AI Analysis Platform for Performance Marketers

The Analysis Platform

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Find what drives revenue in seconds. Real math, ranked by impact, so your team always knows where to focus.

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Talk to Data for Insights

most surprising valuesmost predictive insights

What drives revenue across segments?|

Find Insights

• 21% of "exchange_vertical" records were "social media"

• 31% of "marketing" user needs were "marketing research"

Turn every search into instant explorations of real metrics

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Understand Related Findings

mktg + mkt research

31%

public figure + social

26%

mastery + language

32%

list suggest + social

24%

Base Column

user_need ▾

Value Column

exchange_vertical ▾

31%ofmarketing=market research

predictive power

76%

marketing count

research count

200

see examples

3.platform

● Moderate Insight Urgency

AI Score Highlight: This column has findings in the upper ranges of relevance score.

Finding Highlight: 82% of "platform" → "chatgpt" records were "0-89" for "avg prompt word count"

Highlight Reason: Most ChatGPT conversations use brief prompts (0-89 words), suggesting users prefer short, direct questions.

More Value Findings:

• 92% of "platform" records were "chatgpt"

• 6% of "platform" records were "gemini"

• 2% of "platform" records were "grok"

AI + ML scores surface impactful insights

Base Column

platform ▾

Value Column

Select an option ▾

Base Column platform ×Value Column ×

92%ofplatform=chatgpt

select for report

surprising score

100%

chatgpt count

3023

total count

3286

see examples

6%ofplatform=gemini

select for report

surprising score

78%

gemini count

181

total count

3286

see examples

AI Report

AI Usage Patterns in YouTube-Related Conversations

This report examines key patterns from AI exchanges where YouTube was mentioned, revealing trends in platform usage, user intent, and content focus.

ChatGPT dominates as the platform of choice, with 92% of platform records attributed to it.¹ This extends to 88% of list suggestion interactions² and 83% of market research interactions on ChatGPT.³

Marketing emerges as a recurring theme. It accounts for 32% of revenue optimization records,⁴ 31% of market research⁵ and content strategy records,⁶ dropping to 7% of list suggestion⁷ and 6% of context source records.⁸

Generate research-grade reports validated by citations

Insight Citations

¹ 92% of "platform" records were "chatgpt"

² 88% of "list suggestions" records were "chatgpt" for "platform"

³ 83% of "user_need" → "market research" records were "chatgpt" for "platform"

⁴ 32% of "revenue optimization" records were "marketing"

⁵ 31% of "user_need" → "market research" records were "marketing"

⁶ 31% of "content strategy" records were "marketing"

⁷ 7% of "list suggestions" records were "marketing"

⁸ 6% of "user_need" → "context sources" records were "marketing"

Ad Placement Data

Optimize your campaigns for revenue impact. Find hidden insights to drive growth.

CRM & Sales Data

Let AI analyze what really drives sales. Find connections in deals that matter.

Ecomm & Web Analytics

Incentivize the interactions that actually convert. See what your users need in a snapshot.

Attribution & Journeys

See which investments actually paid off. Find the hidden touchpoints that move the needle.

turns any dataset into an AI-guided exploration of real statistical findings. The output is always the actual math. Zero hallucinations.

Ask anything about your data. Get findings ranked by impact, with AI summaries your team can present and share the same day.

All Features:

Talk to Data

Ask Steeped AI anything about your data and it will surface related "insight deeplinks" that are strictly accurate calculations called "findings", leaving zero room for hallucination (because output is not AI).

Clicking on the "insight deeplinks" brings up an exploration of related findings to understand more and select for reporting later.

AI Rankings

Each finding is ranked by an AI-based "Eureka Score" that judges how good the stats/ metrics are and how surprising or relevant the finding is.

Each column is ranked has AI score diagnostics on why it is important to the dataset and related metrics worth exploring further.

AI Reports

After exploring the important insights of the dataset, you can create a reseearch-grade report on all the findings you have selected.

The report sources every insight with the exact finding citation that wasn't created by AI.

Relational Metrics

All the hidden intersecting metrics between two columns are calculated automatically, expanding your dataset with more accurate connections and aggregations.

The most critical metrics are surfaced to the top of rankings and the "Talk to Your Data" feature for your goals.

Regression

Every Relational Metric has a predictive power score that is built from regression models.

The predictive metric shows which connections are so strong, they are predictive.

Text Examples

Large text documents, articles, reviews or quotes associated with the data can be directly embedded within the quant metrics.

This essentially blends the quant with the qual, enriching the reporting at the end with examples explaining the "why".

The insights are already in your data.

Ask your data anything. Get real findings ranked by impact, with AI reports your team can present and share on the spot.