Prompt
We have structured a prompt that collects key inputs such as campaign concept, objectives, target demographic, tone of voice, current channels, and budget. Through a multi-step process — data analysis, target and competitor evaluation, selection of primary and secondary channels, and justification of choices — the model generates a detailed strategy. To ensure clear and automatable implementation, the tool returns a structured output in JSON, allowing quick viewing of the suggested strategy. The output includes the primary and secondary channels with associated formats and budgets, a rationale based on data and insights, and final recommendations for optimising the campaign.
Context table
MatchADV is based on a context table that collects key data from major advertising platforms: supported content types, audience segmentation, performance metrics, ideal tone of voice, and format rules. This structure enables the tool to quickly assess the compatibility of advertising ideas with various channels and provide personalised suggestions, optimising the ADV strategy.
