Allstate is a major insurance companies in the US and when they started working with social media they ran into a lot of resistance from the company itself, especially from the legal department. The liability issues for an insurance company are immense – if Allstate runs a message board, and a user writes that they’re happy with Allstate’s insurance, and another user takes their recommendation and gets the same insurance and then something bad happens, Allstate is liable for the advice given by the user on their website. Lizzie Schreier was in charge of introducing social media to Allstate and has five very useful strategies for how to convince the legal department that social media will be OK.

How to get things through legal:

  1. Fact finding. Uncover their problems. E.g. ask group of lawyers/decision makers “raise your hands if you know anything about social media” and find out what they know and what their concerns are.
  2. Truly educate them. At first, most of them really don’t know why she’s there (i.e. Lizzie Schreier who was trying to get them into social media). If she hadn’t succeeded in making legal and the leadership understood why social media were important, they’d have thrown it out and said no, it’s too dangerous. She did a lot of homework – for instance on guidelines, where she looked at what Farmers was doing and was able to tell legal at Allstate “here’s this other insurance company’s guidelines, I know you’re worried about this liability issue and here’s how others have dealt with this.”
  3. Choose your words wisely. In insurance, you can’t use the words “advice” or “recommend” because of liability issues.
  4. Baby steps. Compromise. Legal told her: “You can have your forum, but you can’t talk about insurance.” OK, but then I want all comments posted and moderated after, no moderation until posts are published. As it turned out, not talking about insurance worked in their favour. There were lots of mundane conversations – about siding on a house, children’s clothes. Once the site was discussing more insurance-related things, the legal department weren’t so nervous about it.
  5. Prove, Communicate, Enhance and Repeat. Show up weekly with doughnuts and walk them through the comments on the site and show them that there’s nothing dangerous out there. After 2-3 weeks Schreier said “here’s a new topic I want to put out there”, and it touched upon insurance. At that point they trusted her and let her do it. Also, over time, she identified the one lawyer who was the only one who was actually sound asleep through the whole first meeting, which was actually OK because he already knew the internet and social media – so Schreier and her team worked on making a strong connection with him.

This case study spawned other projects that were actually less successful. A lot of other groups wanted to do everything at once. They walked in and wanted to change the world. Whereas Lizzie started much slower – yet launched faster as a result. Started really small – not a lot of traffic, which she used in her favour – see, it’s not getting a lot of traffic, it’s not a threat!

Leadership wanted to get a social media board up and running, get people to connect with each other – there wasn’t a clear strategy. Lizzie went into more detail, defining target audiences. Their main goal was to educate consumers on what’s important when considering insurance, primarily auto insurance.

OK; moving on to the next case study… Fiskars and their Fisk-a-teers.

[You can also read about this presentation at RenÈe Blodgett’s blog down the avenue.]


Discover more from Jill Walker Rettberg

Subscribe to get the latest posts sent to your email.

7 thoughts on “BlogHer Business: Allstate case study: building the internal case for social media in a heavily regulated environmemnt

  1. Marcia Hansen

    Thanks for the link to your post. It really is about starting small and building from there.

    @marciahansen
    @Allstate

  2. Jill Walker Rettberg

    Thank you! I think your and Lizzie’s insights are going to be valuable to a lot of people and businesses starting up with social media – I’m definitely going to be mentioning you when I talk to businesses about social media in the future.

  3. Ben Foster

    Great summary! I work with Lizzie and Marcia, and they paved much of the way for our most recent social media effort at Allstate, The Good Hands Community. Kudos to the hard work of these pioneers!

  4. Insurance Compliance

    Compliance & social media RT @allstate @Kdieruf: How AllState built case for social media in heavily regulated industry. http://bit.ly/NpQhT

  5. SCInsurance

    RT @Kdieruf How AllState built the case for social media in a heavily regulated industry. Key pts, take it slow. http://ow.ly/iB5c

  6. TwittaMarketing

    RT @Kdieruf How AllState built the case for social media in a heavily regulated industry. Key pts, take it slow. http://ow.ly/iB5c

  7. K DeLia

    RT @BeingJenn: Allstate case study: building the internal case for social media in heavily regulated environmemnt http://jilltxt.net/?p=2401

Leave A Comment

Recommended Posts

Screenshot of a paragraph from a New York Times article published May 12, 2026. Text reads: "The price of tomatoes -tart bursts of flavor in salads and sandwiches — surged nearly 40 percent in April from a year ago on a combination of bad weather, high tariffs and climbing transportation costs."
AI STORIES

Genre glitches and unexpected promotional phrases as a sign of AI writing

A genre glitch is a characteristic of LLM-assisted writing where the text suddenly switches genre, typically inserting a short promotional phrase full of sensory details into an informational text. Genre glitches occur when a word in the generated text is heavily associated with a genre or context that is markedly […]

Top of a ransom note from Shinyhunters hacking group. Text reads: "SHINYHUNTERS rooting your systems since '19 ;) ShinyHunters has breached Instructure (again). Instead of contacting us to resolve it they ignored us and did some "security patches"."
Networked Politics University politics

UiB self-hosts the open source version of Canvas, so wasn’t affected by the breach

On May 1st Canvas announced a security breach, and then yesterday the system was hacked. The login page was replaced by a ransom note: if universities don’t pay up by 12 May, student data will be released. Here’s what the login page looked like yesterday: Way back in 2015, when […]

AI and algorithmic culture Networked Politics

AI-generated images, fascist aesthetics: Dieselbrølet and Heimatstrom

My German is pretty dodgy, so when I first saw Heimatstrom on Bluesky, shared by Roland Meyer, a professor of visual culture at Universität Zürich’s Digital Society Initiative, I misinterpreted it and thought it was a far-right campaign. But no, Heimatstrom is a group of left-wing environmentalists using fascist AI […]

Photo of a billboard ad at Oslo S train station showing a smiliing conductor and the text "Du må ikke sove. Joda, bare sov du."
AI STORIES

“Du må ikke sove”: a floating motif detached from its meaning (or: LLMs can write Norwegian but miss cultural references)

There’s a new ad for the train between Stavanger and Oslo in Norway that uses a line from Arnulf Øverland’s famous anti-fascist poem Du må ikke sove (“You must not sleep”). Du må ikke sove, you must not sleep, the ad says. And then it flips it, jovially, joda, bare […]

Academics in Norway: Sign this petition asking for research-based discussions of how to use AI in universities

I just signed a petition calling for Norwegian universities to use research expertise on AI when deciding how to implement it, rather than having decisions be made mostly administratively. ,  If you are a researcher in Norway, please read it and sign it if you agree – and share with anyone else who might be interested. The petition was written by three researchers at UiT: Maria Danielsen (a philosopher who completed her PhD in 2025 on AI and ethics, including discussions of art and working life), Knut Ørke (Norwegian as a second language), and Holger Pötzsch (a professor of media studies with many years of research on digital media, video games, disruption, and working life, among other topics).  This is not about preventing researchers from exploring AI methods in their research. It is about not uncritically accepting the hype that everyone must use AI everywhere without critical reflection. It is about not introducing Copilot as the default option in word processors, or training PhD candidates to believe they will fall behind if they do not use AI when writing articles, without proper academic discussion. Changes like these should be knowledge-based and discussed academically, not merely decided administratively, because they alter the epistemological foundations of research. Maria wrote to me a couple of months ago because she had read my opinion piece in Aftenposten in which I called for a strong brake on the use of language models in knowledge work. She was part of a committee tasked with developing UiT’s AI strategy and was concerned because there was so much hype and so few members of the committee with actual expertise in AI. I fully support the petition. There are probably some good uses for AI in research, but the uncritical, hype-driven insistence that we must simply adopt it everywhere is highly risky. There are many researchers in Norway with strong expertise in AI, language, ethics, working life, and culture. We must make use of this expertise. This is also partly about respect for research in the humanities, social sciences, psychology, and law. Introducing AI at universities and university colleges is not merely a technical issue, and perhaps not even primarily a technical one. It concerns much more: philosophy of science, methodological reflection, epistemology, writing, publishing, the working environment, and more. […]

screenshot of Grammarly - main text in the middle, names of experts on the left with reccomendations and on the right more info about the expert review feature
AI and algorithmic culture Teaching

Grammarly generated fake expert reviews “by” real scholars

Grammarly is a full on AI plagiarism machine now, generating text, citations (often irrelevant), “humanizing” the text to avoid AI checkers and so on. If you’re an author or scholar, they also have been impersonating and offering “feedback” in your name. Until yesterday, when they discontinued the Expert Review feature due to a class action lawsuit. Here are screenshots of how it worked.