The pandemic has been conducive to marketing automation
The COVID-19 pandemic has brought many changes to our society and at an organizational level. Digital operations have accelerated at great speed and the adoption of new technology has accelerated in every sphere of our existence, reinforcing the importance of having a digital strategy focused on the human.
In its latest analysis of the digital maturity of companies, Forrester underscores that the most advanced companies all employ cloud-based data as much as possible, work with integrated partners, involve clients early in their decision-making processes, and apply design thinking and agile methodologies. All these aspects that are essential to growth form the foundation of marketing automation.
Naturally, not all Canadian companies are the size of Apple, Google, Facebook, Amazon, Microsoft or Netflix, and of course not all of them want to be. The digital maturity of these companies, which is particularly noticeable in the way they use first-party data to offer a high-quality experience to their users, is still a good model for others who would like to implement an effective automation strategy.
Furthermore, the recent Harvey Nash/KPMG survey of executives in the technology sector (the details of which were published in French in this La Presse article) demonstrates that digital leaders generally invest between 25% and 50% more in technology than their competitors, are two times better at earning the loyalty of their customers than others, three times better at creating a positive customer and employee experience, three times better at increasing their field of activity, three and a half times better at increasing their revenue and profit, and four times better at improving their operational efficiency.
Nevertheless, it’s hard for a small or medium-sized business to launch these kinds of digital transformations when their human resources, like their budgets, are limited. That’s why it’s essential to plan your marketing automation strategy by identifying the best candidates for a proof of concept.
Before continuing, keep in mind the following principles of marketing automation:
- Automation is an investment. It takes more time to configure automation than to execute a single task within a workflow that is already operational. It’s crucial to spend time planning and prioritizing upgradeable automation instead of targeting an ideal workflow at the start. To begin designing your strategy when you have limited resources, you should, for example, put 10% of your least profitable activities on hold in order to invest this time instead in the creation of your automation strategy.
- Marketing automation requires an understanding of first-party data and the users it is being built for, whether these users are clients or team members. When it comes to automation created for the customer life cycle, a company must have recourse to channel reporting tools to understand their user journeys (ideally omnichannel) as well as strategic planning tools for persona definition and user journey mapping. These tools can then facilitate decision-making.
- Marketing automation requires technological tools (such as marketing automation or customer engagement platforms) and a certain familiarity in order to use them effectively. Most platforms offer training and/or very rich documentation to help you get answers to your questions regarding their implementation and use.
Analyze customer acquisition and conversion journeys with first-party data.
Whether you’ve already started automating your communications or you’d like to begin the transition soon, it’s important that you determine, first off, if there’s a possibility of measuring your top-line results (revenue generated, conversion rate), without which the definition of your business case comes to an end.
A good point of departure might be to verify that your conversion goals are parametrized in Google Analytics if you sell exclusively online, or in your CRM if your sales come from a range of sources. From there, you can get a view of your mobilized channels and your active campaigns, as well as their impact on the revenue you’re collecting. If you’re using several attribution models, I recommend you also base your analyses on the last point of contact when conducting your attribution process, to make things simpler.
First define an ideal period for analyzing your industry (for example, the last 365 days if your activity has a strong seasonal element, or even the last 3 to 6 months if that isn’t the case) and keep the same period for future analyses.
Then, note the conversion rate by channel and compare the results to industry statistics to get a better idea of the optimization potential. Finally, note your revenue as well as the share of revenue generated by channel and (ideally) by campaign. This will enable you to then establish a useful order of priority so your future marketing efforts can be established more efficiently.
Define your operational pain points and determine their level of standardization
Now that you have a good idea of your optimization potential, you can proceed to a targeted analysis for each mobilized channel, with the goal of determining the quantity of effort invested by your organization to execute them on a monthly basis. To do this, identify the main tasks related to the use of each channel and attribute a value to them relative to their level of standardization.
Example:
- High standardization: you must follow a documented procedure to effect the task
- Low standardization: the task is always completed through a measurement procedure that is hard to standardizeIf you’ve already identified the actions you would like to effect in the future, add them to the list and assign them an estimated standardization level.
Once this is complete, you’re now ready to more clearly target your operational pain points. In order to establish their order of priority for resolution, you can arrange them in a Cartesian coordinate plane showing the level of standardization of the task and the time required to effect the task. This will help you to quickly identify the most productive opportunities for implementing marketing automation.
Target a marketing automation tool for a proof-of-concept and get started
Once your brainstorming is finished, you’ll have a list of marketing automation solutions in hand with a potentially high impact on generating revenue and saving time.
If you were able to identify which technical solutions to mobilize, you can then invest some effort on those that are easiest to set up. If, on the other hand, the technical aspect remains fuzzy at this stage, you need to do a bit of research within the documentation provided by the platforms you’re using, or even obtain some technical advice (from an IT service or consultants).
Next you should set up the best potential solution. Ensure you keep a written record of your time and other investments needed for implementation—this will really come in handy when it comes time to put together a report.
Here’s another tip for this step: Give preference to the simplest execution possible while always prioritizing efficiency over quality. For example, if you’re creating automated emailing, don’t spend too much time on designing the email. This aspect can be refined later, during optimization phases.