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Mumbai: India's digital marketing ecosystem is entering a phase where the competitive advantage is shifting from simply being present across digital channels to orchestrating increasingly complex consumer journeys across media, commerce, search, data and AI. That is the central message of DCODE 2.0 - Your Guide to Digital Marketing 2026, the 568-page digital marketing playbook developed collaboratively by DS Group, WPP Media and MICA - The School of Ideas.

<nh-chunk-delimit /> Building on the first edition, DCODE 2.0 attempts to capture the structural changes taking place across India&apos;s digital ecosystem, with AI emerging as the common layer across consumer understanding, content, media, commerce, search, analytics and measurement. The playbook also introduces the Paid, Owned and Earned (POE) framework as a way of understanding how brands need to operate across an increasingly interconnected consumer journey. The report&apos;s starting point is the scale of India&apos;s digital opportunity. It estimates that the country has approximately 130 crore mobile subscribers, 96 crore internet users, 42 crore users of AI/LLM platforms, 36 crore online shoppers and 20 crore CTV users. Internet penetration is estimated at 65%, while AI usage, based on the playbook&apos;s definition of users of any LLM, is already at 29%. Digital crosses the 60% mark of AdEx One of the strongest signals in DCODE 2.0 is its assessment of India&apos;s advertising economy. The playbook estimates total Indian AdEx to rise from ₹1.85 lakh crore in 2025 to ₹2 lakh crore in 2026, representing estimated growth of 9.7%. Digital accounts for 60% of 2025 AdEx, with the segment estimated to grow 11.1% in 2026. Television accounts for 26%, print 10%, OOH 2%, radio/audio 1.2% and cinema 0.6%. The report describes this as a structural turning point, with India now a digital-majority advertising economy. Importantly, however, DCODE 2.0 points out that the boundaries between digital and traditional media are becoming increasingly blurred. Its 2026 classification includes digital extensions such as CTV, broadcaster OTT, digital editions of publishers, streaming audio and DOOH. This suggests that the digital shift is not simply about advertising moving from television or print into social and search. Instead, digital capabilities are increasingly embedded within the wider media ecosystem, influencing how campaigns are planned, bought, delivered and measured. Television, meanwhile, is forecast to remain broadly flat in absolute terms, while print continues to function as a selective, credibility-led medium. OOH is identified as the traditional format showing structural resilience, particularly in premium urban inventory. The implication is that traditional media is moving from being the primary growth engine towards a more tactical role within integrated media plans. Retail media and quick commerce emerge as major growth engines DCODE 2.0 identifies four major drivers behind the next phase of advertising growth: retail media and quick commerce, video, performance marketing, and AI and automation. Retail media is identified as one of the fastest-growing digital channels and is estimated in the playbook to account for nearly 20% of Digital AdEx. Quick-commerce advertising, meanwhile, is described as growing at approximately 50%. This reflects one of the most important structural changes in the marketing ecosystem: commerce platforms are increasingly becoming media platforms. Amazon, Flipkart, Blinkit, Zepto and other commerce environments are no longer simply transaction destinations. They increasingly function as discovery, search, advertising, data and conversion environments simultaneously. The playbook consequently treats ecommerce marketing as a discipline in its own right rather than simply an extension of performance advertising. From TV planning to screen planning Video is another area undergoing a structural transition. DCODE 2.0 argues that video planning is moving from TV planning to screen planning, with mobile and CTV becoming increasingly important video environments. The playbook projects CTV AdEx to exceed ₹8,000 crore by 2026, reflecting the increasing convergence between television-style premium video and digital targeting, measurement and buying capabilities. The broader implication is that the old distinction between &quot;television&quot; and &quot;digital video&quot; is becoming less useful. Marketers increasingly need to think about the consumer&apos;s total screen exposure rather than individual media silos. The consumer journey is becoming a loop, not a funnel Perhaps the most fundamental conceptual shift in DCODE 2.0 is its treatment of the consumer journey. The report describes today&apos;s consumer journey as non-linear, multi-touch and always-connected. Consumers move between search, social media, marketplaces, apps, websites and offline stores, often moving back and forth between discovery, evaluation, decision and post-purchase. The traditional funnel therefore remains useful as a planning framework, but it no longer describes actual consumer behaviour. DCODE 2.0 recommends mapping journeys as loops rather than funnels, with each interaction influencing subsequent interactions. Discovery can begin with a social feed, creator or search query; evaluation can happen on a marketplace through ratings and reviews; purchase may take place on a brand website or quick-commerce platform; and the post-purchase experience can generate reviews, UGC and referrals that feed back into future discovery. The report consequently places considerable emphasis on omnichannel consistency and hyper-personalisation, connecting online and offline, social and commerce, search and marketplaces, and apps/websites with physical stores. Paid, Owned and Earned become one connected system DCODE 2.0&apos;s adoption of the POE framework is another defining feature. Paid media is positioned as the mechanism for reach and acceleration, Owned media as the environment for experience and conversion, and Earned media as the source of trust and influence. The playbook argues that these are not three independent marketing strategies. Paid creates visibility and traffic; owned environments provide information, experience and conversion opportunities; and earned media through reviews, UGC and recommendations builds credibility. The convergence becomes particularly visible in commerce. A creator&apos;s organic recommendation can generate search behaviour, which can lead to a marketplace visit, where paid retail media reinforces discovery and reviews provide the trust required for conversion. For marketers, this means campaign planning needs to increasingly consider the interaction between channels rather than the performance of individual channels in isolation. Performance marketing moves beyond the lower funnel DCODE 2.0 also challenges the notion that performance marketing should be synonymous with immediate conversion. The playbook distinguishes between a performance-only model and a brand-plus-performance model. According to the framework, a purely performance-led strategy primarily captures existing demand. Brand investment, by contrast, creates future demand that performance marketing can subsequently convert. The recommended conceptual approach is therefore a self-reinforcing cycle in which brand building expands the pool of potential customers while performance marketing converts demand efficiently. The playbook also outlines both top-down and bottom-up approaches to performance budget allocation, using historical ROAS, sales targets, conversion rates and media costs to determine investment levels. It further recommends that ecommerce investment follow the consumer&apos;s intent journey, beginning with retail readiness and high-intent environments before expanding into broader off-retail media. Ecommerce growth starts with the product, not the ad A particularly notable insight in DCODE 2.0 is that advertising cannot compensate indefinitely for weak ecommerce fundamentals. The playbook presents an ecommerce flywheel built around traffic, conversion, customer experience, reviews and ranking. Paid media may initiate discovery, but sustained growth depends on converting that traffic, generating positive customer experiences and reviews, improving sales velocity and ultimately strengthening organic ranking. Its Amazon section reinforces this principle. Product visibility is linked to factors including sales velocity, click-through rate, conversion rate, ratings and reviews, content quality, stock availability and fulfilment reliability. The implication for brands is straightforward: media investment needs to be accompanied by retail readiness. Product detail pages, pricing, availability, reviews, imagery and fulfilment are becoming part of the marketing equation. The playbook also identifies a distinction between conventional ecommerce and quick commerce. Marketplace purchases tend to be more planned, with higher basket values and lower frequency, while quick-commerce purchases are more immediate, frequent and need-driven. Consequently, availability, delivery speed and fulfilment accuracy become especially important in quick-commerce environments. Search is evolving from rankings to AI visibility One of the most consequential changes highlighted by DCODE 2.0 is taking place in search. The report argues that search is no longer confined to conventional search engines. Consumers are increasingly discovering information through AI assistants, social platforms, video platforms, marketplaces, communities and maps. It notes that AI-powered search is changing the conventional model of users browsing multiple links. Instead, AI systems increasingly synthesise information and provide direct answers. The playbook cites AI search as accounting for 32% of the search market by Q1 2026, while also highlighting the rise of zero-click searches and longer, conversational queries. This leads to the expansion of SEO into SEO, GEO and AEO: SEO - Search Engine Optimisation GEO - Generative Engine Optimisation AEO - Answer Engine Optimisation The shift is significant. Ranking on a search engine remains important, but brands now also need to consider whether their information is discoverable, understandable and trusted by AI systems. In this environment, citations, mentions, entity trust and authoritative third-party information can become increasingly important alongside conventional keyword rankings. First-party data becomes a strategic necessity DCODE 2.0 places substantial emphasis on the changing data environment. As privacy regulations tighten and third-party identifiers become less persistent, the playbook sees first-party data becoming increasingly important for targeting, personalisation and measurement. It specifically highlights the need for marketers to build direct customer relationships through websites, apps, CRM systems, transactions and other owned touchpoints. The report also stresses that privacy does not eliminate measurement; it changes the way measurement needs to be conducted. Its discussion of India&apos;s DPDP framework highlights consent, purpose limitation, data minimisation, user rights and governance as increasingly important considerations for marketers. The strategic shift is therefore from simply collecting more data to collecting relevant data responsibly and being able to activate it within a privacy-safe framework. Measurement moves from attribution to incrementality The playbook also reflects the growing dissatisfaction with simplistic attribution models. Instead of asking only which channel received credit for a conversion, marketers increasingly need to understand what additional business impact was actually generated by marketing activity. DCODE 2.0 therefore discusses advanced approaches including incrementality, experimentation, Marketing Mix Modelling and broader measurement frameworks. This is particularly relevant as the consumer journey becomes more fragmented. When a consumer encounters multiple paid, owned and earned touchpoints before purchasing, assigning credit to one interaction becomes increasingly difficult. The emerging measurement question is therefore not simply &quot;Where did the conversion happen?&quot; but &quot;What caused the incremental outcome?&quot; AI moves from experimentation to execution AI is the thread running through virtually every section of DCODE 2.0. The playbook identifies applications across media planning, targeting, campaign optimisation, creative development, search, ecommerce, content, analytics, CRM and productivity. In live campaigns, AI can monitor performance, identify underperforming creatives, adjust bids and budgets, prioritise audiences and support experimentation. In creative, it can generate concepts, copy variations, images, videos and adaptations across formats. But the document draws an important line between AI-assisted execution and human accountability. It cautions that AI-generated outputs can be inaccurate, biased, incomplete or insensitive to context. Human oversight therefore remains necessary, particularly for customer-facing communication and important business decisions. From generative AI to agentic AI The final stage of the AI discussion is the emergence of agentic AI. Unlike conventional prompt-based AI, which waits for a human instruction, agentic systems are designed to observe signals, identify patterns, make decisions and take actions within predefined goals and constraints. In marketing, the playbook identifies early examples in campaign optimisation, lead management and workflow automation. The report is careful to note that agentic AI remains in an early stage, with most organisations still deploying agent-like capabilities within larger platforms rather than fully autonomous marketing systems. Nevertheless, the direction is significant: the marketer&apos;s role could increasingly move from manually operating marketing systems to supervising AI-enabled marketing workflows. Creativity becomes more important as execution gets automated The playbook&apos;s discussion of AI culminates in perhaps its most significant strategic observation. As AI and automation make targeting, optimisation, reporting, content production and other executional tasks increasingly efficient, the advantage can shift towards human creativity, imagination and strategic judgement. MICA Director &amp; CEO Jaya Deoras Deshmukh argues in the foreword that the basics of digital marketing do not become obsolete simply because AI can automate many functions. Instead, the modern marketer needs to learn how to &quot;command the machine&quot; and then move beyond standardised execution towards imagination. This idea also runs through WPP Media CEO, South Asia, Prasanth Kumar&apos;s foreword, which describes AI as becoming an operating system for modern marketing and points to generative search, retail media, CTV, first-party data and advanced measurement as forces redefining the industry. The new marketing stack Taken together, DCODE 2.0 presents a picture of an industry moving towards a new marketing stack: Connected consumers + integrated POE + commerce media + AI-powered search + first-party data + automated media + advanced measurement. The report does not suggest that established disciplines such as television, search, social media, content or performance marketing are disappearing. Instead, their roles are changing as they become increasingly connected to other parts of the ecosystem. For advertisers and agencies, this means the traditional question of which channel should receive the budget? is gradually giving way to a more complex set of questions: where is the consumer in the journey, what signal indicates intent, which environment can influence the next action, what data can be responsibly activated, and what part of the process should be automated? That is ultimately the strategic proposition of DCODE 2.0. Digital marketing is no longer simply about moving advertising onto digital platforms. It is becoming an integrated operating system for how brands understand consumers, create demand, build trust, transact and measure growth - with AI increasingly embedded across every layer. DCODE 2.0 was released on 17 September 2026. The playbook describes itself as a practitioner-first educational and illustrative guide and advises users to adapt its frameworks to their individual business, market, regulatory and technology contexts.

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AI, retail media and connected consumer journeys reshape India's digital marketing playbook: DCODE 2.0 #DH_SHARE_URL# By Medianews4U.COM via Dailyhunt

AI, retail media and connected consumer journeys reshape India's digital marketing playbook: DCODE 2.0

https://www.medianews4u.com/ai-retail-media-and-connected-consumer-journeys-reshape-indias-digital-marketing-playbook-dcode-2-0

Mumbai: FTA Global, a new-age marketing company, has released &quot;The Context Report&quot;, a study examining how AI chatbots such as ChatGPT and Gemini can provide different brand recommendations based on a buyer's location and language.

<nh-chunk-delimit /> The study analysed 1,200 identical questions across 10 business categories, including CRM, project management, payroll, email marketing, accounting, payments, video conferencing, web hosting, cloud storage, and HR and recruiting. The questions were tested across 12 cities and seven languages on ChatGPT and Gemini, with each question run five times to measure variations in responses. According to the report, AI-generated brand recommendations can change based on where the buyer is located, the language used and the AI platform being queried. This challenges the idea that a single AI visibility score can adequately represent how a brand is discovered across different buyer contexts. The variation was particularly evident in the payment gateway category. When asked which payment gateway to use in New York, ChatGPT and Gemini surfaced brands such as Stripe, Square and PayPal. When the same question was asked in Mumbai, the recommendations shifted to Indian brands including Razorpay, Cashfree and PayU. The two city-level results had no brand names in common. Key findings The study found that nearly three of the top five recommended brands changed when the buyer moved away from New York and English, highlighting the impact of context on AI-generated recommendations. Of the 206 brands identified across the study, 159 appeared in only one country, indicating significant variation in AI recommendations across markets. Money-related categories recorded greater geographical variation, with an average of 4.4 of the top five brands changing across markets, compared with 1.5 for everyday categories such as video conferencing and cloud storage. In HR software, none of the top US brands appeared in any of the other countries tested. The report also found differences between AI platforms. ChatGPT and Gemini shared only about 3.2 of the top five brands for the same question in the same city, indicating that different AI platforms can produce materially different recommendations. Repeated testing further showed that the same question produced a consistent top brand in only 35% of tests, even when the question, location and language remained unchanged. Local content also emerged as a factor in AI-generated answers. In Germany, 42% of the sources cited by AI were German web pages, indicating the role of local-language content in answering location-specific buying questions. <img alt=" " rich-src="https://assets-news-bcdn.dailyhunt.in/cmd/resize/#DH_EMB_IMG_REP#__DHQ_/fetchdata20/images/3b/d2/f7/3bd2f7ece675b689d617b5ad15d2bc93564e49486f20b3b3b4b36b243de4be10.webp" src="https://assets-news-bcdn.dailyhunt.in/cmd/resize/#DH_EMB_IMG_REP#__DHQ_/fetchdata20/images/3b/d2/f7/3bd2f7ece675b689d617b5ad15d2bc93564e49486f20b3b3b4b36b243de4be10.webp" width="100%" stopImageLoad="false" style="padding:0 0%; margin:4px 0px;" ></img> Senthil Kumar Hariram[/caption] Commenting on the report, Senthil Kumar Hariram, Founder and Managing Director, FTA Global, said, &quot;AI is changing the way brands are discovered, but discovery does not happen the same way for every buyer. The same question can lead to different brand recommendations depending on the buyer&apos;s location, language, or the AI platform being used. This report makes clear that brands need to move beyond asking how visible they are and start asking where, in what context, and how consistently they are being discovered. This report is a wake-up call for brands to look beyond a single visibility score, and Context Authority is how we help them see the full picture.&quot; Alongside the report, FTA Global has introduced Context Authority, a metric designed to assess how consistently a brand appears within a buying moment across relevant cities, languages and AI environments. Rather than treating AI visibility as a single global score, the approach evaluates brand presence across multiple contextual variables and repeated AI responses. The findings point to a broader shift in how brands approach search visibility as AI increasingly becomes part of the research and consideration journey. Visibility in one market or within a single AI response may not necessarily translate into visibility across the different contexts in which customers make purchase decisions.

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Nearly 3 of top 5 AI-recommended brands change across markets: FTA Global #DH_SHARE_URL# By Medianews4U.COM via Dailyhunt

Nearly 3 of top 5 AI-recommended brands change across markets: FTA Global

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Mumbai: Radio advertising volumes in India grew 1.2% during January-July 2026 compared with the corresponding period in 2025, according to the latest TAM AdEx Advertising Report on Radio - Jan-Jul'25-26. Ad volumes during the period were also 5% higher than the Jan-Jul 2024 period, indicating continued advertiser activity on the medium.

<nh-chunk-delimit /> The report, based on data from 122+ radio stations in association with RCS India, analyses commercial advertising on radio through ad secondages. The Services sector retained the top position among sectors during Jan-Jul 2026, with the top 10 sectors collectively accounting for nearly 92% of radio ad volumes. Personal Healthcare entered the top 10 sectors during the period. At the category level, Properties/Real Estate continued to lead, contributing 17% of total radio ad volumes. The category also recorded 20% growth during the period. Several categories registered significant increases in advertising volumes. Edible Oil grew by 92%, followed by Digestives at 82%, Life Insurance at 79%, Range of OTC Products at 66% and Corporate-NBFCs at 64%. Anywhere Banking recorded a six-fold increase in ad volumes among the categories highlighted in the report. Overall, more than 140 categories registered positive growth during the period. Among advertisers, Maruti Suzuki India retained the top position in Jan-Jul 2026. Three of the top 10 advertisers were new entrants during the period, indicating changes in the advertiser mix on radio. SBS Biotech was also among the advertisers that recorded an upward movement in the rankings. At the brand level, more than 7,500 brands used radio during Jan-Jul 2026. Vimal Pan Masala emerged as the leading brand, followed by Muthoot Financial Enterprises, Maruti Suzuki Arena, SBI, Gaana.com, Pet Saffa, Maruti Suzuki e Vitara, Maruti Suzuki Grand Vitara, LIC Bima Lakshmi and Dr Ortho Range of Products. The top 10 brands together accounted for 11% of total radio ad volumes, with three new entrants appearing in the top 10. The geographic distribution of radio advertising remained concentrated across key markets. Gujarat retained the top position among states with a 17% share of ad volumes, followed by Maharashtra with 15%. The top five states together contributed 61% of total radio advertising volumes. At the city level, Jaipur emerged as the leading market, followed by Nagpur, Indore, New Delhi, Surat, Hyderabad, Ahmedabad, Bangalore, Lucknow and Bhopal. The top 10 cities collectively accounted for 63% of radio ad volumes. The report also highlights advertisers&apos; preference for specific listening periods. Evening was the most preferred time band, accounting for 38% of radio ad volumes, followed by afternoon at 32%, morning at 28% and night at 2%. Morning and evening together accounted for 70% of total ad volumes. In terms of commercial length, 20-40-second advertisements remained the dominant format, accounting for 66% of ad volumes. Ads below 20 seconds contributed 28%, while 45-60-second commercials accounted for 4% and advertisements longer than 60 seconds represented 2%. Overall, the TAM AdEx report indicates that radio advertising continued to record modest volume growth in Jan-Jul 2026, with advertising activity concentrated across leading sectors, categories and geographic markets. While established advertisers and brands continued to occupy prominent positions, new entrants across the advertiser and brand rankings also contributed to changes in the radio advertising landscape.

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Radio Advertising gains 1.2% in Jan-Jul 2026; Maruti Suzuki India tops Advertisers: TAM AdEx Report #DH_SHARE_URL# By Medianews4U.COM via Dailyhunt

Radio Advertising gains 1.2% in Jan-Jul 2026; Maruti Suzuki India tops Advertisers: TAM AdEx Report

https://www.medianews4u.com/radio-advertising-gains-1-2-in-jan-jul-2026-maruti-suzuki-india-tops-advertisers-tam-adex-report

Mumbai: Trusted recommendations, peer validation and relatable customer situations are emerging as important drivers of brand and commercial success in B2B marketing, according to new research from WARC, LinkedIn and LIONS Advisory.

<nh-chunk-delimit /> Titled How to build more Buyable brands: How Recommendations, Relatability and Relationships drive campaign success, the research analyses more than 700 best-in-class B2B campaigns and identifies seven Buyability signals that marketers can use to build buyer confidence and support business growth. The study comes as B2B buying journeys become longer and more complex. Buying cycles now stretch to 272 days with 22 stakeholders, while social and emotional factors increasingly influence decisions. AI is also reshaping how B2B buyers discover, research and validate brands, with 94% of B2B buyers using large language models (LLMs) during their buying journey in 2025. The research builds on LinkedIn and Bain &amp; Company&apos;s existing work on Buyability and highlights three key levers - Recommendations, Relationships and Relatability, or the 3Rs. Recommendations refer to proof and validation from customers, peers, experts and trusted voices. Relationships signal familiarity and the potential for a long-term partnership, while Relatability focuses on real customer situations, use cases and experiences that buyers can recognise. <img alt=" " rich-src="https://assets-news-bcdn.dailyhunt.in/cmd/resize/#DH_EMB_IMG_REP#__DHQ_/fetchdata20/images/4e/c0/ec/4ec0ec3bc5d12c62ddbafcf454f6cedb7f0868ccc993600dd4278551c5c25622.webp" src="https://assets-news-bcdn.dailyhunt.in/cmd/resize/#DH_EMB_IMG_REP#__DHQ_/fetchdata20/images/4e/c0/ec/4ec0ec3bc5d12c62ddbafcf454f6cedb7f0868ccc993600dd4278551c5c25622.webp" width="100%" stopImageLoad="false" style="padding:0 0%; margin:4px 0px;" ></img> Imaad Ahmed[/caption] Imaad Ahmed, Thought Leadership Director, LIONS Advisory and WARC, says, &quot;The Buyability model has gained strong support from across the B2B industry. This new work seeks to demonstrate the impact Buyability has in real case scenarios, and what proof points exist. The objective of our research was to measure how frequently Buyability signals appear in B2B campaigns, and whether more signals drive better results. As we discovered, the intentional use of Buyability signals is still an area of opportunity for B2B marketers. When well-stacked within a campaign, Buyability signals can make revenue, ROI and brand health uplifts far more likely.&quot;<img alt=" " rich-src="https://assets-news-bcdn.dailyhunt.in/cmd/resize/#DH_EMB_IMG_REP#__DHQ_/fetchdata20/images/e6/5b/21/e65b210c3f20a366a13575811df7ba3e2474a3b5a2a99864c4c25a2db6a52a32.webp" src="https://assets-news-bcdn.dailyhunt.in/cmd/resize/#DH_EMB_IMG_REP#__DHQ_/fetchdata20/images/e6/5b/21/e65b210c3f20a366a13575811df7ba3e2474a3b5a2a99864c4c25a2db6a52a32.webp" width="100%" stopImageLoad="false" style="padding:0 0%; margin:4px 0px;" ></img> Mimi Turner[/caption] Mimi Turner, Head of Marketplace Innovation, LinkedIn, says, &quot;Buyability gives us a seven signal framework that marketers can use to strategically enhance campaign outcomes because it is built on insights into what helps buying groups feel confident to buy. The campaigns that win are the ones that make buying decisions easy to defend by focusing on areas that customers can relate to and experiences and voices they can trust.&quot; The seven-signal Buyability framework maps signals to the three Rs and is designed to help brands become more discoverable in AI models, build credibility among diverse stakeholders and provide buyers with greater confidence in their decisions. The research found that Buyability signals remain underused across B2B campaigns, with campaigns averaging just 1.6 signals. Around 30% of campaigns use only one signal, while 22% use none. Less than a quarter of campaigns deploy three or more signals. Campaigns with stronger Buyability signals were also found to perform better on brand metrics. High Buyability campaigns were 24% more likely to report improvements in brand awareness and 91% more likely to report improvements in mid-funnel metrics, including consideration, preference and purchase intent. The research also linked stronger Buyability with commercial outcomes. High Buyability campaigns were 63% more likely to report increased ROI and 110% more likely to report increased incremental revenue compared with low Buyability campaigns. The findings suggest that B2B marketers can move beyond awareness and consideration by incorporating Buyability signals more intentionally into their communication programmes, helping customers validate choices, reduce perceived risk and feel more confident about purchasing decisions.

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B2B campaigns with strong buyability signals show 63% higher likelihood of increased ROI: WARC, LinkedIn and LIONS Advisory #DH_SHARE_URL# By Medianews4U.COM via Dailyhunt

B2B campaigns with strong buyability signals show 63% higher likelihood of increased ROI: WARC, LinkedIn and LIONS Advisory

https://www.medianews4u.com/b2b-campaigns-with-strong-buyability-signals-show-63-higher-likelihood-of-increased-roi-warc-linkedin-and-lions-advisory

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Friendship 

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