consumer engagement - FinTecBuzz https://fintecbuzz.com Fintech News Fri, 26 Jul 2024 06:41:17 +0000 en-US hourly 1 https://wordpress.org/?v=6.5.5 https://fintecbuzz.com/wp-content/uploads/2019/04/cropped-Original-black-FinTech-512-32x32.png consumer engagement - FinTecBuzz https://fintecbuzz.com 32 32 How ESG Aligns with Changing Consumer Values: The Rise of Socially Responsible Consumers https://fintecbuzz.com/environmental-social-corporate-governance-esg/ Thu, 25 Jul 2024 13:00:26 +0000 https://fintecbuzz.com/?p=62526 Discover how ESG strategies align with evolving consumer values and the rise of socially responsible consumers driving market trends.

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Table of contents:

1. Understanding ESG Investing
2. The Rise of Socially Responsible Consumers
2.1 Demographic Shifts
2.2 Consumer Values and Expectations
3. The Link Between ESG and Consumer Behavior
3.1 Consumer Awareness and Education
3.2 Brand Loyalty and Trust
3.3 Case Studies
4. The Impact of ESG on Business Performance
4.1 Financial Benefits:
4.2 Market Share and Competitive Advantage:
4.3 Long-term Sustainability:
5. Conclusion: A Symbiotic Relationship

Consumers are changing. Today it is no longer a matter of who has offered a cheaper product or a ‘better’ product but consumers are conscious of how those products are being produced, and the role that these companies play in the world. his shift towards socially responsible consumption has sparked a parallel movement in investing: Environment Social Governance – ESG.

Effectively, ESG investing considers firms through a celluloid of environmental, social, and governance issues in response to the values of these wary buyers. It’s a win-win: the organizations that aim for good results concerning people and the environment are also supported by like-minded customers and investors which, in return, bring positive outcomes to both aspects.

1. Understanding ESG Investing
Another term that has received considerable attention is ESG investing, a framework that measures the organization’s Environmental, Social, and Governance performances. This investment strategy aims at evaluating a business entity’s long-term worth by incorporating social and ecological factors into the equation apart from the financial indicators as usual practice.

  • Environmental (E) aspect relates to the responsibilities of a company with regard to the environment, such as energy consumption, carbon emissions, the disposal and usage of natural resources.
  • Social (S) elements entail organizational relationships with employees, customers, and communities. These are the labor issues, rights issues, and the social issue of the community involvement.
  • Governance (G) factors assess the board of directors, executive management, corporate culture, and shareholder relation.

The origin of ESG investing can be associated with socially responsible investing (SRI) of the 1960s and 1970s. But over the past few decades, it has become more assertive and relies on quantitative factors, which is referred to as ESG investing. Some of the important milestones are, the upgrading of ESG risks and opportunities in analysts’ conventional models, the emergence of ESG rating agencies, and more focus on sustainable reporting by the regulators.
There are already regulationss that have defined what ESG investing is going through or that will provide classification for sustainable economic activities, like the EU Taxonomy, and there is also the Sustainable Finance Disclosure Regulation (SFDR) that requires increased transparency of the companies that engage in ESG investing.

2. The Rise of Socially Responsible Consumers
There is mounting evidence of a paradigm shift in the behavior of these consumers particularly because of the emergence of a new culture of socially and environmentally sensitive citizens. It also has a concepts and priorities shift which has important significance for business, providing an example of perceptions born by new consumer values.

2.1 Demographic Shifts
Consumers across the globe are increasingly being driven by the millennials and Generation Z consumers. These cohorts are noted to be very much conscious in issues of social and ecological responsibility. Born with a social conscience due to the current awareness on climate change, equity, and ethics, this generation wants the companies they deal with to be socially responsible.

2.2 Consumer Values and Expectations
Contemporary consumers are aware of several ethical factors that should be taken into consideration when buying products. Corporate responsibility, clear supply chain, and fairness in doing business are key factors that define the requirement. They look for brands that would reflect a genuine policy for protection of the environment, employment of right labor and political correctness among others.
For instance, the consumer will prefer products that are packed less or those packagings that are made from recyclable materials. Some of them want to know more about origin of the purchased products while others are also supporting the brands that consider the ethical issues of supply chain. Besides, there is an increased demand for the business to publish its operations and effects on the society and the external environment.
These shifts in consumer behavior point to the significance of ESG (Environmental, Social, and Governance) criteria for organisations that want to grow in the current economy.

3. The Link Between ESG and Consumer Behavior
There is a clear shift due to consumers’ increased awareness and understanding that conscious consumption is the way forward. Such a change to the consumer profile is highly significant for companies if one wants to grasp the interactions between ESG factors and consumers.

3.1 Consumer Awareness and Education
The awareness regarding environmental and social issues has encouraged the consumers with tools to make better decisions. The information through the media, through the availability of information on the digital platforms, has been vital in informing consumers of the consequences of corporate activities. Hence, people have started paying more attention to the actions of a brand and pressure has been mounted on brands to deliver accountability.

3.2 Brand Loyalty and Trust
Companies demonstrating a genuine commitment to ESG principles are fostering stronger bonds with consumers. By aligning their values with societal concerns, these businesses build trust and loyalty. Consumers are more likely to support brands that share their ethical convictions, creating a powerful competitive advantage.

3.3 Case Studies
Numerous companies have successfully integrated ESG practices into their business models, reaping the rewards of enhanced consumer perception and loyalty. For instance, Patagonia’s unwavering commitment to environmental sustainability has cultivated a dedicated customer base. Similarly, companies like Unilever and Ben & Jerry’s have leveraged their ESG initiatives to drive positive brand image and consumer engagement.
These examples underscore the correlation between ESG and consumer behavior, highlighting the importance of incorporating ESG principles into a holistic business strategy.

4. The Impact of ESG on Business Performance
Beyond ethical considerations, embracing ESG principles offers tangible business advantages. Companies demonstrating strong ESG practices often reap significant rewards.

4.1 Financial Benefits:
ESG performance can directly influence a company’s financial health. By mitigating environmental risks, optimizing operational efficiency, and fostering positive social impact, businesses can reduce costs, enhance profitability, and attract investors seeking sustainable investments.

4.2 Market Share and Competitive Advantage:
In today’s consumer-driven market, aligning with ESG values is essential for gaining a competitive edge. Consumers increasingly prioritize brands with a strong social and environmental conscience. By demonstrating a commitment to sustainability and ethical practices, companies can build stronger brand loyalty, attract new customers, and differentiate themselves from competitors.

4.3 Long-term Sustainability:
ESG is not merely a trend but a fundamental shift in business operations. By integrating ESG principles into core strategies, companies ensure long-term resilience and adaptability. This forward-thinking approach not only benefits the planet but also positions businesses for sustained growth and success in an evolving marketplace.

5. Conclusion: A Symbiotic Relationship
The convergence of ESG investing and socially conscious consumerism marks a pivotal shift in the business landscape. As consumers increasingly prioritize sustainability, ethics, and transparency, companies that embrace ESG principles gain a significant competitive advantage. This symbiotic relationship is not merely a trend but a fundamental transformation in how businesses operate and how consumers make choices.
By aligning their values with those of their customers, companies can build enduring brand loyalty, enhance their reputation, and contribute to a more sustainable future. As the world becomes more interconnected and aware of the environmental and social challenges we face, ESG will continue to be a driving force in shaping the business landscape.

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FinTech Interview with Shri Santhanam, EVP and GM, Global Analytics and AI Products at Experian https://fintecbuzz.com/fintech-interview-with-shri-sanathanam/ Wed, 10 Apr 2024 13:30:04 +0000 https://fintecbuzz.com/?p=58058

Explore how generative AI is revolutionizing finance with trends like increased productivity and enhanced consumer experiences.

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Shri Santhanam,EVP and GM, Global Analytics and AI Products at Experian

Shri leads Analytics and Artificial Intelligence at Experian and is responsible for the Analytics business in North America as well as the Generative AI agenda. His focus is on using Analytics and Artificial intelligence to maximize business and consumer impact. This includes productizing Analytics to drive scalable growth, commercializing Analytics to maximize financial impact, and using AI to drive productivity and enhance products. Prior to Experian, Shri was a senior partner at Oliver Wyman where he was a founding member of Oliver Wyman Labs (Digital and Analytics business). The practice concentrated on impacting large financial institutions with Silicon Valley-style technology and analytics. Shri holds a Master’s degree in Engineering from Stanford University.

Shri, can you please share with us a brief overview of your professional journey, particularly how you transitioned into your current role as EVP and GM of Global Analytics and AI Products at Experian?

I’m an engineer by education. I was hired into the world of management consulting as firms were trying to turn engineers into consulting partners. At the start of my career, I focused on bringing advanced analytics technology and AI to the retail sector. Post financial crisis, I transitioned to delivering Silicon Valley-style tech, analytics, and AI to financial services. About five years ago, Experian approached me to use AI and analytics to drive our mission around financial inclusion. My role at Experian is to amplify the impact of our data with businesses and consumers through analytics and AI.

As a leader in the field of analytics and AI products, what personal strategies or approaches do you find most effective in ensuring the successful integration of generative AI within financial institutions?

The balance between seizing generative AI opportunities and managing associated risks is critical in regulated industries like financial services. Right now, our priority with financial institutions involves three strategies. First, we encourage the use of generative AI for grassroots innovation that supports greater productivity in a safe and responsible way. Second, it’s important to set up the right corporate governance for vetting use cases, connecting cross-functional areas such as risk management, legal, technologists and engineers, customer support, and others. Third, tying all AI investments to tangible, measurable business impacts for our customers or consumers.

In your opinion, what are the primary benefits that financial institutions can derive from utilizing generative AI in their operations? How does it contribute to enhancing fintech products, efficiency, and overall quality?

Generative AI’s early benefits are predominantly in productivity and improving core processes, speeding up the time to perform traditionally manual or cumbersome efforts. This includes enhancing consumer engagement, especially in the areas of information delivery for things like credit education, and automating internal manual, repetitive processes that are historically prone to error. More recently, we are seeing engineers relying on generative AI to help accelerate their development of new products and services through querying best practices in coding. These improvements allow businesses to operate more efficiently, benefiting both the institutions and their consumers.

What are some of the potential challenges or obstacles that financial institutions may encounter when integrating generative AI into their systems? How can these challenges be addressed or mitigated?

The primary challenges include ensuring privacy, integrity, and adherence to regulatory policies during the product or service development process. It’s crucial to have the right governance in place to ensure that software coding is accurate and tested, that data-driven analytics and models provide the right information at enterprise scale and are not biased or don’t produce hallucinations, and that there are always “humans in the loop” to serve as the ultimate decision-makers.

Considering your extensive experience, what advice would you offer to banks, credit unions, and fintech organizations that are exploring the implementation of generative AI? Are there any key considerations they should keep in mind?

We are seeing the democratization of capabilities in the financial services sector, with small to mid-sized financial institutions employing machine learning-driven models and generative AI to automate their decisioning and drive productivity. One consideration is to use generative AI to support credit education of their customers through online instructive forums and streamlining customer support on questions regarding products and services. Another is customer engagement for standard processes such as loan applications and other common service functions.

Given the increasing emphasis on risk management in the financial sector, how can generative AI be leveraged to effectively balance risk and innovation within these institutions?

In regulated industries such as financial services, governance over generative AI and its outputs is key. The same regulatory standards that apply to manual risk-control processes must be applied to the development of generative AI agents, prompts, and training associated with both of them. Adhering to this regulatory standard will require active dialogue across departmental silos, working backwards from specific outcomes that you want generative AI to produce, then setting in place the right people and technology infrastructure to make it happen.

Can you provide examples of successful implementations of generative AI in the financial industry that have achieved a balance between risk mitigation and innovation? What are the key factors contributing to their success?

We’ve successfully deployed generative AI tools for a large number of our engineers, enhancing productivity in product and service development. Additionally, we’re using generative AI in customer engagement, particularly in credit education, through chatbots and other hyper-personalization tools to engage consumers, which are in production and being evaluated for broader use.

As the landscape of AI continues to evolve rapidly, what emerging trends or advancements do you foresee having the most significant impact on the future of generative AI in financial institutions?

There are three macro trends that we’re following closely. First, with financial institutions, the market is seeing elevated interest rates, which creates a degree of volatility, uncertainty, and cost pressure among financial institutions. As a result, many of them use generative AI to increase internal productivity across multiple operational systems, mostly notably customer support, marketing, and sales.
Second, like the digital transformation that occurred in retail where consumers now expect faster, smoother, and more personalized experiences, financial services – especially banking and lending – have the same consumer expectations. Generative AI is empowering this transformation, and the technology is driving greater inclusion and accessibility.
Third, a lot of solutions providers are developing front-end interfaces that dramatically simplify the use of generative AI for non-technical users. There’s a fun industry saying here: “English is becoming the new programming language.” This ease of use will dramatically accelerate the business and consumer adoption of generative AI in financial services.

Are there any lessons learned or insights gained from past projects involving generative AI that you believe would be valuable for our audience to consider as valuable lessons or takeaways?

I’ve been impressed both by the pace at which the AI-driven innovation has moved and how the software ecosystem around it has responded in bringing tools and capabilities to the market. In my two-and-a-half decades working in this space, I haven’t seen technology and solutions move at this pace, and financial services companies of all sizes need to plan how they respond to the promise that this emerging technology holds.
Also, financial services companies must carefully evaluate how the products and solutions they develop with generative AI can scale at an enterprise level. For example, conceptually, it’s not that hard to stand up an AI-enabled online customer service agent. But to do it for the expansive list of possible consumer needs and uses, and have it perform consistently, will require competency in developing the technology for millions of different use cases as well as addressing the complexity of covering all the possible questions.

What concluding thoughts or key messages would you like to impart to our audience regarding the strategic utilization of generative AI in the financial sector?

The potential of generative AI in driving productivity and creating new products and business models is tremendous. It’s important for financial institutions to embrace this technology responsibly, ensuring a balance between innovation and risk management to maintain consumer trust and comply with regulatory requirements.

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Stash Announces Liza Landsman As Its New CEO https://fintecbuzz.com/stash-announces-liza-landsman-as-its-new-ceo/ https://fintecbuzz.com/stash-announces-liza-landsman-as-its-new-ceo/?noamp=mobile#respond Mon, 06 Feb 2023 17:00:52 +0000 https://fintecbuzz.com/?p=41315 The e-commerce innovator, powerhouse operator, and elite venture investor was handpicked for the top spot by co-founders Brandon Krieg and Ed Robinson

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Stash, the pioneering fintech that empowers millions of Americans to invest and save, today announces Liza Landsman, one of the country’s leading executives and investors in e-commerce and consumer finance, as its new CEO effective February 6, 2023.

Landsman, an independent Stash board member since mid-2022, has served in key operations and leadership roles at Jet.com, Citigroup, BlackRock, and E*TRADE, where she guided the companies through seismic change and record-breaking growth in consumer engagement and profitability. Until last week she served as a General Partner at NEA, a global venture capital firm with more than $25 billion in assets under management1, during an era of unprecedented impact across industries including fintech and consumer products.

“Stash empowers millions of Americans to manage and grow their wealth. Its simple-yet-disruptive subscription platform, rooted in a deep commitment to the financial well-being of our customers, is exactly what millions of everyday Americans need today,” said Landsman. “I’m so appreciative to both Brandon and Ed and excited to work with the incredible team at Stash. Together they’ve built a rock-solid foundation.”

Landsman, whose storied career includes leading Jet.com from launch to its $3.3 billion acquisition by Wal-Mart, joins Stash at a transformative moment for the company and its more than 2 million subscribers. Despite inflation fears and a looming recession, revenue surpassed $100 million and grew nearly 30% last year, with customers setting aside almost $3 billion on the platform thanks to regular and automatic deposits of $30 on average2.

“Liza is the right person to lead Stash as we continue to hit major revenue and customer milestones and evolve the business. Her experience and knowledge of consumer products, e-commerce, and fintech is ideally suited to the opportunities ahead,” said Brandon Krieg. “Liza brings the scale and expertise needed to help Stash continue on its trajectory, and I am thrilled to support her as she takes the reins as CEO of Stash and delivers even more value for our subscribers. She has been so insightful in just the few months she has been working with us.”

Beginning today, Krieg will step into the role of Co-Founder and Head of Business Development and focus on new areas of the business; Ed Robinson, Stash Co-Founder and President, will retain his title and drive execution.

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