Prompting with Adscorn
List of prompting strategies and approaches
To help you make the most out of Adscron, we compiled a list of prompting strategies and approaches. Some of these were collected from our team’s experience, and others were shared with us by our community members.
What is prompting? Prompting is the term for textual, natural language inputs used to interact with Adscorn Playground.
Since Adscorn relies on LLM and RNN models, effective prompting strategies can significantly improve its efficiency and accuracy.
Basics: Modes of Operation
The Playground operates in 3 primary modes, each designed to assist with specific types of queries:
Charts: Generate Historical Line or Bar Charts to visualize performance data over time.
Logical Computing: Analyze insights, identify trends, and determine top-performing elements.
Text: Generate creative copy suggestions, explore strategic approaches, or ask any question.
Dataset Levels
The Playground processes data across 5 hierarchical dataset levels:
Creatives: Includes assets such as images, videos, or copies.
Account: Data aggregated at the account level.
Campaign: Focuses on overarching promotions or outreach efforts.
Ad Set: Targets specific bundles or audience groupings within campaigns.
Ad: Analyzes individual advertisements.
Dataset Auto-Detection
By default, the system automatically detects the dataset level based on your prompt. However, you can force a specific dataset by including relevant keywords in your query:
Creatives: Use terms like creative, asset, media, image, video.
Campaigns: Use terms like campaign, outreach, promotion.
Ad Sets: Use terms like adgroup, adset, bundle, target group.
Ads: Use terms like ad, advertisement.
Working with Date Ranges
The Playground operates within the context of the Selected Date Range. Ensure that your selected range aligns with the timeframe relevant to your query to generate accurate results.
Text Prompting
Leverage the playground to craft compelling ad copy, generate creative ideas, and address common queries with ease.
Simple prompting example
Logical Prompting
Use logical queries to calculate metrics, identify the best or worst campaigns, creatives, and channels, and gain actionable insights.
Metric computing examples
Use action-oriented words like compute
, calculate
, average
, total
Compute Total Revenue
Compute total AOV, CR in % and CTR in %
Calculate conversions value of the best 3 creatives, round 2
Search prompting examples
Use action-oriented words like list
, set
, find
, sort
, return
Sort campaigns by ROAS and return the best 3
List of the top 3 creatives with the highest impressions
List of Useful Metrics
Chart Prompting
Use queries to create historical time-series and bar charts
Chart prompting examples
Creatives AOV chart (top 5)
Revenue chart
A chart of 3 campaigns with the highest conversion rate
Fine-Tuning and Data Transformers
Use Additional Keywords for Data Formats
Add
%
: Retrieve results as percentages (e.g., "CTR in %").Round 2: Round values to 2 decimal places (e.g., "Conversion value, round 2").
Sort asc/desc: Arrange data by value (e.g., "Top campaigns sorted descending").
Show top/bottom N: Display specific ranges (e.g., "Show top 5 channels").
Filter by: Narrow results based on criteria (e.g., "Filter by ROAS > 3")
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