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      Report

      Win with Conversations

      Win with Conversations

      Transforming consumer engagement in India with generative AI-powered conversational commerce

      Von Arpan Sheth, Sriwatsan Krishnan, Navneet Chahal, Kathleen Tandy, und Sandhya Devanathan

      • Min. Lesezeit
      }

      Report

      Win with Conversations
      en

      Executive summary

      Building personalized relationships at scale

      India is seeing rapid growth in digitization, with more than 650 million Indians now active on social media (e.g., Facebook, Instagram, and YouTube) and messaging platforms (e.g., WhatsApp). Despite this massive engagement, only 30% of users (approximately 200 million) shop online. A similar story unfolds among small merchants, with only 15% (approximately 5 million) of the 30 million formalized small businesses (registered on the Udyam portal) selling online. With most future online shoppers and sellers already present within the digital funnel, India presents a significant untapped opportunity.

      Written in collaboration with

      Written in collaboration with

      meta-logo.png


      Most existing and upcoming apps across products and services are targeted toward the 200 million savvy digital users. However, app adoption is relatively limited beyond the top categories (social media and messaging, entertainment, Unified Payments Interface [UPI], and horizontal marketplaces). Even in high-frequency categories (e.g., grocery, banking, and mobility), maximum monthly active users top out at 35 million. There are early indications of app fatigue, with 65% of savvy digital users finding app downloads frustrating and 40% abandoning a purchase if pushed to install apps. The next 450 million non-savvy digital users are still not ready to adopt apps, driven by a preference for assisted shopping, limited phone storage, and difficulty navigating apps. Consequently, the app-led model will likely plateau beyond the top 50 million to 100 million customers for most business-specific apps, necessitating businesses to proactively seek new avenues for customer acquisition and sustained engagement.

      Implementing chat-based assisted journeys, known as conversational journeys, on platforms with high user engagement (e.g., social media and messaging) can be key for businesses to engage and facilitate online transactions. This is already in motion—most consumers are informally engaging with both small and large businesses (e.g., messaging carpenters, doctors, bank representatives, and direct-to-consumer brands) on social media and messaging platforms. Going forward, more than 50% of the surveyed users cited that they would strongly prefer to transact via conversational journeys across industry verticals, especially for high frequency use cases (e.g., accessing bank statements, obtaining travel details, paying utility bills, and booking liquefied petroleum gas cylinders).

      However, scaling these humanlike conversational journeys has been challenging for both large and small enterprises. While larger enterprises have automated simple use cases through artificial intelligence (AI) chatbots (e.g., raising service requests and order tracking), handling complex or urgent interactions still requires human involvement. Consequently, crafting and scaling end-to-end journeys cost effectively across all key use cases remains a challenge for large enterprises. Conversely, small businesses, constrained by resources and expertise, are cautious about investing in automation until they achieve scale, relying on manual approaches. Thus, a democratized, affordable, and intelligent AI solution is imperative for the seamless implementation of end-to-end journeys.

      With the advent of generative AI-powered assistants and ease of integration with conversational platforms, these conversational journeys can now be implemented at scale with much faster deployment cycles. This is driven by the capabilities of generative AI assistants, enabling contextualized, humanlike conversations with reasoning ability, multimodal support, and vernacular language proficiency. The investments by leading tech players to democratize access to generative AI platforms and cultivate an ecosystem of offerings will further fuel this new era of consumer engagement.

      The conversational future

      Today, businesses in India are engaging with customers across a plethora of channels, ranging from SMS and email to contact centers, websites, and apps, with most of the spending going to traditional channels (SMS, email, and interactive voice response [IVR]). However, businesses are increasingly questioning the effectiveness and return on investment (ROI) of traditional channels due to rising spam and low engagement rates. Hence, businesses are actively experimenting with conversational platforms across various touchpoints in the customer journey.

      Large enterprises see many benefits from using conversational platforms, such as high engagement rates and personalized interactions at scale. As a result, more than 60% of enterprises are planning to increase spending on conversational platforms over the next three to four years, focusing on building end-to-end journeys. Generative AI emerges as a top-of-mind priority for businesses, with approximately 95% of surveyed enterprises in India demonstrating familiarity and more than 80% planning to invest in generative AI-based solutions within the next one to two years.

      Small and medium businesses (SMBs), in particular, face a series of pain points across the customer journey, including heavy reliance on offline marketing channels. This leads to limited reach for customer acquisition and challenges in establishing digital storefronts and managing payments. Conversational platforms can be a powerful solution, addressing key challenges related to discoverability, commerce, payments, and communication. Early signs of success are already evident, with 15 million SMBs using WhatsApp for Business to create digital presence and drive traffic through click-to-chat ads.

      With the rising adoption of conversational platforms across large and small enterprises and the transformative power of generative AI, businesses will focus on driving purchases and transactions (e.g., ride-hailing, loan disbursals, and grocery purchases) through conversational journeys known as conversational commerce. Large online platforms will spearhead the adoption of conversation journeys by developing proprietary chatbots and building AI-assisted journeys on conversational platforms. However, offline players (organized and unorganized SMBs) will drive a significant portion of conversational commerce, as existing conversational platforms will empower these businesses  to leapfrog to digital commerce, potentially bypassing the traditional marketplace seller route. Given that service journeys (e.g., utility bill payments, travel, and ridesharing are inherently less complex than product transactions (e.g., grocery purchases and online shopping), service commerce will accelerate user adoption and drive transaction volume on conversational platforms. Conversational commerce will thrive in domains characterized by frequent transactions (e.g., utility bill payments) or purchases (e.g., grocery).

      The winning playbook

      To stake a claim in this opportunity, businesses must follow six key imperatives to craft a winning playbook:

      1. Conversations vs. communication: Reimagine end-to-end customer journeys, interweaving a seamless thread of conversation across every touchpoint
      2. Personalization at scale: Harness the power of generative AI to deliver highly personalized experiences across each customer interaction
      3. New markers of trust: Establish credibility through digital markers of trust, signaled through hyper-personalization, to persuade customers to engage and make purchases through a chat-based interface
      4. Generative AI at core: Embed generative AI in the organization’s DNA to create a competitive advantage and stay ahead of the curve
      5. Scale experimentation as a competitive moat: Start experimenting across diverse journeys and adopt an agile “test and learn” mindset to identify and scale the most fitting use cases within a specific context
      6. Return on conversations: Define a new and clear measurement framework based on business objectives to gauge returns on end-to-end conversational journeys

      The vanguard of generative AI adoption will secure a lasting competitive advantage over time, with their scale of hyper-personalization and strength built by running agile generative AI experiments. Businesses that can implement and scale end-to-end hyper-personalized conversational journeys will take the prize. The time is now.

      Figure 1
      We surveyed 7,800 end users (consumers) and 150 enterprises and interviewed more than 25 senior executives across verticals from India as part of the study
      We surveyed 7,800 end users (consumers) and 150 enterprises and interviewed more than 25 senior executives across verticals from India as part of the study
      We surveyed 7,800 end users (consumers) and 150 enterprises and interviewed more than 25 senior executives across verticals from India as part of the study

      Building personalized relationships at scale

      As in the past with Internet and app proliferation, the current generative AI-driven disruptions in the tech landscape are likely to spark pivotal changes in the consumer engagement model. More than 650 million Indians are already on social media and messaging platforms, many engaging informally with businesses across these channels. They have also shown a high preference to shift to conversation-centric journeys for day-to-day use cases. With generative AI-empowered tools potentially changing user interactions to be more multimodal, vernacular, and intuitive (i.e., humanlike), the consumer engagement model will evolve rapidly to more conversation-centric user journeys designed by businesses.

      Figure 2
      India is at an inflection point—most of the future online shoppers and sellers are already within the digital funnel, signaling a large, untapped opportunity
      India is at an inflection point—most of the future online shoppers and sellers are already within the digital funnel, signaling a large, untapped opportunity
      India is at an inflection point—most of the future online shoppers and sellers are already within the digital funnel, signaling a large, untapped opportunity
      Figure 3
      While most of the apps across products and services are targeted toward approximately 200 million savvy digital users, there is limited success in app adoption, with usage restricted to a few categories
      While most of the apps across products and services are targeted toward approximately 200 million savvy digital users, there is limited success in app adoption, with usage restricted to a few categories
      While most of the apps across products and services are targeted toward approximately 200 million savvy digital users, there is limited success in app adoption, with usage restricted to a few categories
      Figure 4
      Early signs of app saturation evident in the savvy digital user base—users across geographic tiers likely to abandon purchases if pushed to install
      Early signs of app saturation evident in the savvy digital user base—users across geographic tiers likely to abandon purchases if pushed to install
      Early signs of app saturation evident in the savvy digital user base—users across geographic tiers likely to abandon purchases if pushed to install
      Figure 5
      The next approximately 450 million non-savvy digital users actively consume content online. However, barriers to transacting/engaging with businesses through apps exist
      The next approximately 450 million non-savvy digital users actively consume content online. However, barriers to transacting/engaging with businesses through apps exist
      The next approximately 450 million non-savvy digital users actively consume content online. However, barriers to transacting/engaging with businesses through apps exist
      Figure 6
      Conversational journeys can be a key unlock—most users are already engaging with both small and large businesses informally on these platforms
      Conversational journeys can be a key unlock—most users are already engaging with both small and large businesses informally on these platforms
      Conversational journeys can be a key unlock—most users are already engaging with both small and large businesses informally on these platforms
      Figure 7
      Across both savvy and non-savvy digital users, 50%–60% have shown high preference to move to conversational journeys for day-to-day use cases across verticals
      Across both savvy and non-savvy digital users, 50%–60% have shown high preference to move to conversational journeys for day-to-day use cases across verticals
      Across both savvy and non-savvy digital users, 50%–60% have shown high preference to move to conversational journeys for day-to-day use cases across verticals
      Figure 8
      Generative AI has started enabling businesses to build contextualized conversational journeys at scale with accelerated deployment
      Generative AI has started enabling businesses to build contextualized conversational journeys at scale with accelerated deployment
      Generative AI has started enabling businesses to build contextualized conversational journeys at scale with accelerated deployment
      Figure 9
      Generative AI-driven interactions can drive highly personalized and seamless end-to-end purchase journeys
      Generative AI-driven interactions can drive highly personalized and seamless end-to-end purchase journeys
      Generative AI-driven interactions can drive highly personalized and seamless end-to-end purchase journeys

      The conversational future

      Businesses continue to engage consumers via traditional channels, such as SMS, email, and IVR, but they are actively looking for more effective alternatives with higher ROI and engagement. Large and small businesses are actively experimenting with conversational platforms and witnessing tangible benefits. With rising adoption and a high preference for implementing end-to-end conversational user journeys, we expect that these interactions between customers and businesses will redefine commerce.

      Figure 10
      The current customer engagement model is deeply fragmented
      The current customer engagement model is deeply fragmented
      The current customer engagement model is deeply fragmented
      Figure 11
      Currently, business messaging spends are primarily on traditional channels, with increasingly unclear effectiveness and ROI
      Currently, business messaging spends are primarily on traditional channels, with increasingly unclear effectiveness and ROI
      Currently, business messaging spends are primarily on traditional channels, with increasingly unclear effectiveness and ROI
      Figure 12
      Hence, enterprises are actively experimenting with conversational platforms across the customer journey
      Hence, enterprises are actively experimenting with conversational platforms across the customer journey
      Hence, enterprises are actively experimenting with conversational platforms across the customer journey
      Figure 13
      Large enterprises prefer to leverage conversational platforms for marketing and promotion-centric use cases, followed by customer service and updates
      Large enterprises prefer to leverage conversational platforms for marketing and promotion-centric use cases, followed by customer service and updates
      Large enterprises prefer to leverage conversational platforms for marketing and promotion-centric use cases, followed by customer service and updates
      Figure 14
      Large enterprises see a multitude of benefits and are planning to amplify their investments on conversational platforms
      Large enterprises see a multitude of benefits and are planning to amplify their investments on conversational platforms
      Large enterprises see a multitude of benefits and are planning to amplify their investments on conversational platforms
      Figure 15
      Most large enterprises are planning to invest in delivering end-to-end journeys through generative AI-powered conversational platforms
      Most large enterprises are planning to invest in delivering end-to-end journeys through generative AI-powered conversational platforms
      Most large enterprises are planning to invest in delivering end-to-end journeys through generative AI-powered conversational platforms
      Figure 16
      Enterprises are already witnessing tangible benefits of the power of conversations: PolicyBazaar boosted conversions through assisted journeys
      Enterprises are already witnessing tangible benefits of the power of conversations: PolicyBazaar boosted conversions through assisted journeys
      Enterprises are already witnessing tangible benefits of the power of conversations: PolicyBazaar boosted conversions through assisted journeys
      Figure 17
      Enterprises are already witnessing tangible benefits of the power of conversations: Cars24 boosted customer engagement across the purchase journey
      Enterprises are already witnessing tangible benefits of the power of conversations: Cars24 boosted customer engagement across the purchase journey
      Enterprises are already witnessing tangible benefits of the power of conversations: Cars24 boosted customer engagement across the purchase journey
      Figure 18
      The impact of conversational platforms will not be limited only to large enterprises—it will also transform the way small businesses engage and interact with customers
      The impact of conversational platforms will not be limited only to large enterprises—it will also transform the way small businesses engage and interact with customers
      The impact of conversational platforms will not be limited only to large enterprises—it will also transform the way small businesses engage and interact with customers
      Figure 19
      Conversational platforms can be a critical unlock for SMBs, addressing key pain points and empowering them to rapidly integrate into the conversational economy
      Conversational platforms can be a critical unlock for SMBs, addressing key pain points and empowering them to rapidly integrate into the conversational economy
      Conversational platforms can be a critical unlock for SMBs, addressing key pain points and empowering them to rapidly integrate into the conversational economy
      Figure 20
      Across industries, online platforms will lead the adoption of conversational journeys and organized players and SMBs will drive growth, powered by conversational platforms
      Across industries, online platforms will lead the adoption of conversational journeys and organized players and SMBs will drive growth, powered by conversational platforms
      Across industries, online platforms will lead the adoption of conversational journeys and organized players and SMBs will drive growth, powered by conversational platforms

      The winning playbook

      Every business can tap into the power of conversation to win customers and be a part of conversational commerce. Businesses need to embrace two key imperatives—reimagining every customer touchpoint across the customer journey to deliver a hyper-personalized experience and reorienting the operating model to leverage the power of generative AI and identify conversations that matter to customers while generating returns for the business.

      Figure 21
      Six key imperatives to craft a winning playbook
      Six key imperatives to craft a winning playbook
      Six key imperatives to craft a winning playbook
      Figure 22
      “Conversations” vs. communication: Customer journeys today cut across multiple touchpoints—businesses need to weave a single thread of conversation
      “Conversations” vs. communication: Customer journeys today cut across multiple touchpoints—businesses need to weave a single thread of conversation
      “Conversations” vs. communication: Customer journeys today cut across multiple touchpoints—businesses need to weave a single thread of conversation
      Figure 23
      Personalization at scale: Deliver highly personalized experiences across each customer interaction
      Personalization at scale: Deliver highly personalized experiences across each customer interaction
      Personalization at scale: Deliver highly personalized experiences across each customer interaction
      Figure 24
      New markers of trust: Establish authenticity and credibility through digital markers of trust and hyper-personalized, relevant interactions
      New markers of trust: Establish authenticity and credibility through digital markers of trust and hyper-personalized, relevant interactions
      New markers of trust: Establish authenticity and credibility through digital markers of trust and hyper-personalized, relevant interactions
      Figure 25
      Generative AI at core: Generative AI offers a unique opportunity for early adopters to establish a competitive advantage and take the lead in defining the new rules of customer engagement
      Generative AI at core: Generative AI offers a unique opportunity for early adopters to establish a competitive advantage and take the lead in defining the new rules of customer engagement
      Generative AI at core: Generative AI offers a unique opportunity for early adopters to establish a competitive advantage and take the lead in defining the new rules of customer engagement
      Figure 26
      Scale experimentation as a competitive moat: Generative AI is so nascent, experimentation is the only way to identify right use cases and build a competitive moat
      Scale experimentation as a competitive moat: Generative AI is so nascent, experimentation is the only way to identify right use cases and build a competitive moat
      Scale experimentation as a competitive moat: Generative AI is so nascent, experimentation is the only way to identify right use cases and build a competitive moat
      Figure 27
      “RoC”: Return on Conversations: Define a clear measurement strategy and deliver a seamless end-to-end journey on conversational platforms to maximize returns
      “RoC”: Return on Conversations: Define a clear measurement strategy and deliver a seamless end-to-end journey on conversational platforms to maximize returns
      “RoC”: Return on Conversations: Define a clear measurement strategy and deliver a seamless end-to-end journey on conversational platforms to maximize returns
      • Methodology

        Win with Conversations is a research report jointly developed by Bain & Company and Meta. The research leverages Bain analysis, primary and secondary research, market participant interviews, and industry sources.

        The “Bain & Meta Conversational Commerce Survey” is a Bain & Company and Meta commissioned survey of 7,800 users and 150 businesses from India. The survey was conducted in October 2023 and more than 25 senior executives from large and mid-market enterprises across CPR, BFSI, auto, and travel were a part of the study.

        This survey is referenced as “Bain & Meta Conversational Commerce Survey” in this report, wherever applicable.

      • Acknowledgments

        We sincerely thank the Meta team, including Ravi Garg, Amrita Ray Chaku, Devendranath Bangi, and Rohant Shyam Rammohan, and the Bain India team, including Abhinav Gupta, Prachi Gupta, Yashas Bhat, Anant Gupta, and Geetika Mathur, for their in-depth analysis and insight generation. We also wish to thank Sitara Achreja for her editorial support. The team would like to thank all the customers, companies, executives, employees, and experts who shared their perspectives to develop this report.

      About Meta

      Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

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