Case Study: Using Google Analytics and Social Media to Create Actionable Marketing Intelligence
Learn how Studio Hyperset helped a Caribbean tourism authority use Google Analytics and social media data to create actionable marketing intelligence.
For some time now, a national tourism authority in the Leeward Islands has used traditional mass media efforts, tourism-focused events, and email newsletters as its primary marketing efforts. In 2016, the board decided it wanted to supplement these efforts with a range of digital initiatives aimed at:
Establishing an active social media presence that allows the tourism authority to continually raise awareness among, connect with, and learn more about potential travelers
Nurturing this presence so it generates actionable intelligence that can be used to inform the tourism authority’s total marketing efforts and, ultimately, increase visits to the island
Thanks to a referral from our professional network, the tourism authority asked Studio Hyperset to help with these initiatives. In January of 2017, we began working on the following solution.
Studio Hyperset used four distinct phases of action to build a solution for the tourism authority.
Google Analytics Deep Dive
Social Media Content Strategy
Social Media Posting and Analysis
During the first phase, we explored all Google Analytics data generated by the tourism authority’s marketing website in 2016. At the time, this was the most comprehensive set of online marketing data available. This deep dive allowed us to identify important information about site visitors including:
- location information
- traffic sources
- browsing habits, interests, and trends
For example, we found that 87.35% of visits to the site originated in just five countries. We also found 50% of American traffic originates in eleven major urban areas, 45% of UK regional traffic originates in three major urban areas, and 45% of Canadian regional traffic originates in seven major urban areas.
Other important findings follow:
- We discovered that most site visitors — especially those from Canada, the US, and UK — are first-time (vs. returning). As a result, we know the site has substantial engagement opportunities.
- We were able to create a list of sources, mediums, and social networks that funnel each national group to the site. This helped us choose content partners and select platforms on which to publish.
- We were able to create a list of keywords and pages popular with each national group. This helped us fine-tune our understanding of likely travelers’ interests.
In phase two, we used this aggregate information to build portraits of three broad tourist types: Caribbean “locals” from other Leeward Islands, Americans from the contiguous United States, and “Commonwealth visitors” from the UK and Canada. While they overlap in some cases, we used these portraits to create a content and platform strategy focused on the behavior, interests, motivations, and concerns of each traveler type. For example, the following Venn diagram illustrates the mutual and unique content interests of each traveler type.
In phase three, we used these personae portraits and our other phase two conclusions to create strategy-driven social media posts, which we began publishing on platforms known to be popular with the three visitor types. As the following table from February 2017 illustrates, each month we track raw, aggregate post engagement:
Once per month, we include this information in a report that includes detailed demographic and location information about the tourism authority’s social media connections. This combined report is a strategic workhorse. It allows us to:
- identify popular partner targets and post themes
- draw important conclusions about the efficacy of our efforts
- identify popular platforms, markets, and demographic targets for paid campaigns
- create a feedback loop that helps fine-tune messaging effectiveness and ensure traveler profiles are as accurate as possible
- identify popular messaging for the tourism authority’s other marketing outreach efforts
Our first-quarter data was unambiguous: the tourism authority’s most popular posts appear on Instagram and focus on dining opportunities and island events and activities. In stage four, we were able to use this data to design a paid Instagram ad campaign focused on likely summer travelers in Texas. When interested visitors click the ad, they’re directed to a interactive, mobile-first landing page.
This page has the following goals:
- connect and generate conversations between interested travelers and service vendors on the island
- increase summer travel to the island by highlighting events, activities, and dining opportunities travelers will encounter on the island during the summer months
- gather actionable intelligence about the interests, needs, and demographics of the island’s typical summer traveler that can be used to inform future campaigns, marketing efforts, content offerings, and social media activities
- make meaningful connections with travelers that the tourism authority and its partners (resorts, airlines, tours, restaurants, &c.) can use in conversion efforts and future marketing campaigns
The following flowchart represents the ways the various campaign elements work together to drive traffic, sharing activity, and conversion events for the tourism authority and its partners.
Our first-quarter data has also allowed us to standardize lead stages; improve lead flows; scope a WiFi-based, lead-generating login system; and propose email content adjustments that emphasize social media content and encourage engagement activity.
- data-driven social media posts
- monthly intelligence reports
- campaign landing page
- lead stage/flow funnel visualization
- email engagement workflow visualization
- WiFi lead capture plan
- interactive, lead-generating landing page
At a high level, Studio Hyperset’s solution:
- increases lead generation
- improves understanding of key marketing data points and workflows
- increases social media connections
- enhances knowledge about likely travelers
- uses a feedback loop to test and improve messaging and to identify effective platforms and market targets