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Think Lifelong To Kick Start Your Career In Music

Frank Turner & Fans LiveI’d always been a fan of Frank Turner, but it was a series of social media-centric events in 2009 that turned me into a fan for life.

The English singer-songwriter (“skinny, half-arsed English country singer”, by his own admission) tweeted some enigmatic request for Brooklyn-area followers to get in touch with him, as plans were afoot. Naturally I complied, feeling the urge to hear a familiar song sung  in a familiar accent, after several months away from the Motherland.

It turned out to be a show on a date that I would be out of town, yet the simple one-on-one connection with a musician whom I admired drew me into Frank’s blog and Twitter feed still further. This, in turn, resulted in another e-mail exchange on his way back through the tri-state area, through which I learned of a secret show in a tiny Hoboken pub (think pool table in the middle of the “dance floor”) and was able to attend an intimate gig that lingers long in my memory.

Through just a few personal touches, Frank had gained a life long fan.

A Lifetime Customer.

 

The Value of a Lifetime Customer

Lifetime Customer Value (LCV) is a somewhat inelegant marketing measurement that is, nonetheless, a huge boon to any artist serious about pursuing a long lasting career in music. If you’re in it for the long haul, you’re going to need a dedicated core of fans in it with you, no?

LCV is calculated based on the average spend over a set period of time, multiplied by the expected duration of the relationship. We can work in factors such as losing fans and the cost of keeping them around, but for simplicity the main areas to focus on here are these:

  1. What your average fan spends in a year, and
  2. How long you expect a given project to last.

The concepts are more important than the actual measurement, for the moment, as they get you thinking about where you make money on your music (and, more importantly, how you may be able to increase that average spend).

You also gain perspective on the differing contributions that your various musical projects are making to your income…

Which of your projects  have potential to expand into crucial income streams?

Which are more ‘for fun’ and should be prioritized accordingly, at least in terms of marketing time?

Understanding where your effort and time is best spent, along with seeing what the spend will be in return, allows you to contrast the value of a simple album sale or song download with the broader context of a fan that knows you, loves your music, and wants to support you for the long haul.

Turning Listeners Into Lifelong Fans

What success looks likeAs there is more and more competition for listener attention, so the distinction between a listener and a fan becomes increasingly important for you and your career in music.

You may begin to attract substantially more listens, be they monetized spins on Spotify or  indicative ‘views’ on YouTube, but without converting a good proportion of these folks to fans, then lifelong fans, making a living from your music will be all the more difficult.

I have a full series of articles planned for February and March that will dissect every inch of moving your listeners along this spectrum, from passive listener to passionate fan for life.

The truth is that it’s a slow burn for 99.9% of musicians.

Very few of you will soar from a tightly knit group of fans to superstar status on the basis of one amusing YouTube video or turning your cat into the next big internet meme (this is a valid strategy, should you wish to explore it… but, please remember, that a cat is for life, not just viral marketing). Relationship building, boosted by new media connections, and incremental nudges are at the core of what I believe is the key to succeeding as an independent in the music industry, now that the old models are falling away.

Starting next Monday, we’ll be looking in more depth at the concepts that relate to building a long term fan base and calculating LCV to understand your income from music. To avoid missing this journey, sign up for the e-mail updates over there in the top right hand corner.

I’m excited to start a discussion around these ideas and eager to hear what you want to read about in more depth. So come on, overload me with posts to write by telling me what you need here in the comments!

Life is too short to just sing the one song,

So we’ll burn like a beacon, and then we’ll be gone.

~Frank Turner – ‘Poetry of the Deed’

Music Marketing Matters: How to Win Data & Influence People

In broaching the subject of data gathering and marketing for musicians last week, I quickly realized that this was going to be bigger than one post would allow. Unless one is talented enough to compose enormous articles that remain fresh and coherent throughout – as can Judy Gombita, for example – one should make like a dubstepper and Break. It. Down.
 

As luck would have it, this is also the approach that you should take with your data gathering.

Break down the walls of your fan data

Image Credit: Ross

Bite Size Data

Unless you’ve been diligently collecting and organizing your fan data for years, which I imagine is akin to the 1%, it’s likely you have one large block of unsorted data, knocking around with several other scraps. Taken as a whole, these form your overall audience database.

And take them as a whole is exactly what we’ll do first, before going on to break it all down again. This time, however, we’ll be doing so in a more productive manner.

 

Building Your Audience Database

Follow these steps to build your initial database. If you already have this in good order, please move on to the next section, ‘Music Marketing Segmentation’.

 
1. Gather every piece of fan data that you’ve collected on one place, in an easy to read format.

 

2. Start a spreadsheet in Excel (or a free equivalent, like Open Office‘s Calc or Google Docs) and type out each relevant category across the top row of this sheet. For every recurring piece of data you have, e.g. First name, last name, E-mail, location etc, you should have a category for it on your sheet. Discard any infrequently occurring data like nicknames or feedback. If it’s pertinent, we can record it later in a general ‘Notes’ column.

 

3. Transfer all the data, once you have all the column headings you need, over to your new spreadsheet. Yes, this is the particularly tedious part… don’t worry, I can wait….

 

4. Done? Congratulations! Have a cup of tea to celebrate and come back in half an hour.

 

5. Now begins the fun… data gathering and filling in the blanks. Add any ‘would like to have’ pieces of information to your column headings. Examples might be income, job title or industry, type of relationship (friend, family, or some more complex measure of acquaintance that we can work on). Don’t stress too much on these, as we can add more later, but DO think about the type of information that you’d like to know about your fans. What would help you connect to them more effectively?

 

6. Once you’re happy with the skeleton of your database, it’s time to add as much flesh to the bones as possible. Thankfully we live in an age of seemingly constant sharing, so stalking… researching your fans to fill in any data blanks is more viable than ever before. Start with a basic Google search of names, focusing on social networks to begin with as they have more standardized information layouts. If you’re still drawing some blanks, delve into blogs they frequent, pseudonyms that they use for online handles, or combination searches involving other data that you already have.
 

Once you’ve exhausted as many avenues as you can think of to complete your data set, accept any omissions and save the sheet in a couple of safe places, one hard drive and one accessible remotely, if possible.

Et voila, your information foundation is set! 

Remember to use the header categories that you’ve laid out here for all future data that you collect from people. This keeps everything complete and aligned with what you have identified as important things to learn about your fan base.

 

Music Marketing Segmentation

 

Types of segmentation

A preferable form of segmentation

As I mentioned earlier, we only built this up so that you can break it back down again. This time we’ll do it in an orderly fashion, however, by segmenting the market for your music.

Having gathered all this data about your existing fans, you can use it to make your communications to each of them more targeted. This benefits you because you can offer more clear and relevant news and offers to each segment of fans. It benefits the fans as well, as you aren’t just blasting out general announcements to your entire list, hoping that some of of will stick.

 

Segment Suggestions

You can slice and dice your database into segments in many ways, subject to your targets and the data that you managed to gather.

Here I’ll offer up five segmentation suggestions to get you started. If you start to play around with these, you should find that you begin to understand your data set and develop your own segments.

 

1. LOCATION: Where people live is one of the easiest and readily available pieces of data that you’ll have to hand. It is also one of the most potentially valuable, allowing you to identify clusters of fans for tour plans, geographical trends, and areas for potential street teams or fan meet ups (if coupled with number three on this list). Location is a solid place to start to feel out your data and get comfortable manipulating it into groups. If you need to add broader categories such as East coast, Midwest etc, feel free to create another column and segment in this way as well. 

 

2. AGE: How old your audience is can help you to infer many follow on points, such as their spending power, media preference, musical tastes, and much more. Although some of this will be an educated guess, it also gives you a platform from which to ask these questions the next time you engage them. You can also combine with other data, such as location, to identify audience diversity in various regions. This can help with anything from merchandise choices to venue decisions e.g. if much of your audience in Detroit is under 18, you’ll know you need to find a venue without drinking age restrictions. 

 

3. FAN STATUS: You can add an extra nuance to your data by assigning your own ranking of fan level. This can be based on any number of factors, including number of gigs attended, purchases made, length of relationship, feedback received, or some combination thereof. Digging this deep will allow you to tailor communications to the appropriate sections of your fan base. For example, to crowd fund a limited edition vinyl release you will probably only approach ‘super-fans’, where as sending brand new fans only a special offer for your older material will avoid a pointless communication to long term fans who already have those releases. 

4. PREFERRED GENRE: Understanding the types of music that individual fans enjoy gives you the chance to hyper-target new material, right down to releasing an individual song especially for that group. It can also help to refine set lists when combined with location and age related data, target recommendations of similar artists when you try to help out other artists, and perhaps even influence the way you write your next material. I know, I know, you write what’s in your heart. But it can’t hurt to have an insight into what your fans like as well, can it?

 

5. INFLUENCE LEVEL: This may require further research, or you may simply have a good feel for those of your fans who are influential over the tastes of others, but either way, knowing who to approach to spread your music is a valuable piece of data to have available. Though there are sites like Kred that can help you to ferret out influencers in a certain field online, your most likely route to segmenting in this way is to assign a simple rank for each person, based on recommendation behavior you see online (or lack thereof… perhaps you use a null value, in cases where you simply cannot tell). Does the person regularly share music, post YouTube videos that get likes on Facebook, or write about their tastes online? All are indicators that they should be added to a segmented group that you can go to when your hot new tune needs that extra push.

Over To You!

Have you already worked on something similar to this? How did you segment your data and what results did you see?

For those of you just starting out, does this seem like a valuable exercise? What questions are lingering for you?