MAM
Celio India launches #CelioDoItYourWay, featuring Emiway Bantai, Ranveer Allahbadia, Umran Malik and Naaman
Mumbai: Laying emphasis on just how important it is to push beyond your limits by following your gut, Celio India, a French menswear fashion brand, has launched an exciting new campaign #CelioDoItYourWay. The brand’s first-ever music video featuring Emiway Bantai, Ranveer Allahbadia, Umran Malik, and Naâman has a super catchy soundtrack that is bound to have you grooving.
The name of Mumbai-based rapper and songwriter Emiway comes from Eminem & Lil Wayne and his last name Bantai comes from the streets of Bombay. Hailing from a humble background, with nothing but sheer determination and talent to rely on, Emimay Bantai turned out to become one of the biggest independent musicians in India. Allahbadia, also known as BeerBiceps, is India’s biggest podcaster, who battled his own demons and eventually defeated them, emerging as a strong digital creator, entrepreneur, and an inspiration for young India. Malik began playing cricket in his community at an early age, without any proper tools, equipment, or training. Naâman, a French reggae musician too, realised that his love, passion, and devotion lies in reggae music and took it upon himself to contribute to the trajectory of the genre, by writing and singing his own songs.
The music has been composed by Mikey McCleary, and rapped by Emiway in signature Bantai style, so the song being catchy, is no surprise. But don’t just get swayed by the beats of the music, because the lyrics are honest and heartfelt too. The video features how all three of them, who are wavemakers in their respective fields, made it in life by following the paths they defined for themselves. Staying true to the brand’s roots, the music video also features a French reggae singer and musician Naâman, adding to the key messaging of the campaign by being a pioneer of his craft.
#CelioDoItYourWay, conceptualised by Havas Worldwide India, is all about celebrating one’s individuality and doing things your own way. The song is meant to inspire people to take risks, go after what they want, and explore their passions, especially in a world where mundane herd thinking is the norm.
Celio India CEO Satyen Momaya said, “We are excited to announce our latest campaign, “Do It Your Way”, which celebrates men who break the odds and deviate from conventional ways. Today’s generation of young artists, athletes, and social influencers are carving their own journeys and taking pride in doing things their way. As a brand, we celebrate this spirit and aim to bring you the best of both Indian and French artists through this campaign. Our French heritage has always been a source of inspiration for us, and we are proud to highlight the differentiation we bring to the Indian menswear fashion scene. Celio understands the young millennial and Gen Z, and our merchandise collection is designed to help you express yourself in your own unique style.”
Emiway Bantai, singer and rapper added, “It was so easy for me to resonate with the #CelioDoItYourWay campaign because it became a medium for me to share my personal journey. It was great working with like-minded people, who just like me, believed in themselves through all odds thrown their way.“
“I believe in people taking individual liberties towards actions that feel right to them without fear or judgement. This is what the campaign means to me, and is always going to be special because it hits right at home” said Ranveer Allahbadia, also known as BeerBiceps, social media entrepreneur, investor, YouTuber and Youth Icon.
Malik, who features in the music video too said, “Celio is a brand that believes in doing things differently. The new #CelioDoItYourWay campaign celebrates this belief with a video that showcases the versatility of the brand in engaging communities through music, art, and more.”
“It’s a delight to be part of a campaign that embodies the concept of breaking the stereotypical moulds to portray ourselves in our own ways. Working on the song with such immensely talented people was a privilege.” Naâman, French reggae singer and musician said on working with the brand on the music.
Havas Group India chairman & chief creative officer Bobby Pawar said, “We believe great brands are those that make a meaningful difference in people’s lives. It could be through a powerful thought, actions, or a combination of both. For Celio, we found it in a point of view that inspires people to forge their own path, to define success on their terms, to go off script, to go from having a herd mentality to having a ‘herd’ mentality (i.e listening to your heart). The best part is that this is very much a part of Celio’s DNA. The question was how do we express it? Not as a campaign, but by creating pop culture by collaborating with four people who made it by doing things their way. Their stories were told in what is one of the greatest mediums for telling personal stories, hip-hop. I’m grateful to our clients; Satyen, Stanton, Suparna, and their teams for not just backing the idea but being amazing partners in crime.”
The video was directed by Raylin Valles, and produced by 10 Films, is now trending across social media platforms such as Twitter and Instagram.
Digital
GUEST COLUMN: How AI is restructuring distributor and retailer motivation models
From incentives to intelligence, AI is redefining how brands engage channel partners
MUMBAI: Artificial intelligence is rapidly transforming how brands engage with their most critical yet often overlooked stakeholders: distributors, retailers, and last-mile influencers. For Abhinav Jain, co-founder and CEO of Almonds Ai, this shift marks a fundamental departure from traditional, transaction-led incentive models toward behaviour-driven, data-intelligent ecosystems. In this piece, Jain examines how AI is enabling brands to decode partner motivations, predict engagement patterns, and deliver personalised, scalable experiences—ultimately redefining channel relationships from transactional exchanges to long-term growth partnerships.
Across many sectors, there is increasing recognition that motivating those who bring products to market (distributors, retailers, last-mile influencers) poses a growing challenge.
Brands continue to invest significant marketing and digital resources to consumers, yet in many countries and the vast majority of emerging economies, these types of consumer-focused investment areas have had little impact on ultimate product delivery. Rather, it is still the case that traditional retail continues to make up most products sold.
So why is it that the systems built around motivating these channels have yet to evolve?
For decades, distributor and retailer engagement revolved around static schemes – quarterly targets, volume-based rewards, and occasional trade promotions. These programs were designed around transactions, not behaviour. The assumption was simple: if incentives increase, performance will follow.
Now, with the advent of artificial intelligence, the definition of performance is being challenged.
With the development of artificial intelligence, businesses can move beyond simply creating loyalty based on transactional-based models and toward models built on behaviours, the behaviours of channel partners that are intrinsic to their motivations in engaging with particular brands. As a result, the means by which businesses develop relationships within their distribution network are starting to evolve; thus, ultimately changing how brands interact with those within their distribution network.
Assessing engagement: Transitioning from transactional- to behavioural intelligence
Traditional loyalty systems refer to transactional activity (sales data). Although this data is valuable and important, it only provides a partial view of engagement across the channel partner.
For example, a retailer may have a high frequency of sales of a product, but their lack of engagement with the manufacturer would not reflect that they have true loyalty toward that brand. Conversely, a retailer who actively participates in training programmes, acts as brand advocates, and is engaged in learning with the supplier would exhibit more profound levels of loyalty but would have been invisible based on historical incentive programmes.
Artificial intelligence allows for the identification of behaviours that help to address this gap. Brands are able to use a variety of engagement data points, participate in learning programs, respond to communications, redeem behaviour and track platform use behaviour in order to identify motivation through behaviour.
McKinsey has stated that companies that leverage advanced analytics for their sales and distribution functions can achieve as much as a 15-20 per cent increase in productivity due to increased awareness of their behavioural trends throughout their networks.
This visibility of behavioural patterns within channel ecosystems can be transformational to brands as they can now view how partners engage on their path to purchasing products, instead of just measuring the sales revenue generated by those purchases.
Predicting motivations, not just measuring performance
Possibly, the largest contribution of Artificial Intelligence (AI) to helping brands engage with partners via channel ecosystems is its ability to predict future engagement versus simply measuring past performance.
Traditionally, brands only realised that a partner was disengaged (not likely to purchase products) once their sales performance had already declined. By then, the brand would have to use significant amounts of incentives or aggressive promotional activities to recovery their partner’s engagement level.
AI models can help organisations to detect early signs that a partner is becoming disengaged, such as declining participation in learning modules, declining interaction via the platform, or slower reward redemption rates. These indicators can help organisations to proactively engage with their partners before their sales performance begins to decline.
The practical application of AI and predictive analytics gives brands the ability to re-engage with their partners prior to their sales performance declines. For example, instead of developing and implementing broad-reaching incentive programs that provide a “one size fits all” incentive to all partners in an ecosystem, brands are able to develop targeted, engaging re-engagement programmes. This is how personalisation can be done on a large scale, such as across global distribution and retail networks.
The vast majority of distributor and retailer channels have thousands, if not millions, of individual channel partners. Historically, providing personalisation to such a large number of businesses has not been feasible.
However, with the advent of AI, personalisation at scale is becoming a reality.
Brands can now create tailored engagement journeys for all their partners, based on their partner profiles, through some combination of machine learning models and behavioural segmentation. For example, high-performing distributors might receive higher levels of leadership-based recognition and greater incentives to continue to grow. Emerging retailers, on the other hand, might be supported with training, onboarding rewards, and measurable performance milestones.
The shift towards personalisation of partner engagement echoes the direction that consumer marketing is already moving towards.
According to Salesforce’s report, over 70 per cent of customers expect personalisation in the way that brands engage with them. As such, there is a growing expectation for B2B ecosystems to have these same types of expectations from their channel partners.
Gamification and continuous engagement
AI is also radically changing how brands will engage with their channel partners through the use of gamification.
Many traditional incentive-based contests and leaderboards would spark temporary engagement among their participants, but they struggled to sustain engagement over time. With the use of AI, gamification mechanics are evolving dynamically based on historical and evolving participation patterns by their channel partners.
Challenges, rewards, and recognition structures can be modified continuously in order to sustain engagement with all of a brand’s partner segments. This will provide a greater opportunity to move away from episodic campaigns towards ongoing, continuous engagement experiences.
When channel partners receive motivation as part of their daily business activities through recognition, learning, and tracking their performance, long-term loyalty will be achieved.
Aligning motivation to broader impact
There is a growing trend within the channel ecosystem to integrate sustainability and socially responsible behaviours into the channel partner programmes of brands.
Increasingly, brands are motivating their partners to use sustainable practices in their operations, participate in sustainable practices like sustainability-related knowledge programmes, or promote products that are in line with their sustainability objectives.
Brands can use AI to monitor and measure these types of behaviours and incorporate them into their incentive frameworks so that brands can align their commercial objectives with broader social and environmental outcomes.
A shift in the way brands view their channel partners
AI is having the most significant impact on the way that brands are now viewing their channel partners, as it relates to the underlying philosophy of those fundamental relationships.
For the past several decades, many brands have viewed their channel partners as intermediaries in the supply chain. More and more brands are now beginning to view their channel partners as key ‘partners-in-growth,’ and their actions can have a direct impact on market performance.
In fact, all the channel ecosystems are using behavioural engagement platforms to design new models that reward not just transactional behaviour, but also create continuous engagement journeys for their partners, where their partners can receive recognition for their participation, learning, and continued engagement, thereby reinforcing long-term loyalty to the brand.
The future: Intelligent channel ecosystems
As we consider what the next phase of channel engagement may look like, many believe that it will be based on intelligent ecosystems, using AI to continuously monitor and adjust the engagement strategies used to engage their channel partners, in real time and based on the behaviours of those partners.
For brands operating in complex distribution networks, the ability to perform well will be determined both by whether products are available to their customers, as well as by the enthusiasm, expertise, and loyalty shown from each channel partner that represents the brand each and every day that they are working on behalf of the brand.
While AI clearly does not eliminate the human aspect of a brand’s relationship with its channel partners, it does allow brands to better understand and nurture that relationship.
In markets where the last mile will determine whether a sale is made, how one leverages the intelligence gained by using AI will ultimately be the difference between gaining a new, sustainable competitive advantage versus losing one.
