MAM
GUEST COLUMN: How Micro-Influencers become creators for brands
Mumbai: Until recently, the concept of brand endorsements and the way brands reach their target audience has recreated the social media landscape. A newer concept of influencer marketing has emerged in the era of the creator economy. Considering the explosion of social media and creator tools in the market, the creator economy has grown from $1.7 billion in 2016 to $6.5 billion in 2019 further crossing $9.7 billion in 2020.
Given the accelerated transformation of the advertising economy to the creator economy, it has become necessary for brands to develop relationships with influential personalities and promote their products and ideas. Creator economy is centered on creators becoming influencers, someone with 10,000 to 1 million followers or micro-influencers with 500 to 10,000 followers. Brands partner with influencers on a smaller scale to generate authenticity in brand promotion instead of focusing on sponsored ads or paying hefty to branded influencers for their stardom.
Influencers vs Micro-influencers
Influencer marketing is at its peak. It has gone beyond the brands partnering with people with thousands and millions of followers and promoting their product to their audience. Having said that customers are more likely to purchase from a brand they can connect with. That’s where influencer marketing comes into the picture as an effective tool for word-of-mouth marketing and increasing social media authenticity. Hence, brands pay macro influencers to create and publish content based on their products or sponsor their events, as large-scale outreach programs.
Micro-influencers, on the contrary, have fewer followers and are extremely valuable for brands looking to increase their awareness within a particular niche. With the surge in the popularity of micro-influencers, younger generations are coming forward with their charismatic appeal and niche expertise, leading the brands to capitalize on the youth marketing techniques. For instance, go-to Gen Z fashion brand – Urbanic created a 150+ community of best-dressed campus students aka creators, who created some fabulous content and engaged in a variety of brand collaborations, drove meet & greets to drive brand sales, digital visibility and grow community size.
Collaborating with the right influencers
Influencers are appreciated for their real content. They are considered to be more authentic and community oriented than a brand or a celebrity promoting a product. Known for being more engaging with the TG, the influencers typically get more time to connect with their follower base. This helps in creating a loyal audience for the brand. Instead of having followers with varied interests, demographics or geographics, these influencers tend to be more specialized and niche specific.
In the fast-paced creator economy, influencer marketing offers several benefits to brands. As social media algorithms continue to change, brands struggle to reach their audience in broader terms. According to the facts – influencers with more than 5,000 followers are usually responsible for 70 per cent of all reach in the influencer landscape. Hence, a smaller follower base of micro-influencers can actually create engagement for the brand by making the content appear right in front of the eyes of the target audience. Furthermore, it becomes more cost-effective to collaborate with micro-influencers as brands can share free product samples or coupons with micro-influencers.
Strong community building
Social media connects people on a global level. However, a community is built with like-minded people who have common ideas and thoughts to share. Though micro-influencers do not have instant name recognition, their narrower reach and specific content build a strong community of followers for brand endorsements. Even with a smaller reach, micro-influencers have higher credibility than some high-profile endorsements. This helps brands to create connections with the targeted audience with local interests that can have a huge impact on the brand’s marketing front.
Brands experiencing growth
Onboarding the right influencers and empowering them to create real content is always followed by long-term relationships that further depend on the success metrics of the campaign. However, brands still find it challenging to evaluate the results of a micro-influencer marketing campaign. Differentiating between real influencers and people who buy inorganic followers that can offer no guarantee of engagement or success remains the biggest concern of the brands. Those looking to experience growth and engagement need to explore different marketing perspectives and tools such as followers, profiles, quality of comments, profile visits and even previous experience of influencers as brand endorsers to evaluate results. They can prove to be important numbers to quantify success metrics and can work as great ROI predictors for brands as well as micro-influencers.
The author is Sociowash co-founder Pranav Agarwal
Digital
The creative cull: how AI is coming for the marketers, ad men and researchers
Robots aren’t taking over yet, but the writing may already be on the wall for some of the US’ most glamorous white-collar jobs.
CALIFORNIA: The robots are not, it turns out, storming the factory floor. They are sitting quietly at a MacBook in a Soho agency, rewriting your copy, summarising your focus groups and generating your mood boards, and nobody has been sacked. Yet.
A new report from Anthropic, the AI company behind the Claude chatbot, offers the most rigorous look to date at what artificial intelligence is actually doing to jobs, as opposed to what doomsayers and boosters claim it might. The verdict from economists Maxim Massenkoff and Peter McCrory is nuanced but pointed: there is no mass unemployment so far, but some sectors have good reason to be nervous. Marketing, market research and the arts are squarely in the crosshairs.
The researchers introduce a new measure called “observed exposure.” It goes beyond theoretical speculation about what AI could do and instead tracks what it is already doing, drawing on real Claude usage data. The approach is clever. They weight automated uses, where the machine performs the job entirely, more heavily than augmentative ones, where it merely assists. They then map this onto roughly 800 occupations, weighted by how much time workers actually spend on each task. For now the target user base has been the US market, but the findings offer a glimpse of what may be happening in other countries as well.
The results are sobering for the creative and analytical classes. Market research analysts and marketing specialists clock in at 64.8 per cent observed exposure, meaning nearly two-thirds of their daily tasks are already being performed, at least in part, by AI in professional settings. The leading automated task is preparing reports, illustrating data graphically and translating complex findings into written text. In other words, this is the kind of work junior analysts spend most of their days doing.
Arts and media fare little better. The sector shows meaningful theoretical exposure, as large language models can in principle handle the lion’s share of tasks, though observed usage still lags behind capability. The gap is narrowing, however, and the direction of travel is unambiguous.
Here is the sting in the tail. The workers most exposed to AI disruption are not, as popular mythology suggests, low-paid drudges. They are older, better educated, more likely to be women and considerably better paid, earning 47 per cent more per hour on average than their least-exposed counterparts. Graduate degree holders are nearly four times as prevalent in the high-exposure group. The creative professional, the senior analyst and the market researcher with an MBA are precisely the people who should be paying attention.
“We’re not talking about the checkout operator,” the paper implies. “We’re talking about the account planner.”
The most alarming signal in the data concerns not those already in jobs, but those trying to enter them. Among workers aged 22 to 25, hiring into highly exposed occupations has slowed measurably since the release of ChatGPT in late 2022. There has been a 14 per cent drop in the job-finding rate, a figure the authors describe as “just barely statistically significant.” Young people are, in effect, finding the door to exposed professions quietly closing. Whether they are staying in education, taking different jobs or simply giving up is not yet clear.
For a bright graduate eyeing a career in market research or media production, this is not merely an academic data point. It is a flashing amber light.
The paper is careful about what it does not find. Unemployment among highly exposed workers has not risen in any statistically meaningful way since the ChatGPT era began. The apocalypse has not arrived. Even in the Computer and Math category, the most theoretically exposed of all, Claude currently covers just 33 per cent of tasks in practice. The gap between what AI can do and what it actually does at scale in professional workflows remains vast.
Think of it less like a tsunami, the authors suggest, and more like a slowly rising tide. The internet did not destroy journalism overnight. It took 20 years and the collapse of a generation of classified advertising revenue. The China trade shock also took decades to fully register in unemployment statistics, and economists are still debating the numbers.
What does this mean for the luvvies, the admen and the pollsters? The honest answer is: not much yet, but watch this space. AI is already doing the grunt work, including data summaries, draft press releases and boilerplate creative briefs. The question is whether it stops there or continues climbing the value chain.
The authors are building a framework to track exactly that and promise to update it as new data arrives. If the tide does come in, they want to see it coming before the sandcastles are already gone.
For now, the creative industries can breathe, but perhaps not too deeply. The machine is not at the door. It is already at the desk.
