Applications Open For Round Two Of Transform Foundation’s Charity Website Grant Programme
The ‘Q2’ round of the Transform Foundation’s 2017 Charity Website Grant Programme is officially open. Once again, this unique programme will be providing £18,000 grants to charities to fund the redevelopment of their websites in order to:
- increase their ability to raise funds
- more effectively serve their beneficiaries
- raise broader awareness of their cause
The 2017 Website Grant Programme funding round follows a highly successful pilot in 2016, which resulted in websites that collectively went on to raise over £1.3m online for the successful applicants.
The grant is principally aimed at charities with annual incomes between £350k and £30m, although smaller charities with ambitious plans for digital can also apply. Larger charities will also be considered for specific project or fundraising sites.
Any type of non-profit organisation may apply, with successful applicants in the past including causes as diverse as community development, disability, education, theatre, mental health, hospices, national heritage, volunteering, family, children & youth, addiction, homelessness, international aid, and arts.
To apply for the grant or to find out more details, visit the Website Grant Programme section of the Transform Foundation website.
One last thing! The Charity Website Grant Programme is just one of many programmes the Transform Foundation is running this year.
Other projects include the Facebook Advertising Grant, which provides £5k grants to charities to fund Facebook Advertising campaigns, and the Digital Skills Timebank that co-ordinates corporate volunteer time and matches it to digital projects for charities. The Transform Foundation is also running a programme of educational events and white papers to share digital best practice in the charity sector. These programmes form part of its wider efforts to help the charity sector transition from traditional forms of fundraising and service delivery towards more digitally focused models.