Predictive analytics: Using data to forecast Q3 and Q4 trends
By the time you see a trend, others have already started to act on it. Predictive analytics can help you identify early trends and patterns so that you can make better decisions for your upcoming content, marketing, and more.
That means that instead of guessing or only relying on intuition, you can use analytics to help you predict the later half of the year and plan for it!
It’s important to note that predictive analytics aren’t about predicting the future with complete certainty. If we are being honest, that’s just never going to happen. Instead, it uses historical data, customer behaviour, and other analytics to identify patterns and to estimate what will likely happen next so that you can better prepare for the future.
This means businesses can pull insights from a variety of sources, including website analytics, social media analytics, email marketing metrics, sales data, customer service inquiries, and search. Looking at all the sources of insights and data that you have access to can help provide a more complete and detailed picture of your customers' behaviour.
Marketing is driven by data and insights. It’s also often shaped by customer behaviour, which can change depending on various factors such as channel, season, etc.
The latter half of the year (Q3 & 4) is also one of the biggest and busiest, thanks to occasions like back to school and the holidays. So for many businesses it’s extremely important to have a thorough plan for this time of year.
How does it all work?
Since we’re heading into the summer season, let’s use the back to school season as an example.
Using analytics, businesses can look at historical data as well as customer behaviour to identify trends. This could be something like website visits spike in mid August. Let’s take this a step further. Maybe the data shows that website visits and certain keywords trend around mid August, conversations and direct messages may increase on social media around this time, and then in store visits ramp up at the beginning of August as parents prepare to send their children back to school. Having a clear picture of these analytics and insights can help you plan for every step of a customer’s journey.
What to watch out for?
Here are a few things to consider while reviewing the data available:
What are the metrics that impact your marketing and overall business goals?
What does past data show you? Are there patterns that may trend again?
Is there a pattern in your customers behaviour during the period of time typically?
Are there any current trends or real world happenings that could affect this period? For example, you may find that your customer demographic is increasingly using AI (like ChatGPT or chatbots) to influence their shopping decisions.
Are there patterns across channels?
Remember when I said you don’t have to rely completely on intuition? Well, although data is amazing, it should be paired with a human. What I mean is that intuition and experience is important too, so use what you know too!
Are you ready to make your Q3 and Q4 strategies more data-driven?
As you prepare for the next 6 months, start by identifying the data you already have, whether that’s social media data, website data, etc. You can also look at broader shopping insights.
From there, explore how predictive analytics can turn those insights into an advantage and can help guide your upcoming marketing decisions.
Not sure how to tackle predictive analytics for your own business? Book a free consultation and we’ll figure it out!