Insights to
Transform Your Business

A blend of cutting-edge data science expertise with strategic marketing insights to empower your decision-making process

SERVICES WE PROVIED

We transform raw data into actionable insights that will drive the growth of your business

Text & Sentiment Analysis

Gain insights into the emotional tones and semantic subtleties embedded in text feedback, customer surveys, product reviews, etc.

Channel Attribution

The old models are guesswork. Embrace the smarter high tech Markov Chain calculated attribution, for greater accuracy and improved ROI

Customer Segmentation

Business growth by understanding customers motivations and interests, buying patterns, delivering targeted messaging.

Deep-dive Data Analytics

Advanced models consider multiple features simultaneously, adapt to complex patterns to provide actionable insights to drive growth.

Sentiment Analysis Case Studies:

We were asked to provide  a detailed sentiment analysis for the potato chip product review. So we utilized the data science ML models using transformers like Google’s RoBERTa and DeBERTa to produce psychographic analysis with sentiment scores, and mapped them back into the customer feedback texts. You can download the written report with full explanations and recommendations at below link.

A longer video of Potato Chips review

Looking for Customer Segmentation?

 

Channel Attribution Case Studies:

Digital channel attribution is extremely important for online businesses as it allows them to properly allocate resources in the most efficient and effective way. Older common models include first-touch, last-touch, linear, and time decay. However, here at Insights Overflow we utilize data-driven attribution using the Markov Chain model, which analyses your own historical data to provide the most accurate channel attribution possible.

Customer Segmentation Case Studies:

Whether a multinational conglomerate or a small start-up, the strategic implementation of customer segmentation can be a game-changer, driving growth, innovation, and competitive advantage in today’s dynamic business environment. A practical example of customer segmentation could be seen in the fast-food industry, where outlets might segment their customers by dietary preferences, offering plant-based options to cater to the growing segment of health-conscious consumers.

Deep-dive Data Analytics

Unlock the full potential of your business with advanced data and text analysis services designed for both large enterprises and small businesses. Our expert analysts dive deep into your marketing, sales, and operational data, transforming raw information into actionable insights that drive strategic growth and increase market share.

We employ cutting-edge techniques in data science, including machine learning, predictive analytics, and sentiment analysis, to uncover hidden patterns and trends within your data. This comprehensive analysis enables you to make data-driven decisions that enhance efficiency, optimize resource allocation, and maximize ROI.

We have a diverse range of services:

Analysing marketing and sales data, campaign data, website utilization, market research data, survey feedback, and much more

Insights Overflow transforms your data chaos into a clear roadmap for success with exceptional service.

Our dashboards will make your complex data instantly understandable. A game-changer for your business!

Customer profiling and customer churn models

CASE STUDY

Text and Sentiment Analysis

Utilizing AI Models

At Insights Overflow, we are leveraging cutting-edge data science methodologies by employing state-of-the-art pre-trained language models such as Google BERT, RoBERTa, and DeBERTa, among others. These models enable a deep understanding of contextual nuances in language, which significantly enhances our capability to classify text inputs accurately.

TESTIMONIALS

Hear it From Our Clients

"A huge thank you for showing me the dashboard. This is such an incredible piece of work, with lots of insights to be gleaned."

AJ

"The work you've done is fantastic, and you're really helping to get to the bottom of what those top accounts look like. Brillant work."

TS

"You demonstrated great commitment and prioritisation to deliver this one for our team. Thank you for your hard work...in getting us what we needed for our Alliance meeting."

NG

FAQ,S

Frequently Asked Questions

Sentiment analysis can identify common themes and emotions in customer feedback, allowing you to address specific issues and improve overall customer satisfaction by tailoring your responses and services to meet customer needs more effectively.

While sentiment analysis tools are increasingly accurate, they are not perfect. But by using advanced Python’s NLTK with some of the most advanced transformer models the accuracy can be greatly increased. At Insights Overflow we can analyze large volumes of text to determine sentiment and extract meaningful insights.

Digital channel attribution is the process of assigning credit for conversions to different marketing channels and touchpoints. It helps businesses understand which channels are most effective in driving sales and conversions, enabling more informed decisions on resource allocation.

The best attribution model depends on your business goals and customer journey. Older common models include first-touch, last-touch, linear, and time decay. However, here at Insights Overflow we utilize data-driven attribution utilizing the Markov Chain model, which analyses your own historical data to provide the most accurate channel attribution possible.

By identifying which channels and campaigns yield the highest ROI, you can allocate more budget to high-performing areas and reduce spend on less effective channels. Continuous monitoring and adjustment based on attribution data will help optimize overall marketing efficiency.

Customer segmentation allows you to tailor marketing efforts to specific groups, leading to more personalized and effective campaigns, improved customer retention, higher conversion rates, and better resource allocation.

Common methods include demographic segmentation (age, gender, income), psychographic segmentation (lifestyle, values), behavioral segmentation (purchase history, product usage), and geographic segmentation (location). We utilize all of this to provide in-depth psychographic analysis of your customers.

Use data-driven approaches, combining quantitative data (sales, web analytics) with qualitative insights (surveys, customer interviews). Regularly update and refine segments based on changing customer behavior and market conditions.

Key metrics include brand awareness (e.g., social media reach, website traffic), customer engagement (e.g., interaction rates, time spent on site), customer loyalty (e.g., repeat purchase rate, Net Promoter Score), and overall market share.

Ready to harness the power of your data? Reach out now and letʼs create success together!

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