We’re always approaching a special season or a seasonal event. Marketers would instantly think of a way to use such an occasion to launch a campaign especially if their target audience is very interested in this season. Special seasons campaigns are very hectic to plan. Online activity has different peak hours and users interact with different types of campaigns differently. Social media platforms turn into a battlefield between different brands. We listed 4 ways online historical data can help your team during special seasons.
When you need a cheat-sheet
Any digital marketer wishes for a cheat-sheet of everything he/she needs to get more engagement on social media during special seasons. This amazing cheat-sheet would definitely include the type of content, platforms to post on, and the perfect time to post.
This data isn’t really hard to get, had it been about a regular month. Usually, marketers go on to experiment with online content until they find the perfect time to reach their audience and prospects.
Marketers often find themselves unable to experiment as much as they’re used to due to the short duration of these seasons. Each piece of content they post is relevant to the whole campaign and should not be compromised.
What you need is raw data and insights about the most trending an engaging content from last season. Instant access to online historical data is essential to those who depend often on retrieved insights. Crowd Analyzer is one of the few tools that provide subscribers with instant access to online historical raw data.
You missed a competitor there
Well, that’s a tough one. You’re preparing your marketing plan for the coming campaign, but you discover that there’s a crucial part missing; competitive analysis.
As the competitive analysis is a pillar of any marketing campaign, it is even more important during special seasons. The last thing you want to see yourself doing is scrolling down tens of social accounts and pages to find results that may or may not be as accurate as they should be.
Online historical data is awesome in these situations. All you need to do is create a query that includes all the keywords related to your brand and your competitors. You will instantly get access to all the data during a selected time-frame.
Knowing the most interactive type of content
You are trying to launch a new campaign to promote your company’s product during special seasons and you have never launched a similar one before. You will need to analyze campaigns that were similar to your upcoming one. It’s hard to assume that people would be engaged with visual content rather than written content or vice versa. You don’t want to risk allocating a large amount of money on production to barely reach your prospects.
Access to raw online historical data (the user’s original content) makes this an easy task. Analyzing how other companies and brands handled their similar previous campaigns gives you insights about interactions with different types of content.
Back-checking a keyword or a topic
If you go to Twitter frequently to check trending hashtags, you will be astonished by a number of changeable topics and keywords people are using. Thanks to citizen journalism and other factors, many keywords and topics have had their share of online buzz in the last couple of years.
The feature is necessary to check if the keyword you’re optimizing your campaign to has been exhausted by a previous online buzz. Let’s say you’re looking for a hashtag for the seasonal campaign. Of course, you wouldn't want your whole campaign to adopt a hashtag or a keyword that was used by another company from the same industry. Sometimes it is very hard to come up with a catchy hashtag that is related to the season and suits your brand identity.
Online historical data will take you years back to make sure you're optimizing your campaign to a unique hashtag and keyword. Your team can create a query with the season's name and track it years back to get a complete report on interactions, timings, sentiments, used hashtags, and much more.
Crowd Analyzer's tool gives you access to raw data as well as a report with all the insights and data. It's very important to get access to raw data in order to further know the content people interacted most with.
If you are interested in knowing more about our historical data feature, request a demo here.