I recently listened to an interesting industry conference discussing Connected TV and the evolving landscape of TV measurement. As one might expect, there was a consensus that the TV market continues to increase in complexity due to fragmented audiences, shifting viewing habits, and the impact of multi-screen usage on ad effectiveness. Equally, a panel of broadcasters, agencies and trading platforms were quick to express their great optimism for advertisers looking ahead. The suggestion being that by ‘supercharging’ TV’s new data measurement opportunities and accelerating its integration with retail data, TV’s true potential would be unleashed for the benefit of all.
The discussion then moved to explore the evolution of data measurement, from impressions to viewability to attentiveness and, very soon, even to ad absorption. These new emerging metrics were overwhelmingly perceived as a triple win: - media owners to maximize ad revenues; advertisers to more accurately target audiences enhancing campaign performance; and consumers to receive more relevant messages thereby reducing ad fatigue. For me, however, the discussion did not go far enough in that it insufficiently addressed a key question: -
How to balance the benefits of increased data measurement opportunities against their associated costs for advertisers in terms of time, money, resource and general bloody headache?
While many data measurement advancements undoubtedly offer significant benefits, it's essential for agencies and media owners to continue to quantify, evaluate and counterweight these benefits against the substantial, often hidden, costs to advertisers. This includes proprietary 1st party data which is commonly misconceived as being free for advertisers but is absolutely not. The question, therefore, should not stop at whether the adoption of advanced data metrics will lead to an increase in campaign performance. Instead, the question should extend to whether the potential increase in business performance (both long and short term) can justify the resulting increase in investment, costs and operating complexities now to be incurred by the advertiser. This should help ensure that recommended data measurement solutions stay relevant and tailored to individual advertiser needs and likely impact on business. Who knows, perhaps the good old S-Curve might help? #DataMetrics #EffectiveMeasurement #AdvertisingInsights #RSMarketingConsultancy
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