Marketing is not anymore just based on ideas and intuition. It’s driven by data.
Marketing analytics has never been more critical for businesses seeking to make insightful decisions, better their campaigns, and, most importantly, yield results.
Whether you are in charge of the marketing for a small startup or you work as part of the marketing team for a global corporation, being able to leverage marketing analytics can revolutionize your strategies. As a personal guide for how to do so, this will be the first of a four-part blog post series that will review “best practice” approaches on how to do so, covering key benchmarks, tools, success profiles, and trends. You’ll end with some very tangible ways to up your marketing game.
The Significance of Analytics in Marketing
At the heart of marketing analytics is the process of collecting, analyzing, and interpreting data in order to determine how well your marketing is working. And it allows you to be data-driven rather than have a feeling in your gut.
Why does it matter?
To put it simply, marketing analytics provides answers to questions such as:
-
What campaigns are generating the best ROI?
-
Which channels show the greatest amount of engagement?
-
Who are your best customers?
It’s through this aspect of analytics that companies manage to make better budget allocations, improve conversion rates and leave their customers happier.
Key Marketing Metrics You Should Know
Before we dive into tools and tactics, it’s important to also understand the fundamental metrics that make successful marketing analytics.
Return on Investment (ROI)
It measures the returns of your marketing efforts. It fills in the million-dollar blank that every marketer is asked — “Are we making more money than we’re spending?”
How to calculate it:
ROI=(Revenue from campaign− Cost of campaign)Cost of campaign ROI = \frac{(Revenue from campaign - Cost of campaign)}{Cost of campaign}
A good ROI means your marketing is effective, and a negative ROI means that your marketing needs improvement.
Conversion Rates
Conversion rates represent the percentage of users who meet a specific goal (i.e. sign up for a newsletter, purchase, etc.)
This is an important metric for determining the efficacy of your calls to action and potential weak points in your conversion funnel.
Customer Lifetime Value (CLV)
CLV is the total revenue you can expect a customer to generate throughout their interactions with your business.
Why it matters:
-
Pinpoints which of your customer segments are most profitable.
-
Assists in spending your marketing budget wisely to keep your best customers.
Engagement Metrics
You can gauge your audience’s reaction to your content with metrics that include clicks, shares, comments and time spent on pages. A high engagement rate typically tends to convert well and ensures brand loyalty.
By concentrating on these measures, you gain a real understanding of your marketing effectiveness and profitability plus you can effectively make strategic decisions.
Key Tools for Marketing Analytics
Analytics Software:
Every data-driven marketing team needs analytics tools. Below are some of the most popular choices that suit businesses of different sizes and requirements:
Google Analytics
Here are some for you: Since we are in marketing, Google Analytics is something that’s been in use for a long time and it offers a lot of data about:
-
Web traffic (who is visiting your site, and for how long, and where from).
-
User actions (what are the best-performing pages).
-
Tracked conversions (whether the visitors are performing the desired actions).
Pro Tip:
Integrate Google Analytics with Google Ads to have a full view of your paid campaign performance.
Adobe Analytics
Etiquette for enterprises Adobe Analytics offers sophisticated features including predictive analytics and cross-channel data integration. It’s the Swiss Army knife for businesses who need enterprise-level segmentation and analytics creation.
HubSpot
HubSpot’s analytics capabilities are built directly into its marketing platform, which means that you can monitor all of your campaigns and get a sense of the overall ROI from this single place. It does a great job of managing leads for marketing and nurturing, which is why so many inbound marketers love it.
SEMrush
For SEO and content marketing junkies, SEMrush provides wonderful data such as keyword rankings, back link audits, and competitive analysis. It is perfect for creating a content strategy that your audience wants.
Data Visualization Tools
Tools like Tableau and Microsoft Power BI are helping users grasp complex data through simple, easy-to-understand visual dashboards. These solutions help turn raw marketing data into insights that can be easily shared with non-technical team members.
Whichever tools you’re wielding, they need to be geared towards your marketing objectives, and you should ensure your team is capable of effectively analyzing the results.
Real-World Success Stories
Numbers are useful, but learning how companies put marketing analytics to use in reality is even better. Consider a couple of examples:
Spotify’s Discovery Playlists
Spotify uses that data to make personalized playlists like “Discover Weekly” that engage users and keep them hooked. Spotify has taken on the competitive market of music-streaming and in doing so has created a major shift in how firms view customer retention and satisfaction through simply listening behavior and preference analysis.
Netflix’s Reconnoitred Suggestions
Netflix logs everything from a user’s viewing history to the time of day users watch content. It puts these insights to work so that you receive highly-targeted recommendations. The company’s user-first values have resulted in greater customer satisfaction, user retention and higher sales of Netflix-produced content.
The two brands prove the value of customer data and marketing analytics when it comes to improving user experience and increasing brand loyalty.
Trends in Marketing Analytics to Keep in View in 2018
The world of marketing analytics is changing quickly, and fresh new concepts are transforming how businesses gain more specific insights:
AI and ML (and the AI even further below)
Contemporary AI can forecast future trends, automate mundane analytics tasks and surface insights otherwise overlooked by humans, and tools such as ChatGPT are getting incorporated into analytics platforms to offer actionable suggestions on the fly.
Predictive Analytics
Predictive analytics predicts the future, instead of looking at the past. For instance, If you know which marketing channels to double down on in the following quarter, you can budget your resources more wisely.
CDP (Customer Data Platforms)
CDPs such as Segment consolidate customer data from numerous touchpoints into a single source of truth by which marketing can have a comprehensive view of customer behavior.
Privacy-Centric Analytics
As the concerns for privacy grow, so will the need for companies to ensure their platforms are GDPR, CCPA and other compliant. Privacy focused tools let you maintain and analyze data without undermining user trust.
Keeping on top of such trends can offer a big advantage to your marketing strategy.
Turning Insights Into Action
Marketing analytics is no longer a luxury. It is an integral part of running campaigns in a more and more competitive world. Through concentrating on metrics that matter, using kick-ass tools, and keeping your ear to the ground on what’s new, you can make your marketing efforts data-informed rather than data-driven.
Whether you’re measuring ROI, learning about customer lifetime value, or integrating AI into your marketing strategy, there’s always new things to learn and optimize. To start, make sure that your company has the appropriate analytics framework in place.
Seeking actionable advice and expert recommendations? Sign up for our newsletter to get the latest articles on Marketing analytics and stay updated on the Inceptive blog!
Learn how analytics in marketing complement innovations like chatbot apps, transforming customer engagement strategies across industries.
Rosemary Barker