For over a decade, brands poured resources into social platforms, when in reality, they were building on infrastructure they never owned.
As algorithms grew less predictable, the gap between having an audience and owning a customer relationship has become impossible to ignore.
Today, CX leaders can no longer afford to treat social platforms as a customer database, measuring success inside ecosystems they don’t even control.
Greg Swan, Head of Futures & Client Transformation, FINN Partners, told CX Today that brands are facing a new form of platform dependency as AI reshapes discovery.
“It used to be followers and then the algorithm deciding who saw your post,” he pointed out.
“Now it’s an AI model deciding how you get described when someone asks it a question.”
The Attention Trap
For much of the few decades, social platforms became the primary hub for brands to engage with customers, with marketing budgets increasingly shifted toward these as they offered immediate, measurable feedback.
The problem, however, is that this feedback measured activity on platforms owned by someone else, meaning brands could not determine which posts appeared in users’ feeds, how much organic reach was available, and how much further a brand needed to reach an audience.
When the customer relationship exists within an ecosystem controlled by a third party, success becomes defined by visibility inside social networks instead of building direct, long-term relationships.
Speaking with CX Today, Dani Weinstein, CEO at The Community Architect, argued that many organizations have mistaken audience growth for customer ownership.
“For years, brands measured success through followers, impressions, and engagement rates,” she explained.
“Those metrics helped shape marketing strategies, but they also encouraged organizations to build customer relationships on platforms they don’t own.”
With organic reach declining across platforms, this distinction has become more relevant as the conditions that made social media a reliable customer acquisition tool changed.
More algorithms now prioritize paid content and AI-recommended content over brand posts, whilst organizations continue to have little visibility into how they work when new strategies become significantly less effective after an algorithm update.
Today, however, AI adds a new layer of uncertainty to visibility as it depends more on trusted reviews and established community discussions, causing brands to rethink social media’s position in their customer engagement strategy.
“The obsession with the scale of large numbers led organizations to follow the noise and lose the signal with a lens on audience size,” she continued.
“At the end of the day customer relationships are paramount and when managed properly will drive quality of scale.”
Contrary to popular belief, a smaller community of engaged customers who actively participate and willingly share feedback may ultimately create more long-term business value than a larger passive audience.
Brands should therefore not abandon platforms but stop treating them as the destination for customer relationships.
When the Dashboard Became the Strategy
When traditional social platforms first emerged, they provided simplified. real-time data to marketers on engagement, making it easy to demonstrate impact.
Christina Garnett, Chief Customer and Communications Officer at neuemotion, explained to CX Today how the popularity of social metrics was a consequence of how marketing performance was measured.
“I don’t think marketers were shortsighted for chasing them so much as marketers know that what gets measured gets managed,” she said.
“Those metrics got prioritized because platforms made them easy to measure, and leadership wants something they can measure.”
Even though this approach reflected the strength of customer relationships, this transformed how success was defined, as platform dashboards became the primary source of marketing performance.
“Relationship depth is genuinely hard to quantify, while follower count is a single number that drops cleanly into a board deck,” she continued.
“Legibility won out over value because legibility is easier to defend in a budget meeting.”
In fact, a Fospha report reveals that traditional measurement can undervalue up to 92% of marketing’s impact because it misses cross-channel influence and longer customer journeys.
As many organizations become highly effective at measuring engagement without understanding customer health, follower counts became dominant because they were easy to measure.
“Brands can often tell you exactly how many people liked a post, but can’t tell you whether those same people are their most at-risk accounts for churn,” she concluded.
The Asset You Never Actually Had
More recently, social media has transitioned from simply a marketing channel to a place where brands manage customer relationships, often at the expense of channels they actually own.
Rather than encouraging customers to move into owned email databases, communities, or CRM systems, many organizations have allowed conversations to remain on social platforms where control is limited, and teams began to divert priorities.
Community managers began to focus on engagement metrics whilst CRM and customer data teams focused on improving retention, rarely working together despite both aiming to strengthen customer relationships.
As a result, this false success caused customer engagement to become fragmented across departments with no unified view of the customer journey.
In conversation with CX Today, Matt Wurst, CMO of Genuin, said many brands have confused building an audience with building a customer asset.
“Impressions and follower counts told brands they were winning while someone else controlled the actual asset,” he highlighted.
“That’s the trap. You can grow an audience for years and own none of it.”
In fact, if a platform reduced organic reach or changed its recommendation system, brands would have little influence over whether they could still communicate with the customers they had spent years attracting.
As marketing budgets tightened, these platforms appeared as an easy way out “Social was fast and free, so it became the default,” Wurst continued.
“Until it wasn’t anymore. Building CRM infrastructure and first-party data takes longer and shows up on a different budget line, so it got treated as a ‘later’ problem.”
As a result, many organizations eventually postponed owned customer channel investment as the immediate returns from social media proved sufficient ROI to financial teams.
Eventually, this strategy became increasingly risky as algorithms began limiting organic reach and AI transforming how customers discover brands, meaning they could no longer identify or directly communicate with customers.
Additional research from Fospha reveals that brands using advanced measurement platforms and first-party customer insights achieve 30% higher return on ad spend than the market average, demonstrating the commercial value of owning customer data.
“The result is brands that can tell you their engagement rate but can’t tell you who actually bought something twice,” he noted.
That’s not a data gap, that’s a customer experience gap. You can’t personalize, retain, or even apologise well to someone you can’t identify.”
Therefore, owning customer relationships requires organization to build systems that serve customers beyond the social platforms where journeys begin.
When the Algorithm Gets an Algorithm
In regard to AI, the technology is actively changing customer discovery by making platform dependency an even bigger risk for brands by introducing another layer between businesses and their customers.
More customers are now swapping social feed scrolling for AI assistants, meaning brands have less control over how they are discovered or presented before a customer ever visits their website.
Unlike social platforms, AI systems rely on authoritative content and credible discussion signals, meaning a brand that spent years cultivating a social media presence may fail to appear in an AI-generated response if it lacks trust and expertise.
Eric Turney, Sales and Marketing Director at The Monterey Company, informs CX Today that he believes this shift raises the stakes for brands that have relied heavily on social platforms to reach customers.
“AI makes platform dependence even riskier,” he notes.
“Customers may now discover a company through an AI answer without visiting its social profile or even clicking through to its website.”
This new visibility competition changes how brand leaders need to think about content and community, requiring them to have “clear product information, strong reviews, useful community participation, and outside references that help AI systems understand why the company is credible.”
This requires brands to take a step back and focus on creating website-focused content, owned customer communities, and authentic participation in community discussions.
By reinvesting in those previously abandoned controlled assets, these signals can provide AI models with the context needed to accurately represent and recommend a business.
Look Beyond the Follower Count
Rather than viewing communities as a simple marketing activity, the new social media wave demands a new approach where communities can grow as a valuable source for customer insight and support.
This provides product teams with direct feedback and creates stronger relationships between brands and their audiences, as well as directly contributing to AI visibility as community discussions and resources provide additional signals that help AI systems enhance a brand’s credibility and expertise.
Speaking to CX Today, Jeannie Assimos, Head of Content and Communications at mainelove, highlights that meaningful community building is about creating genuine connections that encourage customers to participate and advocate.
“I think all of the reach and numbers you can achieve through social channels can be distracting and not representative of actual connection,” she notes.
“Leaders at organizations should always prioritise first-party customer data.”
For brands navigating an AI-driven discovery landscape, the future of community strategy lies in building relationships and knowledge assets that brands can continue to benefit from across channels.
“Businesses need to understand and leverage longer-form content, where they can tell their stories and narratives on platforms like LinkedIn, on podcasts, and on Reddit,” she continued.
“PR and earned media have never been more important, as AI pulls that information in brand overviews.”
Build What You Can Keep
As social platforms become less reliable foundations for customer relationships, brands will need to rethink the role they play to attract attention, start conversations, and create awareness, rather than being the only place where customer relationships exist.
The first shift needs to happen in measurement, focusing more on indicators that reflect lasting relationships.
Greg Swan, Head of Futures & Client Transformation at FINN Partners, notes to CX Today that organizations need to measure what they actually want to build.
“Stop reporting raw follower count. Start reporting owned-list growth, repeat engagement on channels you control, and how you show up in AI answers,” he highlights.
“Teams chase what you measure. Long live email!”
When measurement drives behavior, rewarding audience size alone means teams will continue optimizing for reach rather than relationship depth.
The next step is investing in owned customer infrastructure and communities that allow organizations to understand and support customers over time on their own terms, with community data contributing to a broader view of needs and behaviors.
“That’s why we counsel brands to treat community as infrastructure, not a channel,” he explained.
“A real one deflects support tickets, surfaces product feedback, and builds a knowledge base that feeds both search and how AI describes you.”
As AI increasingly influences customer discovery, these knowledge assets will become even more important if brands want to close the gap between having an audience and owning a relationship.
“Community got disconnected from ownership because of where it sits in the organisation. It got filed under social, not CX or CRM, so the team growing the following was rarely the team that owned the customer relationship,” Swan concluded.
