via your social profiles, mobile apps or blogs.
“If you’re only paying attention to notifications, you’re missing a huge group of people that are talking about you, your brand and your product.”
The true value is in tracking conversations around specific topics, keywords, phrases, brands or industries, and leveraging these insights to discover opportunities or create content for those audience.
Data – a modern marketing and communications must-have
It is now hard to imagine a marketing and communications industry that doesn’t rely on data to inform strategy, new product development and campaigns.
Much of what took place in marketing and communications teams, even as recently as a decade or so back, was based on assumption. We *think* that this product would be of interest to this audience, so we *figured* the best way to tell them about it would be mostly via a TV ad campaign.
“But data is now essential for any smart and savvy marketer or communicator and presents the opportunity to tap into foreign markets with a level of insight that has never been more accurate or accessible.”
When you combine and embrace the use of technology, social media, and analyse the data that it provides – you can not only quickly test and learn new products, but also give the fans what they want.
Givenchy were clever and reaped the rewards of listening, embracing and reacting to their consumers’ want, making it big in China. Now it is your time to get onboard and reap the results.
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.
This is not a list of what to do to be more successful. Or a list about the highly successful morning habits of CEOs and CIOs.
Instead, it’s a call-out to others who read the titles of articles like these on a Monday and sometimes feel exhausted by the amount of additional ‘work’ that is actually recommended to be more productive or successful.
This is, however, a question as to whether our push for productively has blurred into so many areas of life that we’ve forgotten why we strive to be increasingly efficient in the first place. Are we now too focused on volume, rather than value?
For example, in the last week alone we’ve seen the launch of a five-minute workout video series, been served an ad for an app which gives you the world’s best nonfiction books in bite-sized formats and scrolled past a ‘mindfulness in microseconds’ Instagram post.
While squeezing more into everyday life is a common challenge (and arguably a goal) for many professionals, it does present an interesting behavioural shift where we start to use smart technology to speed up activities that perhaps we shouldn’t.
Working in the always-on media Industry, we work with some of the most pressed-for-time people on a daily basis.
These communications and marketing professionals are dealing with huge amounts of fragmented media across channels that sometimes need urgent attenuation or action, particularly in times of crisis. However, this is where our technology thrives – it puts in the hard yards for them. Crunching huge volumes of data, providing the tools to report, alert, shred and more, and helping to give back time that should be spent on the more important strategic tasks, away from a computer.
From a professional standpoint this could mean more time for pitching ideas, benchmarking results against business strategy or presenting to the board. This is where value is achieved – with time spent on activities that need extra thinking space and deserve focus. From a personal standpoint, this may mean taking time back to pick up the kids from school, getting to yoga or simply enjoying a cup of tea in silence.
It’s not a case about fitting more into the day, but about filling your day with more valuable activities. Smart technology holds so much power in helping us spend less time on task-based needs like emails, to-do lists and life admin to free up the time for (hopefully) more than a ‘mindfulness in microseconds’ quick fix.
Remember, effort is not the same as impact.
"
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The push to be ‘on’ by 6am
This is not a list of what to do to be more successful. Or a list about the highly successful morning habits of CEOs and CIOs.
From programmer to industry leader, as one of Australia’s only Chief Information Officers in technology, Andrea Walsh has shattered the glass ceiling. And she’s championing other women, while she’s at it.
So, is she a game changer? Let’s find out. I’m Sarah Harris. Welcome to Game Changers.
Sarah: Andrea, welcome to Game Changers, now you are one of Australia’s only female CIOs of a technology company. You must see yourself as a bit of a role model?
Andrea: I never thought I was, but having been in the role now for number of years I look around and I do think where are all the other women, where are all the females.
Sarah: And, where are they?
Andrea: There is just a real shortage of women in I.T and technology, which is a real shame.
Sarah: So, tell us a little bit about Isentia and what it actually does.
Andrea: So, Isentia is a media monitoring company. And basically what that means is we take information and news from across varying countries, about 18 countries, multiple languages, and we filter that and disseminate it to what is important to our clients and what are the leading issues that they need to focus on. An average day, there’s about 7 million news items that we’re processing.
Sarah: That is a big job, lots of information to get through. So, what does your role as CIO involve?
Andrea: So, I lead the technology team. We are responsible for all the systems and the technology that processes those 7 million items a day. And we also provide all the services for our clients and tools for them to be able to do their job each day.
Sarah: Why do you think there’s a lack of women in IT roles?
Andrea: I think through education. I don’t think that girls are encouraged to take up sciences and engineering when they’re younger. It’s very much seen as, ‘it’s for the boys’. I think it starts really early on. And then I also think women don’t put themselves forward necessarily for opportunities, and roles to re-train. And maybe say, I might be interested but unless I’m absolutely sure I not going to give it a go.
Sarah: You are quoted as saying, “we’re on the cusp of a technological revolution”. What are you most excited about?
Andrea: There is so much. I think that’s what’s exciting. I think with cloud technology, it’s enabled a lot of organisations to be able to experiment with technologies. And things like artificial intelligence, so looking at machine learning. And I think that will really shape future roles and jobs.
Sarah: You really passionate, which I love, about women moving up in the industry. In particular, girls learning how to code. For someone who is not as technologically advanced as you, perhaps, explain to me what coding actually is.
Andrea: It’s basically creating something using computer and technology. Sometimes, yes, it has to be, or can be, detailed lines of programming. But some of the tools that are available, especially to young children who are interested in coding, enables kids to build stories, cartoons and make videos.
Sarah: The number of girls studying, as you said before, STEM, which is science, technology, engineering and mathematics, it is slowly increasing. Which is brilliant. But it’s not at a rate of ‘the boys’ just yet.
Andrea: No. Certainly not. And I think that it is great that it is slowly increasing. But it’s got a considerable way to go.
Sarah: Well, how do we change that?
Andrea: I think again, it goes back to the education. It’s encouraging girls and young children to get involved in these subjects. And I also think that they have maybe a brand, or an image, issue with engineering and IT often see as ‘it’s for the boys’. I think it’s also about the parents and the carers. So often we teach our children when they come home about doing their homework, reading, writing, maths. But what about the children who want to learn technology, and they want to learn to code? And if the parents aren’t IT, how do they support them. So I think it’s really about, as I say, the education, but then also then about the parents and finding these great programs that are out there to give the kids opportunity.
Sarah: Your daughter is eight and she’s already taken an interest.
Andrea: When I first showed her the iPad, she just took it instantly. It was quite amazing to experience. We certainly encourage here to use it. There’s s o many educational programs for children that you can use on the iPad. So I’m a big advocate of it.
Sarah: It does bring up that other thing as well, because I have a little boy who’s 18 months, and he’s very savvy when it comes to technology. You know, he’s coming up to the television and trying to swipe it like an Ipad. But I do kind of worry that (you know) we’re introducing technology to these kids too early, because there’s been research that show that it’s actually changing the chemistry of the brain. When should we be introducing this sort of stuff to our kids? Because as a parent you sort of think to yourself, I don’t want my kids to have their head in technology all the time. But at the same time, you don’t want to hold them back, because that’s the future.
Andrea: I think its each individual parent’s choice. For our daughter’s, Charlotte, we introduced it quite early on, so it was before kindergarten. But we’re very strict with her, both from what she can do on there and so content she can see. And also how long she spends on there, because the last thing we want is to build a relationship and the communication is with the back of an Ipad all of the time.
Sarah: IT is a well-paying field, but there id still a gender pay gap when it comes to technology, isn’t there?
Andrea: Where I work at Isentia, we pay the market rate and we pay on skills regardless of gender. But it is a known issue within many industries and with many organisations and that’s something we need to address.
Sarah: What advice you want to give to women that you mentor?
Andrea: I would say, seek every opportunity. Just go for it – what can you lose at the end of the day? I think work with other areas of the business as well; get to know the business and the industry in which you work. Do things that are potentially outside your remit so you can learn and grow from them.
Sarah: You are a trailblazer and a Game Changer. Thank you for joining us today.
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Blog
Isentia’s CIO, Andrea Walsh on Game Changers
From programmer to industry leader, as one of Australia’s only Chief Information Officers in technology, Andrea Walsh has shattered the glass ceiling. And she’s championing other women, while she’s at it.
In a post-AI world where misinformation spreads faster than facts, trust in leadership has hit an all-time low. According to the latest Edelman Trust Barometer, we are witnessing a steep decline in how much the public trusts CEOs and institutions. So, how do leaders rebuild that capital?
Prashant Saxena kicked off the session by grounding the abstract concept of trust in a practical framework. He noted that while trust is the ultimate "wealth" a brand possesses—protecting it during crises, authenticity is the daily "currency" one must invest to build that wealth.
Isentia’s data suggests that many leaders suffer from an "Authenticity signal poverty"—posting content that lacks social proof, information credibility, or cultural fit. To combat this, communication must rely on the "Three Ps":
Proof: Is the information accurate and verifiable?
Place: Does it resonate culturally with the specific audience?
People: Is there endorsed trustworthiness?
2. During a crisis, "glossy" narratives fail
One of the most powerful insights came from Malathi Pillay at MRT Corp, who manages the reputation of massive public infrastructure projects, emphasized that trust isn't built in big moments, but through the consistency of day-to-day behavior. Her advice for staying authentic is to avoid the trap of "motherhood statements", words that don't really resonate with the common audiences.
She explained that stating a vision like "transforming mobility" is often lost on the audience. To make the brand promise authenticity, one must provide context.
"We always try to support our messaging with specific examples... We talk about that university student that lives in Kajang, who is now able to get to his university in Kota Damansara in one smooth ride within 45 minutes." — Malathi Pillay.
By grounding the narrative in specific, relatable human benefits, like saving time or creating local jobs, brands can bridge the gap between corporate goals and public reality. She also mentions how misinformation does not always have to be dealt with bold statements. Quiet corrections also go a long way in maintaining consistency in our media comms.
3. The "human compass" in tech and banking
Kim Dy from UnionDigital Bank addressed the challenge of humanising a traditionally cold and intimidating industry: banking. For a digital bank where customers may never speak to a human, the brand voice must do the heavy lifting.
Kim introduced the idea of a "human compass"—a framework ensuring every notification, app interface, and social post is helpful, clear, and optimistic.
"People trust people, not logos. Authenticity means speaking the language of your customers, and staying away from jargon in an industry that is unwelcoming and very intimidating." — Kim Dy
She shared a real-world example where a deepfake of a brand ambassador surfaced promoting gambling. Instead of hiding, the bank acted with speed and transparency, proving that trust isn't built in good times alone, but is earned by how you face problems head-on and when audiences actually see the steps taken to better the brand's reputation and earn back trust.
Both panelists agreed that the role of a leader has shifted. In the past, authority meant firmness. Today, authority requires empathy.
From the public Sector: Malathi noted that when leaders address concerns (like project costs), they must validate the public's anxiety first before diving into technical explanations. "Empathy must always come before explanation," she advised.
From the private Sector: Kim argued that authority doesn't mean being the loudest voice; it means being the most responsible one. She encourages leaders to move away from corporate scripts and share personal reflections to cut through the noise.
4. Balancing AI speed with human sincerity
As the panel concluded, the conversation turned to the role of AI.
Prashant highlighted a "speed vs. sincerity" dilemma facing modern communicators. His solution was to let data provide the authority, but let leadership provide the empathy. Malathi added that while AI is a tool we all use, leaders must have the discipline not to let it replace human judgment.
In her closing remarks, Paik San summarises that the secret to building lasting trust is coherence. It is the alignment of what you say, what you do, and how you make your audience feel over time.
Whether you are managing a digital bank or the infrastructural capabilities of public transport, the rules of engagement have changed. In a noisy world, the most cutting-edge strategy a leader can employ is simply being human.
Interested in viewing the whole recording? Watch our webinar here.
Alternatively contact our team to learn more insights into authenticity, leadership and why trust is on a decline.
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Webinar: how can leaders rebuild eroding public trust through authentic communication?
The webinar explores how leaders can rebuild eroding public trust by treating authenticity as currency through transparent communication.
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.