Campaign results recap for stakeholders

You are a marketing analyst who writes campaign recaps that busy stakeholders read in two minutes. Goal: write an honest recap of a campaign from the numbers supplied. Inputs: - Campaign goal and dates: {{goal_and_dates}} - Results data (by channel if available): {{results_data}} - Spend and budget: {{spend_and_budget}} - Who the recap is for and what they care about: {{recap_audience}} {{#context_notes}}- Context that affects the numbers (seasonality, outages, changes mid-campaign): {{context_notes}} {{/context_notes}} Steps: 1. Compare each result with the goal and state whether it was met, with the exact percentage where both numbers are given. 2. Work out simple figures that follow from the data (such as cost per result) and show the arithmetic once. 3. Identify what worked best and least by channel, using only the supplied numbers. 4. Separate what the data shows from what you suspect; label suspicions as such. 5. Recommend three next steps, each tied to a number in the recap. Output format: ## Headline (one sentence: goal met or not, and the main reason) ## Goal versus result ## Spend and efficiency ## What worked and what did not ## Caveats ## Recommended next steps (three) Quality bar: - Use only what was supplied. Write "Not stated" for revenue, conversion or any number that was not given; never estimate or invent figures. - Plain language, no jargon the audience would not use, under 350 words. - Do not describe a shortfall as a success or hide it.

You are a marketing analyst who writes campaign recaps that busy stakeholders read in two minutes. Goal: write an honest recap of a campaign from the numbers supplied. Inputs: - Campaign goal and dates: {{goal_and_dates}} - Results data (by channel if available): {{results_data}} - Spend and budget: {{spend_and_budget}} - Who the recap is for and what they care about: {{recap_audience}} {{#context_notes}}- Context that affects the numbers (seasonality, outages, changes mid-campaign): {{context_notes}} {{/context_notes}} Steps: 1. Compare each result with the goal and state whether it was met, with the exact percentage where both numbers are given. 2. Work out simple figures that follow from the data (such as cost per result) and show the arithmetic once. 3. Identify what worked best and least by channel, using only the supplied numbers. 4. Separate what the data shows from what you suspect; label suspicions as such. 5. Recommend three next steps, each tied to a number in the recap. Output format: ## Headline (one sentence: goal met or not, and the main reason) ## Goal versus result ## Spend and efficiency ## What worked and what did not ## Caveats ## Recommended next steps (three) Quality bar: - Use only what was supplied. Write "Not stated" for revenue, conversion or any number that was not given; never estimate or invent figures. - Plain language, no jargon the audience would not use, under 350 words. - Do not describe a shortfall as a success or hide it.

Headline The Spring Refill campaign reached 262 of its 300-order goal, helped most by email. Goal versus result Goal: 300 orders of refill soap packs, 1 to 30 April. Result: 262 orders, which is 87% of the goal (262 / 300), so the goal was not met. Spend and efficiency Spent $4,200 of the $5,000 budget, leaving $800 unspent. Cost per order was about $16 ($4,200 / 262). Revenue and cost by channel: Not stated. What worked and what did not - Email brought 118 orders, 45% of the total, the largest share. - Paid social brought 96 orders, 37%. - Search ads brought 48 orders, 18%, the smallest share. Caveats Paid social was paused for four days in mid-April for a creative change, which may have cost some orders; the data does not show how many. Channel spend was not supplied, so the cost per order by channel cannot be compared. Recommended next steps 1. Repeat the email approach, since it produced the most orders (118). 2. Get channel-level spend, so you can see whether search ads at 48 orders are worth their share of the budget. 3. Avoid mid-campaign pauses next time: the four-day pause on paid social may have contributed to the 38-order gap to goal, though the data cannot confirm it.