Marketing and information structuring
Regular automated summaries, saving up to 8 hours per week on research
Marketing and information structuring
Information structuring in marketing transforms fragmented data into clear sales funnels, where each content element purposefully guides the customer to a purchase decision.
Result
Automation and structuring of business processes lead to significant profit increase through cost reduction and conversion growth.
Who it's for and why
Executives and business owners
- Regular automated summaries on market and competitors
- Saving up to 8 hours per week on analysis and data search
- Quick decisions thanks to brief summaries
- Report delivery to messengers and email
- Minimum manual routine and information chaos
Marketers and SMM specialists
- Source parsing: websites, blogs, forums, social networks
- Information filtering by keywords and topic
- Ready digests for content plan and strategies
- Real-time monitoring of trends and competitors
- Reduced workload on research and data collection.
Analysts and product teams
- Data collection from multiple systems and platforms in one place
- Automatic structuring and brief summarization
- Quick insights without long manual preparation
- Support for data-driven decisions
- Convenient reports for team discussions and planning
Investors and startups
- Quick market and niche segment reviews
- Monitoring of project dynamics and competitors
- Ready summaries for pitches, meetings, and presentations
- Time savings on source and metric analysis
- Only relevant information without info noise
Agencies and consultants
- Centralized data collection for clients
- Standardized reports for different tasks
- Automation of routine analytical processes
- Ability to serve more clients without team expansion
- Acceleration of analytics and strategy preparation
AI implementation process
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Audit
We organize an online meeting to identify problems and evaluate current processes
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Conclusion of the contract
We discuss all conditions, sign the contract and NDA
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Development of AI solutions
We collect and prepare data for training models
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Integration into business processes
We implement into existing systems and train employees
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Support and maintenance
We update software based on feedback
Reduction of manual work by 50%
FAQ
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How long does it take to implement an AI solution?On average 3-6 weeks, depending on project complexity and data volume.
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Do I need to prepare my data in advance?If data is prepared in advance, it will speed up the process. If difficulties arise, we can help.
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Who provides technical support after implementation?Technical support is provided by our specialists.