Three reasons to choose Ticket Tailor to sell your tickets online:
1. Low, fair and simple fees:
Ticket Tailor only charges a small flat fee per ticket and offers charity discounts.
2. Exceptional support:
24/7 customer support with an average response time of less than 2 minutes, means there is always someone on hand to help.
3. Easy-to-use:
No technical or ticketing skills required, the product is designed to be intuitive for first-time users and feature-rich enough for ticketing experts.
Features and benefits
With Ticket Tailor low fees and simplicity does not come at the expense of a ticketing platform packed with advanced and handy features to meet the needs of even the most complex of events.
And more...
With every ticket sold on Ticket Tailor we commit to donate 1p/1.3c to climate charities. We are also a carbon-neutral business.
Have more questions? Contact us at hi@tickettailor.com.
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Based on our record, Madsounds seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
To discover new music (on Spotify) I also use Madsounds.io. Every morning - as with Discoverify - a number of songs are recommended. Fortunately, during (European) summer time (CEST) this playlist is updated at 10 AM and yours around 9 AM. During winter time (CET) the tools would be fully synchronized with each other in which I would not be able to receive recommendations. Now I can enjoy a serving of music... Source: about 1 year ago
This one is pretty good for a discover daily playlist that gets updated every day: https://madsounds.io/. Source: about 1 year ago
I linked my Spotify account with Madsounds.io. This is a free add-on that gets you recommended 20 songs daily in a playlist (called Discover Daily). This is based on your taste. Nevertheless, I can say that I have been able to discover many new artists/songs. Source: over 1 year ago
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