Ad analysis and creation, all through conversation ── Omneky officially releases AI ad assistant feature 'Chat With Data'
Omneky Inc. has officially released "Chat With Data," an AI advertising assistant feature that enables users to complete advertising data analysis and creative generation through natural language conversations. This innovation integrates the entire advertising PDCA cycle into a single conversational interface, significantly enhancing advertising operational efficiency and effectiveness.
📋 Article Processing Timeline
- 📰 Published: May 4, 2026 at 20:18
- 🔍 Collected: May 4, 2026 at 11:32
- 🤖 AI Analyzed: May 4, 2026 at 11:36 (3 min after Collected)
Omneky Inc. (Headquarters: San Francisco, USA, CEO: Hikaru Senju), a company providing an AI-powered advertising creative platform, officially released its AI assistant feature "Chat With Data" on the Omneky platform on Wednesday, April 15, 2026. This feature allows users to complete everything from advertising performance data analysis to image and video creative generation through natural language conversations.
Chat With Data not only analyzes, visualizes, and generates reports from advertising data but also enables the generation of image and video ad creatives directly within the chat. Users can simply instruct the AI, for example, "Create a new banner with these characteristics" or "Develop this into a video creative," based on the analysis results. This allows Omneky to achieve an integrated workflow where the entire advertising PDCA cycle is completed within a single conversational interface.
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Development Background: Three Challenges Faced by Ad Operations
With the expansion of the digital advertising market, companies are increasingly required to manage complex operations across multiple platforms and brands. However, to truly drive the advertising PDCA cycle, "data analysis and insight discovery" as the starting point, and "seamless connection" from analysis results to production, are indispensable. Ad operations teams have persistently faced the following challenges:
1. **Disconnection between Analysis and Creation:** Data analysis was performed using dashboards or spreadsheets, while creative improvements were executed with different tools. Multiple tools and manual processes intervened in reflecting insights obtained from analysis into creative production.
2. **Hassle of Data Aggregation:** It was necessary to individually download data from each platform's dashboard (e.g., Facebook, Google, TikTok, LinkedIn) and manually integrate it.
3. **Time and Effort for Analysis to Reporting:** Manual processes for data formatting, chart creation, and insight description meant that monthly report creation alone could take several hours to half a day.
Chat With Data was developed as a feature to fundamentally resolve these issues and integrate all stages of the advertising PDCA into a single conversational interface.
"Chat With Data" Feature Overview
Chat With Data is an AI assistant that allows ad operations managers and marketers to analyze, visualize, and report on advertising performance data across multiple channels in real-time by simply asking questions in natural language (supports Japanese and English).
| Function | Overview |
| :----------------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Ad Data Analysis by Natural Language | By simply entering queries like "List creatives with CTR above average in the last two weeks," the system cross-analyzes data from Facebook, Google, TikTok, LinkedIn, Reddit, etc., and automatically generates responses including tables, charts, and insights. |
| Automatic Chart/Table Generation | Automatically displays pie charts of ad spend share, line graphs of CTR trends, performance summary tables, etc., inline. Supports rapid visual decision-making. |
| One-Click Report Generation | Automatically generates professional reports including Executive Summary, Key Findings, chart groups, and Strategic Insights & Recommendations from analysis results. Exportable as PDF/Excel. |
| Multi-Brand Support | Allows switching between multiple brands using a brand selector. Also supports cross-brand analysis in Global Analyze mode. |
| Omneky Integrated Workflow | Integrated with automatic ad creative generation, multi-platform delivery, asset management, and brand guidelines. Completes the PDCA cycle of analysis → production → delivery within the platform. |
| Creative Generation | Generates image and video creatives within the chat. Users can simply instruct, for example, "Create a new banner with these characteristics" or "Develop this into a video."
Analysis Report Sample Screen
Ad Generation Sample Screen
How Chat With Data Changes the UX
The fundamental difference brought by Chat With Data is that the data access model changes from "browsing" to "conversation."
**Freedom of Inquiry is Not Restricted:** Users are not bound by UI structure and can ask any questions that come to mind. Complex analyses such as "Compare creatives with the largest CTR change rate between last month and this month, by channel," and creative generation instructions like "Create 3 new banner patterns with those characteristics," can all be completed within the same chat using natural language. Analyses that previously required 3-4 filter operations on a dashboard, and production that involved moving to a separate tool, are now contained within a single conversation.
**Uninterrupted Flow of Thought:** The biggest advantage of a conversational UI is the uninterrupted flow of thought.
Chat With Data not only analyzes, visualizes, and generates reports from advertising data but also enables the generation of image and video ad creatives directly within the chat. Users can simply instruct the AI, for example, "Create a new banner with these characteristics" or "Develop this into a video creative," based on the analysis results. This allows Omneky to achieve an integrated workflow where the entire advertising PDCA cycle is completed within a single conversational interface.
Start your free trial
Development Background: Three Challenges Faced by Ad Operations
With the expansion of the digital advertising market, companies are increasingly required to manage complex operations across multiple platforms and brands. However, to truly drive the advertising PDCA cycle, "data analysis and insight discovery" as the starting point, and "seamless connection" from analysis results to production, are indispensable. Ad operations teams have persistently faced the following challenges:
1. **Disconnection between Analysis and Creation:** Data analysis was performed using dashboards or spreadsheets, while creative improvements were executed with different tools. Multiple tools and manual processes intervened in reflecting insights obtained from analysis into creative production.
2. **Hassle of Data Aggregation:** It was necessary to individually download data from each platform's dashboard (e.g., Facebook, Google, TikTok, LinkedIn) and manually integrate it.
3. **Time and Effort for Analysis to Reporting:** Manual processes for data formatting, chart creation, and insight description meant that monthly report creation alone could take several hours to half a day.
Chat With Data was developed as a feature to fundamentally resolve these issues and integrate all stages of the advertising PDCA into a single conversational interface.
"Chat With Data" Feature Overview
Chat With Data is an AI assistant that allows ad operations managers and marketers to analyze, visualize, and report on advertising performance data across multiple channels in real-time by simply asking questions in natural language (supports Japanese and English).
| Function | Overview |
| :----------------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Ad Data Analysis by Natural Language | By simply entering queries like "List creatives with CTR above average in the last two weeks," the system cross-analyzes data from Facebook, Google, TikTok, LinkedIn, Reddit, etc., and automatically generates responses including tables, charts, and insights. |
| Automatic Chart/Table Generation | Automatically displays pie charts of ad spend share, line graphs of CTR trends, performance summary tables, etc., inline. Supports rapid visual decision-making. |
| One-Click Report Generation | Automatically generates professional reports including Executive Summary, Key Findings, chart groups, and Strategic Insights & Recommendations from analysis results. Exportable as PDF/Excel. |
| Multi-Brand Support | Allows switching between multiple brands using a brand selector. Also supports cross-brand analysis in Global Analyze mode. |
| Omneky Integrated Workflow | Integrated with automatic ad creative generation, multi-platform delivery, asset management, and brand guidelines. Completes the PDCA cycle of analysis → production → delivery within the platform. |
| Creative Generation | Generates image and video creatives within the chat. Users can simply instruct, for example, "Create a new banner with these characteristics" or "Develop this into a video."
Analysis Report Sample Screen
Ad Generation Sample Screen
How Chat With Data Changes the UX
The fundamental difference brought by Chat With Data is that the data access model changes from "browsing" to "conversation."
**Freedom of Inquiry is Not Restricted:** Users are not bound by UI structure and can ask any questions that come to mind. Complex analyses such as "Compare creatives with the largest CTR change rate between last month and this month, by channel," and creative generation instructions like "Create 3 new banner patterns with those characteristics," can all be completed within the same chat using natural language. Analyses that previously required 3-4 filter operations on a dashboard, and production that involved moving to a separate tool, are now contained within a single conversation.
**Uninterrupted Flow of Thought:** The biggest advantage of a conversational UI is the uninterrupted flow of thought.