By Susan DeMatei and Sara Redahan – Wine Glass Marketing
Imagine you are on the marketing team for a direct-to-consumer (DTC) winery, dutifully sending out emails to your newsletter lists and club members, updating posts across social media channels, maybe even sending print notices through the mail. And yet, there does not appear to be any increase in sales conversions or an uptick in club sign-ups. Perhaps there is even a sense of things going into decline. But no one can say why or understand what is contributing to the stagnation.
This confusion is often the case when a new client comes to us, and asks for help. Our response usually starts with, “What does your data show?” To which we often receive a slightly blank or confused stare. Unfortunately, data gets a bad rap as either a bunch of random numbers or as something scary or indecipherable. For the clients who do understand the value of their data, they are often unsure where or how to pull the data to guide their marketing strategies. This mindset requires a reframe – data is not just numbers and figures, it is quantified behavior. Each data point represents an action – a behavior – of the customer. Viewing data in this light allows us to understand how our clients act; then we can anticipate those actions and adjust our marketing strategies to match.
So what kind of data gives the most insight? Well, that depends on where you are looking.
Emails
The three essential statistics to consider in email campaigns are open rate, click-through rate, and bounce rate. Open rate and click-through rate will show how many people opened the email and clicked a link, and allow you to understand how your customers are engaging with your marketing. Bounce rate will tell you how many people on your list were unreachable, giving you a snapshot of the health of your database. All of these metrics are the most helpful when compared over time, or with industry standards from a company like Mail Chimp. By tracking a series of emails you can set goals, and experiment with your content to see how your audience reacts to different messages and set-ups.
For example, WineGlass Marketing had a client with clear branding and what they thought was a strategic plan for email releases, yet their open rates were low, and the click-through-rates were abysmal. They asked us to look at the emails and determine how to improve engagement rates. We examined the emails based on category (newsletter, club emails, special releases), and looked at the types of promotions offered. We also charted the open, click-through, and bounce rates for all emails from the previous two years to determine any patterns. What we found was significant disorganization in email schedules (no clear pattern regarding time of month or distribution across months), confusing subject lines, and obscured links (or no links at all.) Using this data, we were able to convince them to engage in a round of A/B Testing, where we systematically varied aspects of the emails. With each test, we isolated components of the emails that their audience responded well to, and were able to build an email campaign with over a 15 percent increase in open rate and a 10 percent growth in click-through rate.
This client eventually implemented a staggering of promotions, newsletters, and club emails intertwined with triggered emails. This strategy created a conversation between the winery and their customers that resulted in increased engagement and sales.
But how do we measure the success of an email campaign and attribute sales to a particular email?
As many DTC wineries know, much of the sales from campaigns do not directly link back to email clicks. Maybe the person came into the tasting room later that month and referenced the email, or maybe someone was more comfortable phoning in their order. Perhaps they clicked through the email links, abandoned the cart, and then came back to the website later and made a purchase. How do we track these types of conversions? For phone calls and tasting room sales, we help train staff to use order notes or source codes to indicate the email campaign. For website sales, we use Google Analytics, an incredibly powerful tool that is both easily setup and often under-utilized. Our favorite function allows us to tag links used in email campaigns and on social media posts. These tags feed information back to Google Analytics on the behaviors of those who click-through to the website using email links. We can directly track the success of these campaigns by the bounce rate, by the number of and what pages are viewed, if a conversion is completed, and if the individual returns to the site at a later date.
Website
How do users find your website? Once on there, what pages do they view? Does your site encourage conversions and what is the conversion rate? Are you putting your marketing resources in the channels with the highest return?
If you have asked yourself any of these questions, then you should be using Google Analytics to help refine your marketing strategies. Surprisingly, many of our DTC clients are not using this tool, or if they are, it is at a very shallow level, barely accessing the data collected. We believe data is behavior, and the more we utilize data and data analytics, the more we can impact future actions.
One area of Google Analytics that we have consistently seen under-utilized is the setting of goals. Setting goals does not require the eCommerce functionality to be engaged and allows you to track conversions and utilize other tools, such as funnels and assisted conversions, that would otherwise be inaccessible.
Funnels can be extremely important when understanding site functionality and how that is impacting sales. For example, we had one client who was sending emails to their newsletter promoting the release of a limited wine. The email itself had a high open rate and a substantial click-through rate but generated few sales, and we noted a significant number of abandoned carts. Because we had a funnel set-up, we were able to see at which point during the purchase process individuals were dropping out – in this case, it was when the visitor clicked through to the shipping address page after the billing address. By editing the website, we were able to optimize their online sales funnel and improve conversion rate. Google Analytics also allows business to set goals and funnels for non-sales conversions, such as club membership or newsletter sign-ups, and these goals can help optimize those sessions as well.
Setting goals also allows tracking what Google Analytics refers to as “assisted conversions.” An assisted conversion is a marketing channel that assists with, but cannot be directly linked to, a conversion. What does this mean? Imagine you engage in paid promotions or boosted posts on social media and notice a high number of link clicks. However, you do not see any conversions linked to social media or referral sources. It may be that these channels are providing an assist – someone visits your site by one channel, explores a bit and leaves, then a few days later returns from a different channel (usually directly or by a search engine) and then makes a purchase or signs up for the newsletter. The original channel will be credited with an assisted conversion, but only if goals are set beforehand. Across our DTC clients with goals, we have found that approximately half the conversions occur on the first interaction with the site, with an additional 20 percent happening on the second interaction, and the remaining needing three or more interactions for conversion. Therefore, you want to be driving people to the site multiple times, and from various sources.
Using Google Analytics not only allows WineGlass Marketing to track the functionality of a website, but the impact marketing strategies have on a website visits as well. A good example of this is paying for ad space on third party sites. One of our clients who does off-site tastings was paying almost $6,000 a year for a listing on a trip-planning site. However, Google Analytics was showing less than 2 percent referral rate from this site per month. We were able to use that data to renegotiate with the listing site and improve our client’s visibility on their pages. Keeping track of your data allows you to know if you are spending your marketing budget in the right channels, and what type of return on investment those channels provide.
Social Media
Social media is a funny beast. From Facebook to Twitter, Instagram to Pinterest, and all the various sites between, social media offers a unique way to interact with your customer base and provide a way to promote your brand, narrative, and promotions in a cohesive way. Social media also allows your audience to engage with you, and responding to posts and comments is an easy way to increase a potential customer’s awareness of and positive associations with your brand. When looking at how successful a post is, you must look beyond the reach of the post. Reach and impressions refer to how often a post was seen on timeline feeds – it does not indicate engagement. What is better – a post that reaches 500 people or 1000? What if we said the post that reached 500 people had a 25 percent engagement rate and the post that reached 1000 people had 10 percent. You can argue the 25 percent is better (125 versus 100 interactions). Some platforms will provide insights or analytics with your engagement rate, whereas other platforms require a little more work on your end to calculate it. Overall, examining engagement is the best way to determine what types of posts your audience participates in and how well social media is being used to help your brand awareness.
One and Done?
Data is, in a sense, a living-breathing organism. It will change daily depending on how your customers behave. Looking at your data is not a one-time-fix-all for your marketing team. You should integrate data with every campaign, both as a post-mortem and as part of the planning for the next campaign. Your marketing strategies should change and adapt as your customers do, and what works for one segment of your database might not for another set. Perhaps what was once a successful marketing strategy is slowly decaying, and you need to refresh your message. Analyzing your data on a monthly basis will help you craft your marketing messages and allow your brand to shine.
Susan DeMatei is the owner, and Sara Redahan is the Analytics Supervisor of WineGlass Marketing, a full-service direct marketing firm working within the wine industry in Napa, California.