“Half the money I spend on advertising is wasted; the trouble is, I don’t know which half.” Even this quote has multiple attributions, from Henry Ford to a small department store owner in Philadelphia named John Wannamaker.
The truth is that the road from a first impression to a final purchasing action is becoming more and more twisted every day making it very challenging for companies and ad agencies to accurately measure the ROI of their marketing budget.
To that end, Google says it wants to rid marketers of their obsession with the last click before consumers buy things. Instead it aims to provide insights about how earlier ad dollars perform in areas like TV, digital video, store visits and search.
The tech titan separately said it’s capable of showing local store hours, directions and inventory levels immediately after commercials on YouTube. A test last year, Google claimed, motivated nearly a million people to visit Wendy’s and place an order for a square-shaped hamburger.
The announcements were among a flurry made last May at Google Marketing Next, an annual event to promote the company’s plans for ad products, analytics and its DoubleClick ad platform. To help marketers sift through the search giant’s many updates and new offerings, we’ve compiled several key takeaways from the event.
Say Good Bye to Last Click Attribution?
Email campaigns, digital ads, TV spots and store visits are among the many tools that marketers use to reach consumers. More often than not, whatever “touched” a consumer most recently before a purchase gets the credit. That’s the last-click paradigm, a reference to a shopper’s click on an ad online. Google’s new offering, dubbed Google Attribution, joins the effort to pull off something more sophisticated.
The product uses machine learning, Google said, to assign a weighted value to every different touchpoint along consumers’ paths to purchase. The goal is to make sense of ad dollars’ effectiveness across different channels and devices. If a consumer’s last action before buying something is a Google search, for example, an earlier marketing campaign, whether it be email, display ads, or even a TV commercial may also get its share of the credit.
Such so-called multi-touch attribution has been around for years, but Google said its product will be more accurate and faster than existing efforts. It’s also free in the version designed for small and medium-sized businesses.
“It creates a prediction model that learns by weighting a set of touchpoints on how likely a user is to purchase something,” Babak Pahlavan, senior director of product management for analytics measurement at Google, said. “The presence and absence of marketing touchpoints across channels and across campaigns will either decrease or increase the likelihood of a conversion.”
The new product is still in beta, but the company plans to release it widely later this year. Google also announced a product called Attribution 360 that does the same things plus some, with an annual price starting at $150,000. That’s aimed more at companies and agencies that roll out large campaigns. Clients can inform its results by uploading marketers’ own first-party data as well as data from Google’s AdWords and DoubleClick.
In-Market Audience Debuts on Search
Google’s empire was built on the proposition that people searching for something online are prime candidates to see an ad for something related. On Tuesday, Google said it is improving that proposition by letting marketers buy search ads that appear only for “in-market” shoppers, meaning they’ve previously searched for suggestive terms like “spacious SUV” or “SUV with best gas mileage,” for example.
The company said it will analyze trillions of search queries across its users to better surface people who are close to pulling the trigger and making a purchase.
A few other stats provided at the conference:
- Each day, Google analytics processes half a trillion data points across devices
- The company has measured more than 5 billion store visits across 17 countries in the last 30 months.
- Google’s partnerships have captured information about approximately 70% of all credit card transactions in the U.S.
Thank you for reading. Until next time, this is Manuel Gil del Real (MGR).
Sources: AdvertisingAge, Google