Brands have never had more access to consumer information, but how much of it reflects reality? There’s always an element of subjectivity when it comes to what is and is not true, and this carries through to data. Signals get fuzzier the more platforms they move between, touchpoints can be interacted with in error, and consumers often think one way and then act another, writes Zuzana Urbanova, VP agency solutions, APAC, Lotame.
If a brand or agency’s marketing strategy diverges too much from reality, they can waste millions on an audience that isn’t relevant or may not even exist. Achieving clarity on true consumer behaviours and desires requires marketers to move on from legacy approaches that rely on static demographic archetypes and isolated datasets towards dynamic, analytics-first methodologies that reconcile what consumers say with what they do.
Never assume that aspirations translate into actions
A stubborn schism lies at the heart of consumer analytics: the discrepancy between self-image and behaviour. Engage with audiences through traditional market research and surveys, and what they give in return is a projection of their aspirations rather than their reality.
This phenomenon (which we are all guilty of) is called social desirability bias, and it skews data towards personas that are most culturally acceptable. It’s so ingrained in us that it occurs even within entirely anonymous testing environments.
For example, a consumer may genuinely intend to minimise their environmental impact, and research eco-friendly, plastic-free detergent sheets online. However, when faced with a pile of dirty laundry waiting at home at the end of a hectic workday, they might purchase a plastic tub full of petrochemical-based pods at the local supermarket instead. Proximity and convenience often trump our best intentions.
This gap between intent and behaviour confounds organisations that mistake aspirational signals for purchase intent. To mitigate this bias, declared data and isolated digital signals cannot be treated as budget-deciding consumer intelligence and must be supported with continuous supply of recent, observed behavioural sources, ideally captured within a thirty-day window.
First-party data can’t tell brands what they don’t know
Organisations often overestimate the value and utility of insights they have gathered themselves. This first-party data (derived from proprietary loyalty programs, direct-to-consumer transactions, and customer relationship management (CRM) systems) may offer a detailed portrait of current customers through historic interactions, but overreliance on this internal and retrospective view inevitably leads to an insular, backwards-facing perspective.
First-party data can provide most of the material needed for customer retention, but it is fundamentally incapable of driving expansion. Without integrating these internal profiles with the broader data ecosystem and leveraging the prospecting strategy this broader view enables, market share and brand awareness will gradually erode.
Successful customer acquisition hinges on having a robust identity infrastructure that seamlessly connects internal identifiers with external intelligence, whether that’s through third-party data marketplaces, collaborative exchanges with other brands, or trusted publisher or retailer networks.
Such far-reaching connectivity reveals the untapped market opportunities and underrepresented audience segments that can deliver true incremental growth.
Opportunities for Incremental growth are never obvious
Failure to integrate diverse data streams often results in an activation-first strategy that sacrifices precision for speed. Under such a strategy, marketers target campaigns towards unverified, assumed demographics, rushing to launch before rigorous audience analysis has been conducted. It can result in budgets being wasted on audiences that are more fiction than fact.
For example, picture a campaign for robot vacuum cleaners. Prior market research, broad demographic data, and marketer assumptions might suggest the target audience are busy urban professionals who are short on time. The brand then launches a highly targeted digital campaign with creative to match. What they don’t realise is that this segment’s interest had already been maxed out and was overcrowded with competitors.
Had they integrated recent intelligence, they might have seen that incremental retail growth was being driven by elderly consumers in suburban and rural locations, who were drawn to the accessibility benefits of a robot vacuum rather than its convenience. Such an audience demands an entirely distinct media mix and creative approach, but the quarter’s budget had already been wasted on a saturated market.
Conversely, brands that capture sustainable incremental growth are those that adopt an analytics-first strategy, pausing to interrogate the nuances of the market prior to media investment. This strategy swaps blunt demographic categories with a web of multi-layered and timely behavioural insights.
The traditional practice of targeting off-the-shelf cohorts (such as “fitness enthusiasts” or “luxury traveller”) may suffice for broad top of funnel goals but not necessarily when a brand wants to move consumers to consideration and purchase. Actionable intelligence demands a granular understanding of specific behavioural signals, spanning everything from cyclical spending patterns and lifestyle markers to complementary brand affinities and cultural interests.
Today, the advantage is held by marketers who treat audience intelligence as a continuous feedback loop that must be constantly challenged. By layering declared and assumed traits against observed behavioural truths gathered from the wider data ecosystem, brands can take their understanding of potential customers from superficial to super-effective.
At Lotame, that’s where 20 years of experience shows up—not as a nice-to-have, but as the difference between signals and strategy, and pressure and performance.
In a world of uncertainty, experience isn’t just valuable, it’s decisive. See it in action.
Written by Zuzana Urbanova, VP agency solutions, APAC, Lotame.
