General Overview
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Cold outreach conversion rate increased by 36 percent.
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Time spent per market analysis was reduced by 65 percent.
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Lead qualification and targeting became more accurate.
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Positive response rates improved by 48 percent.
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Internal teams gained strategic clarity, driven by real-time, AI-backed insights.
Challenge
A forward-thinking digital company faced a turning point. Its existing markets had matured, growth had stalled, and traditional analysis methods no longer delivered the needed insights.
Manual research was slow and resource-heavy, often failing to keep up with rapid market changes. The leadership team asked: How can we continuously identify new business opportunities without overburdening our teams?
Comparison between classic market analysis vs. AI-powered dashboard
Action
Together with bloola, the company developed an AI-based research and analysis workflow. The team starts with a specialised training program - offered by bloola - including designing custom prompts that systematically extracted insights on market shifts, emerging sectors, and customer behaviors.
These prompts were integrated into a repeatable routine, allowing for exploratory and data-driven research. Analysts could iterate quickly, adjust prompts, and feed in proprietary data.
Over time, the process evolved. What began as a manual approach transformed into a partially automated system. AI tools now monitor data sources continuously and generate alerts when changes occur in predefined sectors.
bloola workflow diagram showing prompt design, AI analysis, visualization, feedback
Result
The outcome was significant. Within three months, the company discovered three promising industries and built its first leads.
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Cold outreach conversion rate increased by 36 percent.
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Time spent per market analysis was reduced by 65 percent.
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Lead qualification and targeting became more accurate.
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Positive response rates improved by 48 percent.
-
Internal teams gained strategic clarity, driven by real-time, AI-backed insights.
This approach led to measurable results and a cultural shift toward data-centric decision-making.
KPI dashboard: response rates, conversion rates, time savings, number of new market segments
Perspective
This system is just the beginning. With bloola, the company is now moving toward full automation — from signal detection to actionable recommendations.
The vision is a seamless process where AI monitors industry movements, identifies potential leads, and suggests tailored outreach strategies in real time.
CRM integration is underway, enabling full alignment across sales, marketing, and research. Ultimately, the AI will act as a strategic assistant, scanning markets, uncovering trends, and empowering teams to act — before competitors do.
Future concept of an AI-integrated analysis and CRM system in action
Do you have any questions or need further information?
You want to know more about the process of AI implementations or how to start the usage of AI? Arrange a meeting with us and we explain your how you can use AI in your business.
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