Leveraging data-driven marketing for accelerated growth and enhanced consumer operations

Data has long been a critical component of marketing.

In fact, the first instances of data-based market research date back to the 1920s. Fast forward to today's digital-first marketing landscape, and data is sacrosanct. It informs everything, from what kinds of marketing someone sees to when and where they see it. 

However, the data marketing landscape is in the midst of a sea change, and marketers must adapt if they're to put their companies on an accelerated growth path. 

At the heart of that change is the ongoing elimination of third-party cookies by the tech giants behind the world's most popular web browsers, including Apple and Google.

These privacy-focussed changes will make it more challenging for marketers to obtain the demographic and web tracking data they've long relied on, which is why there's been so much pushback from the community. However, they also represent an opportunity to take a different approach and find new ways of doing things. 

The importance of experimentation

One of the most important steps marketers can take to adapt to this new reality is to embrace experimentation.

It's something that's long been critical to our operations at Uber, not least because we've been very careful to put data privacy policies in place that allow us to only capture data points that are critical to our operations.

So, for example, when we want to launch a new feature, we don't do so anticipating that we'll have a complete product straight off the bat. Instead, we think about establishing what an ideal customer looks like and experiment with the product based on that.

In some cases, this might entail:

• launching slightly different versions of the product to different users
• seeing how they interact with it
• where they drop off, and
• what brings them back.

This data can then be fed back into the product until it reaches a point where it really enhances the customer experience. This is the exact same process we follow in our growth strategies since it allows us to:

• move fast
• learn quickly, and
• adapt according to what really drives growth and the right client behaviour.

Successful experimentation

If you want your marketing experiments to play that role; however, you have to know how to run them successfully.

The first mistake companies make is not to prioritise the build and design of technology that will allow them to run experiments seamlessly across multiple teams (especially their growth and / or marketing teams), which allows them to analyse the results immediately.

So prioritise and invest in the necessary technology.

Secondly, they need to spend time:

• formulating their hypothesis
• clearly defining their primary and secondary KPIs
• creating a controlled environment (as much as possible, but in the real world it will never be perfect and that is okay)
• thinking about execution before launch, and
• testing one hypothesis at a time.