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Digital Customer Insights Manager

London
£55000 - £65000 per annum
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CUSTOMER INSIGHTS MANAGER

£55,000 - £65,000

LONDON

Do you want to work for a fast-paced fashion brand and leader in the industry? This high-end fashion retailer with a huge online presence is seeking a Customer Insights Manager for this stand-alone within the ecommerce team

THE COMPANY:

This is an opportunity to work with a leader in the high-end fashion industry. They are seeking a hungry Customer Insights Manager to take the lead in understanding the behaviour of their customers from a digital perspective. You would be analysing and pulling meaningful insights, reporting on the traffic and mapping out the customer journey.

You will be reporting into the Head of Digital Marketing and supporting the team across different channels, deep diving into the analytics. This company is driving their data strategy and pushing investment.

THE ROLE:

  • You will own and manage the online analytics
  • The role will involve regular reporting on the traffic as well as analysing the conversion.
  • You will be solely responsible for the development of the visualisation techniques to provide meaningful insights.
  • You will enhance insights by merging web analytics data with additional data sources.
  • You will be pulling data with sophisticated analytics tools and reporting with strong stakeholder engagement.
  • Your manager is a big advocate of Python and ML, giving you scope to learn and develop in this space.

YOUR SKILLS AND EXPERIENCE:

As the Customer Insights Manager, you will have the following skills and experience:

  • Proven web analytics experience - Google Analytics/GA360, Adobe Analytics
  • Proven experience in a retail/ecommerce environment
  • Proven experience with SQL
  • Commercial experience with visualisation, reporting tools such as Google Data Studio, PowerBi

THE BENEFITS:

Up to £65,000pa (depending on experience)

HOW TO APPLY:

Please register your interest by sending your CV to Kirsten Swanepoel via the Apply link on this page.

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72485/KS
London
£55000 - £65000 per annum
  1. Permanent
  2. Web Analyst

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‘Tis The Season Of Data: Black Friday Is Here

It’s that time of year again. Decorations are going up, the temperature is dropping daily, and the year’s biggest shopping weekend is upon us.  Black Friday and Cyber Monday may have started stateside, but they’re now a global phenomenon. This year, in the UK alone, shoppers are expended to spend £8.57 billion over the four-day weekend. But, for retailers, this mega-event means more than a cash injection. In the world of Data, insights gained from shopping and spending habits during this period can dictate their product and pricing strategies for the next twelve months.  So what is it, exactly, that we can stand to learn from the Black Friday weekend? THE GHOST OF BLACK FRIDAY PAST There are a few interesting takeaways from 2018’s Black Friday weekend that will likely impact what we see this year.  Firstly, and perhaps unsurprisingly given that it’s a few years since the event has become omnipresent, spending only increased about half as much as initially predicted. There are a number of reasons for this, but cynicism plays a central role. More and more, consumers are viewing Black Friday deals with an element of suspicion and questioning whether the discounts are as good as they’re promoted to be. This, combined with other major annual retail events, such as Amazon’s Prime Day, means that this weekend no longer has the clout it once did.  However, 2018 also saw marketers doing more to stand out against the competition. Many businesses have moved away from traditional in-your-face sales messaging and some are even limiting their Black Friday deals to subscribers and members. By taking this approach, their sales stand out from the mass market and can help maintain a level of exclusivity that could be jeopardised by excessive discounts. In addition to branding, marketers making the most of retargeting saw an even greater uplift in sale. Particularly when it came to the use of apps, those in the UK using retargeting saw a 50% larger revenue uplift than those who didn’t.  So, having reviewed last year’s Data; what should businesses be doing this year in order to stand out? GETTING BLACK FRIDAY-READY WITH DATA Businesses preparing for Black Friday need to take into account a number of considerations involving both Marketing and Pricing. For the latter, Data and Predictive Analytics play a huge role in determining what items should go on sale, and what their price should be.  Far from just being based on gut instinct or word-of-mouth, algorithms derived from Advanced Analytics inform Machine Learning models that determine what should be on sale, and for how much. These take into account not only how many of each discounted product need to be sold to produce the right ROI, but also what prices and sales should be for the rest of the year in order to make the sale financially viable.  In terms of Marketing, Deep Learning techniques can be used to accurately predict Customer Behaviour and purchases. These predictions can then reveal which customers are likely to spend the most over the weekend, and which are likely to make minimal purchases. Marketers can then, in the lead up to Black Friday, target relevant messaging to each audience whether it be “get all you Christmas shopping in our sale” or “treat yourself to a one-off item”. By carefully analysing the Data they have available and reviewing the successes and failures of their Black Friday events, businesses can generate greater customer loyalty and improve their sales year-round. If you’re looking to build out your Marketing Analytics team or take the next step in your career, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 

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