If you're an istock contributor you will already be aware of the new Getty images "ESP" submission platform coming soon and the closure of the existing submission system at istockphoto (aka "xnet"). Somewhat annoyingly the powers that be have decided not to migrate data from the old platform; said platform has been somewhat hobbled for the past couple of months anyway, but now is an excellent time to take a look at the stats over the years before they're gone for good!

I started uploading to iStockphoto in 2003. A lot has changed - I’m not even 100% certain I wasn't still on dial up in the UK, if not I was certainly on my first cable modem with 600Kbits/s symmetric (and wow did I think that was the dogs dangalies back then...)

 

Uploads over the years - growing portfolio

portfolio size

Total is cumulative and the upper line (sorry about the colours here). This graph is mostly for reference and useful when looking at the next graphs. There's not really much to say here, I’ve been adding images at a sporadic but linear-ish rate (I did upload more than average in 2016).

 

 

Downloads (sales)

Downloads at istock

Before 2009 "file downloads" were all there was. Since then we can see individual file sales decreasing, made up for in volume by sales from partner program and subscriptions

 

Revenue (Total Royalties)

istock revenue

Overall, averaged out over the years revenue is on the way up. I'd hope so considering I'm uploading more images! More images in the portfolio means we need to look at RPI...

 

Revenue Per Image

istock photo RPI trend

RPI is going down, but not as much as I was expecting, nonetheless it's approx. half to 1/3 of what it was for 2009 and before.

But, there is a big problem with looking at RPI, especially over long time frames, it's capable of being diluted by old images in my portfolio. I don't curate my portfolio once uploaded (to make the playing field level for all agencies to compare).

I don't have an easy way of calculating RPI for a rolling window of images uploaded in the previous 3 or 5 years, I think that might be a more useful statistic and less prone to error.

Hopefully there is something here to compare your own results with. Certainly not as gloomy as I thought things might have been; especially industry wide considering how much ground istock have lost to shutterstock.

 

Notes:

  1. For clarity ELs not included in the graphs.
  2. If you are playing along at home with your own stats, as of 2011 the stats show deactivations as negative numbers, they were positive numbers before that, I’ve taken absolute values of all years (and yes I would like a vodka please).
  3. 2003 was 5 months of a year and hence is "statistically flawed"
  4. Results for December 2016 are missing and hence values will be approx. 1/12th higher than shown - December in my portfolio is more or less on par with other average months. Sep-Nov are good months for me as is commonly seen in the industry. I think this is actually quite important as it could make the RPI at istock constant over the past 3 years.
     

Anonymous's picture

Great blog post!Would you

Anonymous (not verified) on Wed, 2017-01-25 21:25
Great blog post! Would you have time to explain a bit on "I don't curate my portfolio once uploaded (to make the playing field level for all agencies to compare)." In particular of old images, is there a way to make them come back up in recent searches?
Steve Gibson's picture

Massaging RPI

Steve Gibson on Fri, 2017-01-27 00:24

For example if I uploaded 20 images a month, and at the end of the month deleted all but the two top selling images, after a year I'd have a portfolio of 24 images with a much greater RPI (overall earnings would be down as I would have simply taken the cream of the top sellers and ignored the rest).

I would need to do that at all agencies to ensure that I was not biasing the comparisons on this website (it would be fine to do that if I were not publishing my comparisons here, that's the only reason I need to do the same at all agencies)

Some background: I'm a firm believer in long tail sales (having images that sell perhaps infrequently but cumulatively provide a constant source of revenue) low sellers is not be something to aim for when shooting, but when the work is done and these images are prepared and uploaded, then deleting them is simply throwing that investment away.

Make old images sell, you might look at (I don't)

- rework good content (modern styles like lens flares, warm filters etc.)

- ensure the keywording and descriptions are on message for current searches: e.g. we might have used 'candid' 'from the hip' 15 years ago, now we see 'authentic' 'instagram' (don't use that!) 'selfie' etc.

- the possibiity that an agency uses an overall rank to position your portfolio, hence incentivising you into culling non-sellers from your port, I've not seen strong evidence on this (e.g. "fotolia rank")


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