The 'Emma' App Saves You Money by Tracking Subscriptions and More
Michael Hemsworth — September 26, 2017 — Lifestyle
The average consumer has dozens of expenses each month that need to be paid, so the 'Emma' app is designed to help them nick and pick through them to ensure they can cancel and maintain everything more effectively. This helps users to avoid unnecessary money spend, avoid overdrafts and other bank fees and find ways to save money more effectively rather than simply relying on guesswork.
Finances for many consumers are only becoming more complex, which is pushing many to seek out smart methods of ensuring that every penny is accounted for to curb unnecessary spending as cost of living increases. The 'Emma' app is an example of how this can be done to save users hundreds of dollars every year.
Finances for many consumers are only becoming more complex, which is pushing many to seek out smart methods of ensuring that every penny is accounted for to curb unnecessary spending as cost of living increases. The 'Emma' app is an example of how this can be done to save users hundreds of dollars every year.
Trend Themes
1. Spend-tracking Apps - Apps like Emma help consumers keep track of their expenses, leading to opportunities for budgeting, financial planning, and targeted marketing.
2. Personal Finance Management Tools - With the increasing complexity of finances, personal finance management tools can help individuals make sense of their expenses, plan their budgets, and save money.
3. AI-powered Finance Apps - Finance apps powered by AI can offer more personalized insights and recommendations for users to optimize their spending habits.
Industry Implications
1. Personal Finance - Personal finance companies can develop spend-tracking and management tools to help individuals manage their expenses and save money.
2. Banking - Banks can integrate spend-tracking and budgeting tools into their mobile apps to offer more value and convenience to their customers.
3. Artificial Intelligence - AI companies can develop algorithms and solutions to power finance apps, offering personalization and customized recommendations for users to optimize their spending habits.
1.1
Score
Popularity
Activity
Freshness