Ged Carroll

Thinking about Marcel

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Reading Time: 8 minutes

Publicis Groupe announced two things in the past week that caught the attention of the industry:

You can’t look at either in  isolation, they are both linked together.

Why the withdrawal from promotional activities?

There are various speculative takes on this:

Let’s move on to Marcel itself

It’s hard to deconstruct a corporate video to get a firm idea what the underlying form might be. The truth is that the underlying form may not even exist yet as a product brief. It takes time to coalesce an offering from high concepts to prototyping these concepts with a sampling of users. From then on you go to mapping out the functional requirements of the product and build it in a series of short sprints. Once you have a minimum viable product and tested it, you may want to tweak your project direction further.

However, when you dig into it, Marcel isn’t only about an app, but re-engineering most of the IT infrastructure as well in order to support the machine learning capability. Marcel will find it harder to learn if the data is fragmented in drives with different permissions, online services or even offline.

Carla Serrano describes Marcel as:

A professional assistant that uses AI machine learning technology across our 80,000 people in 130 countries to connect, co-create and share in new and different ways.

This won’t be like Alexa Home managing your calendar and your Spotify playlist.

AI is put in there for audience members who wouldn’t know what machine learning is. A nice succinct definition below via TechTarget:

Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. … The process of machine learning is similar to that of data mining.

Let’s tease out the functions

I’ve ignored messaging as a function as most agencies use multiple channels for messaging including Slack, email, Skype/Lync or SMS. A messaging service might be built in, some of the interfaces could be ‘call-and-response’ chat bot style interactions.

Based on Google’s Return on Information: Improving your ROI with Google Enterprise Search white paper here are some rough numbers that I came up with.

1706 - Marcel

The notional productivity gain is worth well over $400,000,000 in additional billable time, or like having almost 1,600 additional staff at little additional cost. The key word in all this is ‘notional’.

So what’s the downside to the factors outlined in the top-level view of Marcel?

Understanding the context for Marcel

The second half of the video is concept film of how Marcel would work in practice. It was likely put together to give voice to functionality rather than also thinking about tone. I would not be surprised if this was reused from an internal presentation to showcase the vision of Marcel to key stakeholders. The film has tonality in it is a bit concerning, I suspect it’s unintentional. If Marcel works as promised we would be in new territory for corporate culture however.

Having watched it reinforced to me:

How do you ensure a culture that continues to attract and retain the top talent as the organisation gets Marcel operational?

The partial removal of client services as a gate keeper between Jamie the client and Publicis talent was interesting. It would make client services job to get their arms around all the business opportunities in the client much harder. It would also be more attractive to certain clients who would feel more in control of their account.

Themes in the film:

TL;DR

Marcel is the business equivalent of playing high stakes poker. If it is pulled off successfully it would put Publicis in an excellent position versus it’s competitors. However there is a lot that can go wrong from a technological and organisation perspective.

I don’t know how much of this can be realistically achieved in the 12 months that Publicis seems to have given itself? It strikes me that this is likely to be a transformation that would require much more time in order to fully match the vision outlined.  From a cultural perspective the challenge of ‘break, build, bond’ hides the level of complexity and change going on.

The biggest risk is what happens if Publicis doesn’t meet the wider industry expectations of success with Marcel? How will that affect client perceptions of them, or their ability to hire talent? How would it affect Sapient’s standing as a technology company?

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