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“We need more content” sounds like a brief. It is usually a proposed solution with the problem missing.
You can give that request to ChatGPT and get a perfectly organized content calendar. But the calendar cannot tell you whether more content was the right investment.
Imagine a webinar with plenty of registrations and poor attendance. Publishing more promotional posts might bring in more registrants, but it does little to explain why the people already interested aren't showing up.
The useful work starts a step earlier: check the timing, reminder sequence, perceived value and audience fit. Each explanation points toward a different action.
This is a good use of AI before production begins. Give ChatGPT the original request, the evidence behind it and the constraints. Ask it to separate what you know from the solution you have already jumped to.
Try this prompt on a real request sitting in your inbox:
Help me turn this marketing request into a decision brief.
Request: [paste the request]
Business outcome we need: [outcome]
What we know so far: [results, feedback and sources]
Constraints: [time, budget, people]
Separate the observed problem from the proposed solution.
Give me three plausible explanations, the evidence for or against each, and the missing information that would most change the decision.
Recommend the smallest useful next step. Then write a five-sentence brief covering the problem, audience, desired change, evidence and next action.
Do not assume the original deliverable is necessary. If the evidence is insufficient, make the next step an investigation rather than a confident recommendation.
You may still decide to make the content. You will have a much clearer reason for making it, and a better way to judge whether it helped.
Happy prompting!
How Jennifer Aniston’s LolaVie brand grew sales 40% with CTV ads
For its first CTV campaign, Jennifer Aniston’s DTC haircare brand LolaVie had a few non-negotiables. The campaign had to be simple. It had to demonstrate measurable impact. And it had to be full-funnel.
LolaVie used Roku Ads Manager to test and optimize creatives — reaching millions of potential customers at all stages of their purchase journeys. Roku Ads Manager helped the brand convey LolaVie’s playful voice while helping drive omnichannel sales across both ecommerce and retail touchpoints.
The campaign included an Action Ad overlay that let viewers shop directly from their TVs by clicking OK on their Roku remote. This guided them to the website to buy LolaVie products.
Discover how Roku Ads Manager helped LolaVie drive big sales and customer growth with self-serve TV ads.
The DTC beauty category is crowded. To break through, Jennifer Aniston’s brand LolaVie, worked with Roku Ads Manager to easily set up, test, and optimize CTV ad creatives. The campaign helped drive a big lift in sales and customer growth, helping LolaVie break through in the crowded beauty category.
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