I was lent Margarita Morris’s Goodbye to Budapest by Hungarian friends here in Sydney, which seemed a convincing recommendation; I’d heard some of the stories about how they’d escaped Hungary during the communist era, and the paperback copy they lent me was inscribed with enthusiastic remarks. I’d also visited Budapest a year or two before, visiting 60 Andràssy Avenue, now the site of the House of Terror.
The secret police headquarters at 60 Andràssy Avenue is a central theme in Goodbye to Budapest. It’s where university don Màrton Bakos is imprisoned and tortured by the dreaded AVO secret police. The book is built around the fate of the Bakos family, with daughter Katalin pushing the narrative forward.
Goodbye to Budapest spans the period from October 1952 until November 1956, covering the uprising and its crushing by Soviet tanks. It’s fast-paced, and focuses on the fate of a handful of authentic characters struggling to survive awful oppression and betrayal.
I had a peep at Morris’s website, wondering whether she has Hungarian family connections. Apparently she hasn’t, which is a great credit to the research and empathy behind this book.
I should mention that the paperback is independently produced (I have form in this area), and is professionally put together with a clean design and attractive cover.
When same-sex marriage became legal in Australia in December 2017, I was elated that the battle was won, and that Australia had – on this count at least – grown up. As a happily married straight male, my take on the matter was that this was a victory for human rights. That’s pretty much how I’ve thought about SSM for the last two years.
Last night, I attended my first same-sex wedding. Two dear friends tied the knot in front of friends and family in a moving ceremony at an elegant Sydney venue. And as the celebrant said the words, “Marriage, according to the law in Australia, is the union of two people to the exclusion of all others …”, I properly understood what happened in December 2017: That our lawmakers voted for love.
That doesn’t happen very often in the Australian Parliament!
I’ve been experimenting with Bookbub ads over the last few weeks, basically gambling small sums to advertise my novels on this huge email-based book marketing platform.
Like many online ad platforms, Bookbub is based on an auction system: Bookbub puts your ad in front of eyeballs, you make a bid for the owners of the eyeballs to click on your ad, and you hope that the clicks turn into purchases.
Your success depends on a lot of variables interacting to hook the right readers. For example, you can target readers who like particular authors, who live in different countries, and buy from different vendors (e.g. Apple, Amazon, Kobo). You can vary your price-per-click bid rate, and the price of your book. You can advertise on different days of the week, and you can choose to release to spend your money quickly or slowly. And of course, you have to design an ad that will seduce those eyeballs. The ad on the left has been one of my most successful.
There are lots of whizz-bang guides on how to get the most out of online ads (even entire courses!), but the take-away message is that you must test multiple versions of ads to find the optimum combination of variables.
As a former academic who has crunched a lot of slippery data (my field is linguistics), this kind of testing looks very complicated; there are so many variables. It is made more difficult for a small player like me investing an average $10 a test because the scale of results is too small to be statistically reliable. For example, why was the clickthrough rate for Apple and Kobo higher this Friday than Thursday, but lower for Amazon? (See the graph at the top of this post.) If I invested $10,000 rather than $10, I’d be much more confident in the results.
So where to? Short of running hundreds of small A/B tests or performing a factor analysis on a $10,000 test, I’m falling back on the approach I used as a linguistics academic when I operated in the grey zone between qualitative and quantitative data: (a) Start with a rough working hypothesis (b) gradually modify the hypothesis as new data comes in, (c) test the modified hypothesis. In practice this has entailed about ten tests so far.
And what have I Iearned? Well, here are some trends, but bear in mind that context is everything: I’m a ‘mature’ male Australian hybrid author writing quirky espionage fiction, and psychological and satirical thrillers, not a young female American author of time travel shape-shifter romance.
AD DESIGN: A quote from a review works better than a summary of the plot.
REGION: Australia (and to an extent Canada) are less competitive than the US and UK.
VENDOR: Apple and Kobo sell as well as Amazon in Australia.
WEEKDAY: Weekend ads may do less well than weekday ads.
AUTHOR: Readers of Daniel Silva like my books.
Remember these are trends based on small stats, not firm conclusions.
The outlook? I’m getting close to a return on my investment on my ads. I’m planning to run my best ad with a bigger investment, but to test some variations with a simultaneous low-cost ad.
I’d be fascinated to hear from other authors who are treading the same path.