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Working together to monitor and measureSarah Boiling Audiences LondonSangeeta Sathe South London Gallery Museums and Heritage Show 2011 © Audiences London 2011
Visual Arts audience benchmarking Background What it is What we’ve learnt How it is being used Future plans © Audiences London 2011
Background Consultation with galleries and data analysis Lots of existing audience research but not comparable Appetite to improve and share Standardised core and optional questions and answers Support programme for primary research On-line Data hub ACE funded 23 galleries (c) Audiences London 2011
Why benchmark?  (c) Audiences London 2011 Understanding and insight ,[object Object]
 What is the visitor crossover
 What is the opportunity to work together
 What is the impact /reach of our investment
 What are the audience trends
 What is the reach/opportunity of our sector
 Who am I reaching/not reaching
 What do they think
 How effective is my marketing,[object Object]
 Information sources
 Motivations
 Rating of experience
 Knowledge of art
 Crossover
 Group composition
 Open questionCore: demographics Age Gender Disability Postcode Ethnic origin (c) Audiences London 2011
Support programme Results only as good as the data that goes in Primary research – assisted self completion questionnaires Galleries own staff  Fieldworker training Project space Handbook (c) Audiences London 2011
Data hub Each gallery own Snap online account  based on core plus their optional questions Gallery staff undertake fieldwork Assisted self completion questionnaires Input data Individual analysis and tables Compare to benchmarks (c) Audiences London 2011

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Working Together to Monitor and Measure

  • 1. Working together to monitor and measureSarah Boiling Audiences LondonSangeeta Sathe South London Gallery Museums and Heritage Show 2011 © Audiences London 2011
  • 2. Visual Arts audience benchmarking Background What it is What we’ve learnt How it is being used Future plans © Audiences London 2011
  • 3. Background Consultation with galleries and data analysis Lots of existing audience research but not comparable Appetite to improve and share Standardised core and optional questions and answers Support programme for primary research On-line Data hub ACE funded 23 galleries (c) Audiences London 2011
  • 4.
  • 5.
  • 6. What is the visitor crossover
  • 7. What is the opportunity to work together
  • 8. What is the impact /reach of our investment
  • 9. What are the audience trends
  • 10. What is the reach/opportunity of our sector
  • 11. Who am I reaching/not reaching
  • 12. What do they think
  • 13.
  • 16. Rating of experience
  • 20. Open questionCore: demographics Age Gender Disability Postcode Ethnic origin (c) Audiences London 2011
  • 21. Support programme Results only as good as the data that goes in Primary research – assisted self completion questionnaires Galleries own staff Fieldworker training Project space Handbook (c) Audiences London 2011
  • 22. Data hub Each gallery own Snap online account based on core plus their optional questions Gallery staff undertake fieldwork Assisted self completion questionnaires Input data Individual analysis and tables Compare to benchmarks (c) Audiences London 2011
  • 23. (c) Audiences London 2011 Data hub – how it works
  • 24. South London Gallery’s snap account (c) Audiences London 2011
  • 25. South London Gallery’s snap account (c) Audiences London 2011
  • 26. What we’ve learntBorough of residence (c) Audiences London 2011
  • 27. What we’ve learntMosaic Geo demographic profiling Based on postcode Splits UK population into 15 Groups 67 Types Detailed picture of attitudes, income, spending habits, family make up, education, political views, leisure habits etc (c) Audiences London 2011
  • 28.
  • 29. Degree level education
  • 32. New mediaJonan & Freya
  • 33. What we’ve learntMosaic Group profile (c) Audiences London 2011
  • 34. What we’ve learnt – UK/overseas visitors (c) Audiences London 2011
  • 35. South London Gallery - how it works The process Getting internal buy-in The fieldwork/Data inputting Analysis real time reports User friendly personalisation (c) Audiences London 2011
  • 36. South London Gallery - how it works The results Confirmed our expectations – reassuring Eg. Age – slightly younger Overseas visitors - far fewer Ethnic group – fewer ‘white: other’ Mosaic types Fewer Alpha Territories and Professional Rewards Fewer Suburban Mindsets Twice number of Terraced Melting Pots Gives context within which to understand our audience Next step – clustering by size, location and type of work presented (c) Audiences London 2011
  • 37. South London Gallery - how it works How I’m using it Easy reporting for funders Prompted informal digital data sharing Further collaboration / closer working with peers (c) Audiences London 2011
  • 38. What’s next For museums - London Museum Hub pilot For galleries - National pilot roll out to 5 pilot regions via Turning Point plus Wales (c) Audiences London 2011
  • 39. (c) Audiences London 2011 Thank you sarah@audienceslondon.org
  • 40. Any questions? (c) Audiences London 2011

Editor's Notes

  1. ProcessSmall organisation, few resources for research so opportunity to share process and methods with other orgs welcomed - actually seemed to ‘endorse’ our current researchAs research results rarely changed they were only ever really used for funding reports – this was an opportunity to put these results into context and hopefully make them more meaningful.FieldworkAlready using interviewers and had staff time dedicated for data entry - new system radically reduced data entry time compared with excel plus snap is user friendly (some staff find excel a bit offputting/technical) AnalysisSimple percentages on total data is instant and v. User friendly.More detailed analysis or filtering requires statistical language but AL prepared a handbook which provides the most useful ‘codes’. Even so back end is much easier than excel, i only use v. basic level but much easier esp. for cross tabs. Can filter by date eg exhibition.No personalisation but as I’m often asking the same question but in different time periods, I’ve made notes of the codes i need to enter in order to extract the data i need. Eg At least 70% of first time users rate the spaces as good or very good
  2. ResultsDidn’t show anything groundbreaking but confirmed what we thought we knew – reassuringAge - due to nature of programmingOverseas – not so many touristsEthnic group – again due to fewer touristsMosaic types seem to show the most interesting resultsAlpha territories 12% to 3%Professional rewards 8% to 0%Suburban mindsets 7% to 1%Terraced Melting Pot 7% to 16%Intuitively this could be due to the programme being perceived as niche/edgy, due to location on Peckham borders and also organisation has changed quite drastically in the last year previously having no facilities apart from the exhibition space so our audience is likely to be in transition.– worth probing deeper and comparing to organisations we position ourselves againstClusters may start to reveal most meaningful results and allow to galleries to understand their audience in relation to others.
  3. Funding reports and apps – easy to glean dataHas prompted colleagues to think about sharing other data such as on digital audience and offer – not got off the ground yetClustering may lead to collaborations with other organisations such as cross promotions or sharing good practice.