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Political operatives trash ANALYTICA say it wasnt effective

Issued: 2018-03-21

Donald Trump. Kevin Dietsch-Pool/Getty Images

As Sen. Ted Cruz mounted a bid for the presidency in 2016, a nascent, data-obsessed company presented his campaign with an intriguing proposition.

It had a "secret sauce" that no other firm could deliver.

Cambridge Analytica promised a data service that was enhanced by its "psychographic" voter profiles. Unlike other services, Cambridge Analytica could micro-target voters based on their personality traits, working to streamline and tailor a political message to a specific person.

But that psychographic targeting is far from proven science. And for the Cruz campaign, it ultimately didn't prove very useful.

"Cambridge came in, and they had this whole idea that was very interesting to us with this psychographic data and how it could be used," Rick Tyler, the campaign's communications director, told Business Insider. "I'm still not unconvinced that it could be used, but it was definitely not perfected. So they end up being a competent data company, but that extra thing they were promising they really didn't deliver on."

The data firm, which has garnered significant attention in the political world over the past few years for its work for candidates like Cruz and Donald Trump, has come under fire in recent days since a whistleblower named Christopher Wylie detailed how the company exploited Facebook to collect data from unknowing users.

Wylie has said he "made Steve Bannon's psychological warfare tool," referring to Trump's former chief strategist's involvement with the group, backed by the GOP megadonor Robert Mercer and his family.

But in the political world, the open secret about the company is that it never quite delivered on its grandiose promises or its "secret sauce." And for candidates like Cruz and Trump, its key function was as a vehicle to the Mercer family's power and donations.

Cambridge Analytica used the data to develop what it called psychographic profiles of tens of millions of US voters, and it has not been shy about claiming credit for helping Trump to a slim victory in 2016.

But both Brad Parscale, who ran the Trump campaign's data operation, and Matt Oczkowski, the chief product officer for Cambridge Analytica, have said the campaign didn't use psychographic targeting based on people's personality types. It didn't even use Cambridge Analytica's trove of data, Wired reported, instead opting for the Republican National Committee's data file.

"The RNC was the voter file of record for the campaign, but we were the intelligence on top of the voter file," Oczkowski told Wired. "Sometimes the sales pitch can be a bit inflated, and I think people can misconstrue that."

For the Cruz campaign, which used Cambridge Analytica before Trump's operation did, the service did not provide "any lift over what they said was the extra secret sauce," Tyler said.

"As a data company, they're a good data company," Tyler said. "But as a data company that promised that extra-secret-sauce data was going to be a breakthrough, they didn't really provide that."

Ted Cruz. AP Photo/Carolyn Kaster In July 2015, Tyler praised the service, calling it "better than anything I've ever seen." But by the time Cruz pulled off his victory in the Iowa caucuses the next year, Tyler said it was clear the campaign's digital operation was more a credit to its top data staffer, Chris Wilson, and not to Cambridge Analytica.

The company oversold its capabilities, Tyler said.

"Give me a political vendor that hasn't done that," he said.

Cambridge Analytica's CEO, Alexander Nix, who has been suspended pending an investigation, assured the Cruz campaign that it acquired all the data ethically and legally, Tyler said. But with so much data for a campaign to sift through, "you can't go through 30,000 points of data and go: 'Did you acquire this piece of data on this voter ethically?'"

"I think that part of the story is a little overblown," Tyler said. "Every day the company is searching for more information to make their predictability models better. There's nothing new about that. There's nothing nefarious about it. People give away their information routinely. None of that is new."

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