You’ve been hearing it a lot lately: Print-on-demand is changing publishing. Advances in technologies have brought reduced turnaround times, lower costs, higher quality, and less risk. As a result, businesses focused on print-on-demand are emerging, including independent, on-demand-focused publishers that serve both traditional book models and a changing vanity publishing marketplace. One group that’s often left out of discussions around the changing marketplace: established publishers. However, print-on-demand capabilities are a positive development established publishers. Publishers often have large, slow-moving backlists and many out of print titles that have strong, if small, followings. In the past, this has proven an obstacle to customers buying books they want, except at secondhand shops, whose revenue the publisher never sees. Short-run production of out-of-print and backlist titles for customers adds a revenue stream and can build author and customer good will.
Continuing its comeback, Twitter just reported better-than-expected financial results for the first quarter of the year.
Twitter said quarterly revenues reached $787 million, which represented a nearly 20% gain, year-over-year.
On the not-so-bright side, Twitter reported 330 million monthly active users for the quarter, which represented a decline of about 6 million MAUs, year-over-year.
For the period, average monetizable daily active users reached 134 million — up 11% year-over-year.
Stateside, total revenue reached $432 million, which represented an increase of 25%. Total international revenue reached $355 million, which amounted to an increase of 11%. For the quarter, total revenue reached $679 million, an increase of 18%.
By product, video ad formats continued to show strength, notably from Twitter’s Video Website Card and in-stream pre-roll ads.
During the period, Twitter continued to make much-needed product improvements, including the launch of a public prototype app designed to boost healthy conversations. Those improvements emphasized proactive detection of rule violations and physical (or off-platform) safety, including making it easier to report Tweets that include personal information.
“We are taking an even more proactive approach to reducing abuse on Twitter and its effects,” the company stated.
In addition, Twitter continues to deploy new machine-learning models to detect potential policy violations, while more proactively sending flagged tweets to agents for review.
As a result, Twitter says it has been able to take down more abusive content, much faster than before.