Marketing coordinator

We are looking for an outstanding Marketing Coordinator to help communicate our technology solutions to new and existing corporate clients. You will be passionate about and experienced in digital technologies.

Who are we?

We are a Kiwi grown software company, a leader in the digital marketing space, providing some of NZ's leading organisations the latest technologies and trends in multi-channel marketing. We work with an impressive list of clients on the most exciting brands and projects.

The position:

The Marketing Coordinator is responsible for:

  • Writing company newsletters, blogs, and our website
  • Translating complex product features and solutions into engaging stories for our clients and prospects
  • Online marketing
  • Suggesting ideas for new communication avenues
  • Developing collateral for new product enhancements
  • Helping with the organisation of Ubiquity branded events
  • Being involved in projects such as client Christmas gifts
  • Maintaining brand guidelines and ensuring that all activity fits with these guidelines
  • Any other projects that may be required to fulfil Ubiquity's customer acquisition and retention goals.

You will have:

  • At least 2-3 years' experience in a marketing role
  • A tertiary qualification in marketing communications or equivalent experience
  • Advanced verbal and written communication skills
  • Ability to quickly understand complex concepts and turn these into easy to understand features/benefits
  • Exceptional organisational skills
  • Proven ability to multi-task and meet strict deadlines
  • Proficiency in the use of Adobe Creative Suite
  • An adaptable, self-driven and positive approach to all tasks

We have brilliant team, a friendly social environment. We have ambitious goals. We are going places and proud of our achievements to date. This role will provide great career opportunity for someone keen to go far!

You must be in NZ to apply and hold either PR or Citizenship.

Marketing Executive

Join Ubiquity and work with an exceptionally smart team to deliver marketing automation solutions for New Zealand's top clients and brands across a diverse range of industries.

As an Account Executive you'll be supporting our Account Directors with their portfolio of high-value clients. You'll help them develop relationships with key contacts and support them when they demonstrate how our technologies can deliver superior marketing results.

Our culture is all about team work. You'll be joining a team that's the brightest of the bright. We'll help get you up to speed with the latest technologies and solutions that are changing the shape of marketing globally.

This is an excellent opportunity to get involved and learn in a rapidly growing industry. We love what we do and we offer a fun and exciting environment in central funky offices. And, because we're growing fast, there are opportunities to grow and develop.

Your skills:

  • 2-3 years in a client facing role
  • A good technical aptitude. Not necessarily a data-nerd, but you're savvy and willing to learn
  • A real interest in building relationships with marketing people in a corporate environment
  • Enjoy creating and delivering compelling presentations
  • Excellent attention to detail and a fine tuned ability to multi-task
  • Friendly, approachable and collaborative in all communications with clients and the team

Up for the challenge?

Please note you must be in NZ with the legal right to work permanently, to apply.

Insights Analyst

This is an exciting new role, designed in response to a rapidly growing need for Customer Intelligence and Insights. This is your chance to own this new business offering, develop a strategy and drive this new area of our business. Backed by a smart collaborative team, you will have all the tools at hand to successfully launch this new business opportunity alongside our already successful Digital Marketing Platform.

Who are we?

We are a Kiwi grown software company, a leader in the digital marketing space, providing some of NZ's leading organisations the latest technologies and trends in multi-channel marketing. We work with an impressive list of clients on the most exciting brands and projects.

We are increasingly being asked to help our clients find and provide insights; propensity models, segmentation, RFM and lookalikes.

To remain a leader in our field we're now extending our Customer Intelligence team – we're looking for new Insights Analyst's to join us.

The position

You'll join with our brilliant Account Management team and meet with clients to understand their marketing objectives and challenges and, with the support of the Ubiquity team, recommend analytics solutions that will help solve those. You'll be able to help shape their understanding of what's possible using their data, data from Ubiquity's Engage platform and from third party sources.

It's a hands on role. You'll need to use analytics tools yourself to create the data models. Once the data models are created you'll work directly with the client and Ubiquity's marketing team and platform to operationalise the results such as creating multi-channel targeted messaging campaigns.

Then we'll be looking to provide reporting and insights back to the client to help them, and us, understand the effectiveness and the results and from there how we can optimise and improve their digital campaigns and programmes.

We're looking for recommendations on different technologies we can use.

It's a recent team at Ubiquity so we'll be looking to you to help investigate, scope, plan, define and communicate the products to help deliver the maximum value to our clients. Whilst it's a fairly new team, we don't expect you to have to do it all. We'll provide the guidance, help and resources to pull it all together.

You will have:

  • Ability to understand and create data models and with at least 2 years in an analytics role
  • Experience with writing SQL to a reasonable standard
  • Have strong technical skills
  • Experience with tools such as (preferably) SAS, WPS, Teradata, Oracle
  • Experience in Tableau or similar Business Intelligence packages
  • Excellent written and verbal English communication skills

We have brilliant team, a friendly social environment. We have ambitious goals. We are going places and proud of our achievements to date. This role will provide great career opportunity for someone keen to go far!

You must be in NZ to apply and hold either PR or Citizenship.

Why Targeting Based on Customer Behaviour Just Works

Every time your customers interact with your brand they’re providing you with a wealth of information. It’s time to go beyond the basics of segmenting by demographics, to targeting based on customer behaviour.

By combining demographic with behavioural data (also known as transactional data), you’ll create more sophisticated marketing for a better customer journey.

When we refer this behavioural data as transactional data, the first type that springs to mind is purchasing data. It is actually wider than this. You could examine any sort of interaction your customer makes with your brand – visits to a web page, form, or use of an app – to improve your targeting.

What they tell us + What they do = Greater marketing ROI
Demographics & preference data Actions & behaviour a.k.a. transactional data
  • More relevant communication
  • Increased customer engagement
  • More timely communication
  • Increased revenue
Usually static or relevant for a long duration e.g.
  • Gender
  • Location
  • Subscription preferences
Usually time-based actions that describe an event e.g.
  • Visited a web page
  • Logged into an app
  • Purchased in-store

Identify and segment groups based on different customer behaviour.

Consider recency: when did your customer last interact with you? Or frequency: how often do they do so? Or monetary value: how much is your customer spending each time?

From there, use targeting to customise your messaging and offers to:

  • Continue to provide these groups with what they’re looking for and keep them as engaged customers.
  • Target prospects who are less engaged or don’t purchase as frequently
  • Nurture and target higher value high frequency customers with specific offers or products

You’ll build a stronger relationship with your customers through highly relevant marketing programmes.

Take this example:

Amy, 34, living in Auckland, makes a high value purchase every couple of months and spends more than $150 each time. Her last purchase was 3 weeks ago.

Laura, 34, living in Auckland, makes small purchases roughly every fortnight, each time spending about $30. Her last purchase was 3 weeks ago.

Nicole, 34, living in Auckland, has only made one purchase in your store in the past 6 months, spending $40.

On demographics alone these three customers appear similar. Yet their behaviour is vastly different. Marketing messages that take into account the recency, frequency and monetary value of their actions will have a greater impact on sales.

Adjust your content for each segment.

Create communications that are triggered by specific customer interactions, so they arrive when your customer will find the message most relevant. What message would most resonate based on each customer’s behaviour in the current example?

Create communications that are triggered by specific customer interactions, so they arrive when your customer will find the message most relevant. What message would most resonate based on each customer’s behaviour in the current example?

Amy: consider a VIP programme. Trigger = high value purchase per transaction.

Laura: consider a loyalty offer. Trigger = multiple purchases in a set time period.

Nicole: consider a purchase incentive. Trigger = long gap since last purchase.

Customer Behaviour Influences Your Marketing Message

Adjust your timing for the customer lifecycle.

Carefully consider the timing for each segment so that your message lands at the right point in your customer’s purchasing cycle. In the example, how would they react to an email sent this week? Let’s assume that Amy, Laura and Nicole all represent the typical actions of three different segments.

One email to all segments at the same time will result in lower conversions as they’re all at different stages of the purchase cycle.

Adjust your marketing programme timings based on customer behaviour

Amy: based on her past purchase behaviour she’s not considering shopping with you for another month. Consider scheduling your next marketing communication to less frequent shoppers (in the chart, Segment B, 45 days).

Laura: she may be receptive to an email now, though contacting her a week earlier may have been more effective. Consider scheduling this communication sooner after the last purchase (Segment A, 15 days).

Nicole: she doesn’t appear to have a strong relationship with your brand. The timing of the message may have less significance than the message itself. What offer would encourage her to shop with you again?

Base your communication timings on customer behaviour, or transactions, and you’ll be well on the way to optimising your data-driven marketing for better results.