Digital
Singapore is a strategic location for our expansion – Prateek Kumar
Mumbai: Visionary entrepreneurship is not just vital for establishing a business setup but making a strong position in the eyes of the clientele. Yield goodwill is a long-term process with anticipation of the right marketing mix. A proactive approach is not just eye-catching but astonishes sustainability in the brand market. On different parameters about technology and transformation, we discussed with NeoNiche founder and CEO Prateek Kumar to know his perspective.
Indiantelevision.com exclusively speaks with Prateek Kumar on data security, data integration, communication methods, marketing mix, differential clientele services in a dynamic environment whether it is AI, technology, metaverse, future prediction, and his visions.
Here are excerpts –
On ISO certification in 360 degree marketing –
NeoNiche is not only ISO Certified in Data Security and Quality assurance but also is SOC2 and GDPR Compliant. All kinds of certifications hold significant importance for a “Full Services” and “Marketing Product Company” as they foster quality, credibility, efficiency, and responsibility. It aligns with the demands of a dynamic and interconnected business environment, contributing to the overall success and sustainability of a company and the Customers it serves.
On differential services in NeoNiche agency –
NeoNiche is “Digital First: full services agency where we merge creativity with technology. Our data-driven insights, A Partnership network across major global locations, Our International Branch in Singapore, and our extensive domestic network across India help us increase our “Speed to Market”
NeoNiche is known for offering a wide array of services beyond traditional Marketing offerings, Marketing Automation, Managed Marketing Services, Outsourced CMO, Influencer Marketing, Performance Marketing, Data-driven insights, Content Studio, Experiential Marketing, and consultancy services. This diversified portfolio allows NeoNiche to provide comprehensive solutions to clients, integrating various aspects of marketing and communication strategies. We don’t believe in the “One Size Fits All” philosophy and have different offerings for Large B2B enterprises, SMEs, and startups.
NeoNiche places importance on building strong and enduring relationships with its clients. A client-centric approach involves understanding the unique needs of each client and tailoring solutions to meet their specific goals. This focus on client satisfaction and partnership can set WPP apart in the competitive landscape.
On AI in advertising and its inclusive role of transformation in digital agencies –
Yes, AI has a transformative impact on Marketing agencies’ digital services, particularly in the realm of inclusive advertising. Including Targeted Advertising, Content Creation and Optimisation, Language Translation and localization, Better Customer Insights and Analytics Chatbots for Customer Interaction, and Inclusive Representation as AI image analytics can align products with gender, ethnicity, and demographics. By leveraging AI technologies, agencies can create more personalised, representative, and effective advertising campaigns that resonate with a broad and diverse audience.
On NeoNiche Strategical expansion in the Singapore Market –
Different markets have different characteristics even in India different States react to a particular Marketing Stimulus in different ways our Growth and metamorphosis from “Marketing services Organization” to “Marketing Product and Services organization” as NeoNiche is catering to Enterprise in B2B marketing in a huge way be it our offerings like “NeoFlo”, “ Nsync”, “B2B Digital Marketing Services”, “Community Building”, “Managed Marketing Services” or more traditional “Experiential Marketing Services”
Singapore is a strategic location for our expansion as Its proximity to major markets in the region, such as China, India, and other Southeast Asian countries, can provide logistical advantages for businesses. due to its dynamic business environment, strong infrastructure, and pro-business government policies. The city-state’s reputation as a regional hub for technology, finance, and innovation aligns perfectly with our growing clientele and our vision for future growth. Additionally, Singapore’s diverse talent pool and multicultural society provide us with the resources and expertise to effectively serve our clients across the Asia-Pacific and ANZ regions.
On strike balance with affordability and quality including ROI –
Balancing affordability and quality is a common challenge in any industry, but it’s crucial for success. Since we are no longer just an “Experiential Marketing” or an “Event Company” as we have long moved to a space where we have moved from a “Marketing services Organization” to a “Marketing Product and Services organization” this gives us a “Full Services Capability”; Our Products and Solutions provide deep insights and generates ROI on Every project that we undertake.
On a journey to become an entrepreneur –
NeoNiche was started with the single dream of bridging the gap between the marketers and the understanding of his/her hired agency. We started with the single aim to reinforce the relationship between the company & customers, brand & buyers, and product & prospects, by creating experiences, delivered in real-time across multiple platforms of Social, Digital, and on-ground Event experiences. While We embarked on this journey with our team, we realised this was only possible if we truly cared about people who mattered to us, our team, families, Our Suppliers, our customers, the society that we live in, and the law of the land.
On generalisation of creativity-focused business –
The proliferation of digital marketing agencies worldwide does indicate a significant trend in the business landscape. While the widespread presence of these agencies may suggest a generalisation of creativity-focused businesses, it’s important to recognise that not all digital marketing agencies operate in the same way or prioritise creativity equally.
Digital marketing agencies serve a variety of purposes, and their services can range from basic advertising and social media management to more specialised areas like search engine optimization (SEO), content marketing, and data analytics. The level of creativity involved often depends on the specific goals of the client and the nature of the services provided. Also, consolidation always happens in any industry, remember the Dotcom boom of the early 2000s only the one that creates real value for customers to thrive and grow.
On anticipation of industry performance in upcoming financial years –
The pace of technological innovation is expected to continue, with advancements in areas like artificial intelligence, quantum computing, 5G, and the Internet of Things (IoT). Industries that effectively integrate and leverage these technologies may experience significant growth. As environmental concerns continue to rise, there’s a growing emphasis on sustainable practices. Industries involved in renewable energy, eco-friendly products, and sustainable technologies may see increased demand. Economic landscapes can impact industries differently. Global economic trends, trade policies, and geopolitical events may influence the growth and development of various sectors including Marketing.
With the increasing digitisation of businesses and daily life, the importance of cybersecurity is expected to grow. Industries dealing with cybersecurity solutions and services may experience increased demand.
Automation and AI adoption are likely to increase across industries, impacting jobs and processes. Industries that effectively integrate these technologies may enhance efficiency and productivity. While this is my guess it is important to note that unexpected events, such as global crises, technological breakthroughs, regulatory changes, or geopolitical shifts, can significantly alter industry trajectories.
On the suitability of metaverse in the Indian continent –
The metaverse offers various economic and business opportunities, ranging from virtual commerce to immersive experiences. Indian businesses could explore these opportunities, especially in sectors like gaming, e-commerce, education, and entertainment. It is important to note that the success of the metaverse relies heavily on robust digital infrastructure and widespread internet connectivity. India has been making strides in improving digital infrastructure, including the expansion of broadband access. The continued growth in this area would positively influence the adoption and success of metaverse technologies.
It is also important to note that the adoption and success of the metaverse are influenced by a complex interplay of technological, cultural, economic, and regulatory factors. As the concept continues to evolve, ongoing developments in these areas will shape its impact on the Indian technology landscape.
On over-dependency on AI and the quantum of work –
While generative AI has the potential to revolutionize the media industry by improving efficiency and creativity, it’s essential to approach its adoption with caution. A thoughtful and balanced integration of AI, combined with human oversight, is crucial to harness the benefits while mitigating potential drawbacks. Regulatory frameworks and ethical guidelines can help guide the responsible use of AI in the media sector.
On future objectives plans of NeoNiche –
NeoNiche has embarked on a transformative journey from being an Indian Experiential Marketing company to a global one, we strive to bring the richness of our heritage and a dynamic approach. We are mastering brand experiences in the vibrant Indian market, our vision extends beyond borders. As we evolve into a Global Full full-service marketing entity, our goal is to craft narratives that transcend cultures, break barriers, and inspire positive change.
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.
