IT SERVICES

 

VERTICALS

Marketing

 

OBJECTIVE

Identify high potential large enterprise customers.

 

SOLUTION

  • Segmentation

  • Predictive Modelling

 

SOLUTION DETAILS

  • Segmented customers using RFM methodology

  • Discriminant analysis was used to identify the optimum cut off of revenue and transactions

  • Identified high potential customers with accounts which could be grown and invested

 

Marketing

 

Identify and rank Global and SMB companies most likely to purchase services from the client. 

 
  • Segmentation

  • Predictive Modelling

 
  • Identified segments of similar companies which have a higher propensity to purchase

  • Using regression analysis critical factors affecting purchasing were identified

  • Developed and recommended strategies targeting the various segments of customers


SOFTWARE PRODUCTS

 

Sales and Marketing

 

Build dashboards on opportunity pipeline and populate predictive modelling scores for prediciting probability to purchase and bundling/cross-sell.

 

Reporting Dashboards

 
  • 5 member dedicated team churning out dashboards and ad-hoc queries for the sales team


BPO

 

Human Resources

 

Identify factors that influence high attrition and performance.

 

Workforce Modelling

 
  • Using proprietary Redwood algorithms discovered that the profile of employees performing well and not attiring were completely different for two locations although they were for the same role

  • This insight was absolutely crucial as until then the recruitment for the same role but in different locations was being done in the same manner

  • Key factors influencing performance & attrition were identified for both locations thus sharpening the recruitment process

  • Redwood Algorithms can help IT companies with data-led marketing, customer segmentation, predictive insights, dashboards, campaign strategy, SaaS positioning, thought leadership, and lead generation. This is useful for IT service providers, SaaS firms, and technology companies that need clearer messaging and qualified opportunities.

  • Redwood Algorithms supports BFSI companies with analytics, customer segmentation, Campaign response modeling, cross-sell insights, dashboards, educational content, targeted campaigns, and trust-led digital communication. This helps financial brands combine growth with credibility.

  • Redwood Algorithms helps consumer goods companies with customer segmentation, purchase propensity modeling, regional targeting, pricing insights, creative content, Meta and Google campaigns, eCommerce marketing, and quick commerce promotions.

  • Yes. Redwood Algorithms can improve healthcare digital visibility through educational content, patient trust campaigns, doctor-led videos, social media creatives, search campaigns, WhatsApp follow up, CRM workflows, and dataled campaign measurement.

  • Redwood Algorithms helps eCommerce businesses with user segmentation, product creatives, Meta and Google campaigns, conversion tracking, retargeting, add-to-cart optimization, customer acquisition analysis, and repeat purchase strategy.