Customer Lifecycle Marketing & Personalisation
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Greeting someone by their first name in an email is not ‘personalisation’
Customers expect much more. They are time-poor, and they are looking for easy ways to connect with brands. This means seamless, customised experiences that feel like a part of their everyday life, instead of heavy promotions & aggressive marketing. To achieve this, you need the ability to send entirely unique communications (from marketing to onboarding) to every customer, no matter the channel they are interacting with. You especially want to be able to do this for your most loyal customers.
- 72% only engage with messages customized to their interests
- 80% only frequently shop with brands who personalise the experience
- 63% stop purchasing from companies who provide poor personalisation.
Despite this, the opportunity is largely untapped. Although 89% of companies are investing, only 36% have even basic website personalisation. Even if companies have the right data and the right tools to get personalisation right, because of wrong measures or processes, they are often creating more detractors than advocates. Getting this right drives significant improvements, not only for start-ups and scale-ups, but established corporates too: considerably reduced acquisition costs, revenue lifts of typically 5-15%, and conversion rates, lead gen, visitor engagement, customer experience and brand loyalty all improving. If there was ever a ‘silver bullet,’ or ‘golden ticket’ to growth—it’s this.
The ‘status-quo’ is holding companies back from nailing personalisation
Getting lifecycle marketing right requires a robust data architecture. To create behavioural and personalised campaigns across every channel, you need to understand what your customer journey and touch-points look like, how you can leverage different tools, and most importantly—ensure your customer data and events are consolidated, flowing in an automated solution.
This is not easy. Many companies are struggling because the advances in the space are new, and are hard to implement correctly. As a result, they instead circle back to traditional ‘spikey’ communications like newsletters, discount promotions, and paid channels, which are necessary to meet KPIs and see a spike in revenue. These strategies have their place, but over-reliance on them takes the focus away from more-effective layered strategies like customer lifecycle marketing—which are more subtle, personalised and engaging. Spikey strategies are expensive without creating lasting performance improvements, whereas layered strategies are engaging, build trust and increase lifetime value.
Getting personalisation right requires business acumen and funnel understanding, and cross disciplinary expertise in growth, monetisation, marketing, analytics, product development & engineering. There’s no out-of-the-box solution, especially if you are migrating an existing set-up and cleaning big customer data sets. There are a lot of things that can go wrong (e.g. data interruption) so it becomes a bit like changing the wheel on a moving car. Most companies do not have someone with this skill-set, or are unable to bridge the gap between their teams to make this happen. That’s where we come in.
Build customers for life with personalised lifecycle marketing, at scale.
The team at ikaros are experts and pioneers in the field of customer lifecycle marketing, having built and scaled hyper-personalisation engines for companies of all sizes and industries. We’ll help you navigate the new space, and tailor an analytics infrastructure and marketing stack to your business needs, including:
- Customer data clean-up and customer data platform set-up
- Cross-channel communication set-up (retargeting ads, email, sms, web, in-app), ensuring personalisation is channel agnostic
- Drawing behaviour derived preferences
- Tailored onboarding & marketing flows that convert
FAQs
Can I do this myself?
It depends. To some extent the answer is yes. If you have a simple product and clean data in the necessary systems, you should be able to implement some personalisation across your comms. In most cases, however, that’s not the case and you need a better underlying data architecture to nail this topic. You need the experience of which events work well to track, what customer journey and touch-points should look like, and how you can leverage different tools across your data & marketing infrastructure to suit your needs.
Why does it matter?
Lifecycle marketing and personalisation aren’t particularly new concepts; they’ve been buzzwords for a while now. Despite this, the opportunity is largely untapped. Although 89% of companies are investing, only 36% have even basic website personalisation. There’s a disconnect between what’s trending, and what people are actually doing, which means there’s a great opportunity to pull ahead of competitors. Companies that have cracked the code are doubling down on their analytics stack and personalisation efforts, and reaping the rewards. They are seeing significant improvements: up to 50% reduced acquisition costs and revenue lifts of 5-15%.
What does it look like?
There isn’t a one-size-fits-all solution to personalisation. The correct customer lifecycle marketing infrastructure depends on your industry, size, existing set-up and goals. Our approach begins with your infrastructure—we establish a customer data platform, consolidating all your sources of customer data into one clean source of truth. From here, we’ll help you choose and set-up the platforms you need to send comms, orchestrating the data flows to enable personalisation. Finally, we’ll help you run experiments, creating tailored onboarding and marketing flows that create customers for life.
Can I build my own tool / do I need to use third party tools?
The choice is yours, but we like to think of this from a total cost of ownership perspective. Building your own solution is complex—and takes time. In our experience, we advise companies to focus on the core business and get the best tools available to accomplish their objectives, even if that means paying for it.
What do I need to have in place?
You need the right data infrastructure, the right data flows, and the right customer attributes/events pulled together into an automated solution. If you’re using multiple platforms to collect data, you need to make them to talk to each other. Ideally you have a customer data platform in place, otherwise we can help set this up.