Autotrader’s CCO on Why Car Buying is Moving from Leads to Intent

Today’s car buyer in the UK is increasingly self‑educated via specs, reviews and finance calculators before engaging a dealer. Autotrader’s Ian Plummer explains why high‑intent signals and horizontal discovery now matter more than raw lead volume.

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  • With senior leadership stints across Renault, Volkswagen Group UK and now Autotrader, Ian Plummer has seen the automotive ecosystem from almost every seat in the house: original equipment manufacturer (OEM) HQ, dealer group boardroom and, today, the data‑rich marketplace layer where most car‑buying journeys actually play out. 

    As Chief Customer Officer at Autotrader, one of the largest digital automotive marketplaces in the UK and a FTSE 100 tech and data company, he sits at the junction where consumer behaviour, retailer economics and platform intelligence collide.

    Plummer describes Autotrader’s strategy as a three‑circle equation: a highly efficient core marketplace, a data and technology platform that powers taxonomy and valuations across partner systems, and a growing suite of digital retailing tools that let buyers “see, shop, buy” on their own terms.

    In his view, these are not competing interests but a symbiotic system: when you remove friction for consumers, you ultimately improve conversion and profitability for retailers as well. The real challenge, he argues, is less about trade‑offs and more about pace, bringing thousands of operators along on the journey as buyer expectations race ahead.

    Autotrader’s data is actively validating that shift in expectations. Today’s UK car buyer “snacks” on the journey over weeks, comparing multiple fuel types and around 18 brands, often researching late evenings and weekends before ever speaking to a salesperson.

    For Plummer, that has completely rewritten what constitutes a “good lead”: it is no longer a basic form fill, but rich, contextual intent captured to show retailers a shopper’s real propensity to buy. It’s also forcing marketers to rethink funnels in a world where discovery is horizontal, not mono‑brand, and where pulling customers too early into narrow, brand‑owned environments can work against them.

    In this conversation with Martechvibe, Plummer talks about the three‑circle strategy in practice, what “good” looks like when OEMs and retailers truly integrate marketplace data, and why he believes boardrooms must move beyond vanity metrics like dwell time.

    The three‑circle strategy talks about core marketplace efficiency, a data/tech platform delivering taxonomy and valuations across partner systems, and digital retailing enablement for omnichannel journeys. What are the hardest trade‑offs when you allocate investment across those circles, especially when one might benefit consumers more and another benefits partners’ P&L?

    The reality is that we do not see these as hard trade-offs or competing interests. It is a symbiotic equation. Our fundamental belief is that when you create genuine, frictionless value for consumers, you also create value for retailers and their P&L. Everything we build has to work for both sides of the marketplace.

    Admittedly, the challenge is sometimes pace. It can take time for a highly consumer-centric innovation to be fully adopted across the retail network, because it can require a shift in traditional operating habits. But the destination is always the same: consumer confidence drives conversion, and conversion drives retailer profitability. 

    Our investment strategy is about balancing that journey, bringing our partners with us while continuing to evolve to meet modern buyers’ expectations.

    You’ve described how Autotrader’s taxonomy, valuations and pricing intelligence sit behind OEM and retailer sites, powering, for example, BMW, Stellantis, Lookers, and major franchise networks via APIs and tech partners. What does “good” look like when an OEM or dealer integrates your data, and what are the warning signs that they’re still treating it as a bolt‑on rather than a strategic asset?

    “Good” looks like a deeply interconnected, joined-up ecosystem that removes friction. It is about saving time for operators, while giving buyers greater consistency, transparency and ease. 

    A good example is Lookers: a couple of years ago, by fully integrating our pricing APIs, they saved the equivalent of six headcount because they no longer had to update multiple systems manually every time a vehicle’s price changed. True integration also brings new cars out of hiding, making live, highly relevant inventory instantly visible to consumers.

    The warning sign is when data remains disconnected from day-to-day decision-making. If systems are not communicating seamlessly, retailers can be too slow to respond to live market dynamics. That might mean underpricing highly sought-after used cars, missing a margin opportunity, or failing to adjust quickly enough to changes in supply and demand.

    In those instances, data is not being used as a strategic asset; it is being treated as an add-on.

    You’ve said consumers increasingly want to do most “jobs” in the car‑buying journey digitally: valuations, finance, deal‑building, reservations, while still valuing physical test drives and showroom experiences. Where do you think automotive retail is still clinging to analogue processes that actively erode trust or conversion?

    Rather than focusing too heavily on what erodes trust, I think it is more useful to look at what builds modern trust: flexibility. The car-buying journey is no longer a single, linear path. It is much more like a game of snakes and ladders, which better reflects the reality of buying a complex, high-value product

    People “snack” on car buying in multiple moments that, in our consumer data, typically take up to 88 days, 588 minutes on line and 18 car brands of multiple fuel types, new and used variants, etc. It’s complex and it takes time.

    Friction tends to appear when buyers are pushed through a single, rigid sales process that suits a retailer’s internal habits, training or systems, rather than the customer’s needs. Success today means treating buyers as individuals, allowing them to set the pace and order of the tasks they want to complete, and letting them pick up in the showroom exactly where they left off digitally. 

    Ultimately, it requires retailers to be comfortable being slightly uncomfortable: doing the difficult things that make the car-buying customer feel more comfortable and in control.

    The UK car‑buyer in 2026 expects instant digital responses, with roughly three‑quarters researching after 6pm or on weekends, and is increasingly self‑educated via specs, reviews and finance calculators before engaging a dealer. How has that “always‑on, always‑informed” behaviour changed your view of what constitutes a good lead and how it should be handled?

    It has completely redefined it. A good lead is no longer simply a contact form with a name and an email address; it is rich, contextual intent. Because consumers are doing so much of the heavy lifting digitally, our technology needs to capture that effort and translate it into something useful for retailers.

    That is why we focus on tailored solutions, rather than a one-size-fits-all approach. Through innovations such as Deal Builder, buyers can shape the parameters of their deal on their own terms, so when the lead arrives with the retailer, the conversation is already much further advanced.

    Through tools such as Buying Signals, we can also provide retailers with deeper insight into a consumer’s propensity to buy, based on their real-time behaviour.

    A good lead today, combined with these Buying Signals insights, enables the retailer to pick up the conversation intelligently, rather than starting from scratch and forcing car buyers back to the start of a process they’ve already put a lot of time and effort into.

    You’ve warned OEMs against focusing on leads and website dwell‑time as primary KPIs when consumers increasingly want transparency and hybrid digital‑physical journeys, not just form fills. What contemporary metrics would you rather see boardrooms obsess over if they truly want marketing to drive efficient conversion and lifetime value?

    Boardrooms need to move beyond vanity metrics, or the more simplistic measures that enable relativity of performance comparisons between countries, and focus instead on genuine intent, attribution and value. We would rather see greater attention paid to a consumer’s propensity to buy, which is exactly what our Buying Signals intelligence is designed to help retailers understand.

    Instead of looking at isolated dwell time, the industry needs to focus on driving conversion and making that conversion trackable through efficient routes to market. Our “see, shop, buy” approach, particularly in our new car go-to-market strategy, brings the journey together on one impactful and measurable platform. 

    Understanding the true value of an interaction, and properly attributing where that sale originated, is far more useful than simply counting top-of-funnel clicks.

    You’ve noted that brand websites collectively attract far less time‑spent than Autotrader, and that consumers typically compare around 17 different brands when shopping for a car. How should marketers in automotive and adjacent verticals rethink their funnel strategies when discovery happens on horizontal platforms rather than inside brand‑owned environments?

    Marketers need to recognise that the modern automotive journey is rarely mono-brand. Consumers are comparing more, asking more questions and becoming more brand-agnostic. When discovery happens horizontally, trying to pull buyers into a vertical, brand-owned environment too early can be an uphill battle.

    Instead, marketers need a much more targeted, conquest-focused approach. That means reaching buyers where they are already making comparisons, and using smart data, such as Autotrader’s competitor sets, to target the right consumer at the right moment with the right message. It is the fundamentals of good marketing, but updated for today’s data-rich, horizontal digital environment.

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