[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-187766-en":3,"doc-seo-187766-105":29,"detail-sidebar-cat-1-en-105":90},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":11,"category_id":12,"category_name":13,"doc_title":14,"doc_description":15,"doc_content":16,"file_id":17,"file_url":18,"file_type":19,"file_size":20,"view_count":4,"is_deleted":4,"is_public":11,"is_downloadable":11,"audit_status":11,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":15,"update_tm":28,"read_time":11},187766,962085662650,"Dozel","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",1,17,"Forms","KPI Hypothesis Template - Midweek Promotion Plan","This template structures a midweek attendance growth experiment to recover revenue lost on Tuesdays and Wednesdays. It defines the target audience, a promotion hypothesis, and the expected impact: midweek capacity rising from 58% to 72% and revenue increasing from £2,100 to £2,400 per performance after discounting. The action relies on a segmented email campaign across four October midweek shows. It specifies supporting metrics (opens, clicks, redemption, new-to-midweek share), guardrails (weekend cannibalisation, overall weekly revenue per performance, satisfaction), a 4-week review cycle, and decision branches for positive, neutral, or negative outcomes.","| Problem / observation | Midweek performances consistently sell below 60% capacity while weekend shows sellout. We’re losing revenue on Tuesdays and Wednesdays. |\n| --- | --- |\n| Audience / segment | Existing bookers aged 25–40 who have attended at least once in the past 12 months but only on weekends. |\n| Hypothesis | If we offer a ‘bring a friend for half price’ promotion on midweek performances, then midweek attendance will increase by 25% among this segment. |\n| Proposed action | Email campaign to qualifying segment (1,200 contacts) offering the promotion for 4 midweek performances across October. |\n| Assumption behind the action | This audience would attend midweek if given a social incentive and price nudge. The barrier is habit, not availability. |\n| Primary KPI | Midweek ticket sales (volume and revenue) for the 4 promoted performances. |\n| Baseline | Average midweek attendance: 58% capacity. Average midweek revenue: £2,100 per performance. |\n| Target / expected change | 72% capacity (+25%). Revenue target: £2,400 per performance (accounting for the discounted tickets). |\n| Supporting metrics | Email open rate and click-through rate for the campaign. Redemption rate of the offer. New-to-midweek booker proportion. |\n| Guardrail metrics | Weekend ticket sales for the same period (checking for cannibalisation). Overall revenue per performance across the week. Audience satisfaction (no decline). |\n| Timeframe | 4 weeks (October). Review at end of month. |\n| Owner | Marketing Manager (campaign); Box Office Manager (tracking redemptions). |\n| If results are positive, we will: | Extend the promotion to November/December. Test whether a smaller discount (25% off rather than 50%) achieves a similar result. |\n| If results are neutral, we will: | Survey the segment to understand why the offer didn’t shift behaviour. Test a different incentive (e.g. pre-show drink included) for the next month. |\n| If results are negative, we will: | Stop the promotion. Investigate whether the midweek audience barrier is price/social or something else entirely (timing, transport, programming). Consider qualitative research. |\n| Key learning captured | That this segment’s midweek absence is driven by habit and social motivation rather than programming or price sensitivity, meaning we can address it through marketing rather than programming changes. |\n| What would success teach us? | Midweek performances consistently sell below 60% capacity while weekend shows sellout. We’re losing revenue on Tuesdays and Wednesdays. |\n\n| Problem / observation |  |\n| --- | --- |\n| Audience / segment |  |\n| Hypothesis |  |\n| Proposed action |  |\n| Assumption behind the action |  |\n| Primary KPI |  |\n| Baseline |  |\n| Target / expected change |  |\n| Supporting metrics |  |\n| Guardrail metrics |  |\n| Timeframe |  |\n| Owner |  |\n| If results are positive, we will: |  |\n| If results are neutral, we will: |  |\n| If results are negative, we will: |  |\n| Key learning captured |  |\n| What would success teach us? |  |","cbCaiexvZBgWUCUJ","https://ap.wps.com/l/cbCaiexvZBgWUCUJ","pdf",65613,2,"English","en",105,"# Problem / observation\n## Audience / segment\n## Hypothesis\n## Proposed action\n## Assumption behind the action\n## Primary KPI\n## Baseline\n## Target / expected change\n## Supporting metrics\n## Guardrail metrics\n## Timeframe\n## Owner\n## If results are positive, we will:\n## If results are neutral, we will:\n## If results are negative, we will:\n## Key learning captured\n## What would success teach us?","[{\"question\":\"What is the core hypothesis behind the promotion?\",\"answer\":\"Offering a “bring a friend for half price” promotion on midweek performances will increase midweek attendance by 25% among the targeted 25–40 weekend-only segment.\"},{\"question\":\"Which KPI is used to measure success?\",\"answer\":\"The primary KPI is midweek ticket sales, measured in both volume and revenue, for the four promoted performances.\"},{\"question\":\"What guardrail metrics help prevent unintended impacts?\",\"answer\":\"Weekend ticket sales for the same period are tracked to check cannibalisation, along with overall revenue per performance across the week and audience satisfaction to ensure no negative experience.\"}]","KPI Hypothesis Template - 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