Case Studies

Parker+Olive has helped numerous clients overcome growth challenges through innovative solutions. These case studies demonstrate how their services translate into tangible results across different industries and business sizes.

Startup Scale-Up Case Study

A New York-based SaaS startup struggled with user acquisition and retention. Parker+Olive implemented a comprehensive growth strategy that included AI-powered personalization and targeted marketing campaigns.

// Example: User segmentation logic
const segmentUsers = (users) => {
return users.map(user => {
  const segment = user.activityScore > 80 ? 'high' : 
                  user.activityScore > 50 ? 'medium' : 'low';
  return { ...user, segment };
});
};

// Apply personalized recommendations
segmentUsers(userData).forEach(user => {
if (user.segment === 'high') {
  sendRecommendation(user, 'premium_features');
}
});

-- Example: Churn analysis query
SELECT 
  user_id,
  last_login,
  DATEDIFF(NOW(), last_login) as days_since_login,
  CASE 
    WHEN DATEDIFF(NOW(), last_login) > 30 THEN 'at_risk'
    ELSE 'active'
  END as churn_status
FROM users
WHERE last_login IS NOT NULL;

Nonprofit Expansion Case Study

A local nonprofit serving underprivileged communities needed to expand their reach. Parker+Olive helped them modernize their operations and implement digital fundraising strategies.

SMB Digital Transformation

A small manufacturing business faced inefficiencies in their supply chain management. Parker+Olive implemented custom software and process optimizations.

# Example: Inventory optimization script
import pandas as pd

def optimize_inventory(current_stock, demand_forecast):
    optimal_levels = {}
    for item in current_stock:
        safety_stock = demand_forecast[item] * 0.1
        reorder_point = demand_forecast[item] * 1.5
        optimal_levels[item] = max(current_stock[item], reorder_point + safety_stock)
    return optimal_levels

# Usage
forecast = {'widget_a': 100, 'widget_b': 50}
stock = {'widget_a': 75, 'widget_b': 60}
optimized = optimize_inventory(stock, forecast)
print(optimized)

E-commerce Optimization

An online retailer struggled with low conversion rates. Parker+Olive redesigned their website and implemented targeted marketing strategies.

These case studies illustrate Parker+Olive's ability to deliver measurable results across diverse industries. Their data-driven approach and technical expertise enable clients to achieve sustainable growth and operational excellence.