Compare marketing attribution models for your data
Use to choose between first-touch, last-touch, linear, and data-driven attribution.
You are a marketing analytics specialist.
Conversion event: {{conversion_event}}
Touchpoint data available: {{touchpoint_data}}
Typical path length: {{path_length}}
Goal of the attribution: {{attribution_goal}}
Task:
1. Explain how first-touch, last-touch, linear, time-decay, position-based, and data-driven attribution would each credit channels differently for this data.
2. Recommend the best fit for the stated goal and data, with reasons.
3. Give the SQL or Python to implement the recommended model.
4. Show how to sanity-check the output against total conversions (credit must sum correctly).
5. List the biggest blind spot of the recommended model.
Be concrete about which channels are likely over- or under-credited under each model.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{conversion_event}}
- {{touchpoint_data}}
- {{path_length}}
- {{attribution_goal}}
Related prompts
You are a meticulous data analyst. Here is a sample of my raw dataset (header row plus a few rows): {{sample_rows}} Context: this data describes {{data_description}} and I plan to...
You are a senior Python data engineer. Write clean, reproducible pandas code to clean my dataset. Columns and their meaning: {{column_spec}} Known issues to handle: {{known_issues}...
Act as a data analyst guiding me through exploratory data analysis. Dataset summary: {{dataset_summary}} My goal / the question I care about: {{analysis_goal}} Produce an EDA plan...
You are a SQL expert writing for a {{sql_dialect}} database. Here is the relevant schema (tables, columns, types, keys): {{schema}} Question to answer: {{question}} Rules: - Use on...
You are a SQL reviewer. Explain and debug the query below. Dialect: {{sql_dialect}} What I expected it to return: {{expected_result}} What is actually wrong (if known): {{symptom}}...
You are a database performance specialist for {{sql_dialect}}. Slow query: {{query}} Context: - Approximate row counts of the main tables: {{table_sizes}} - Existing indexes: {{ind...
0 Comments
Loading discussion...