Business
How To Increase ECommerce Product Performance Without Increasing Marketing Spend
Dean DeCarlo, President and Founder of Mission Disrupt
Increasing online sales does not automatically require an increase in the marketing budget.
ECommerce companies often miss hidden revenue opportunities that are easily available. Implementing strategies to take advantage of these opportunities can lead to new company sales, by analyzing the most impactful metrics that organically increase product performance.
Conversion Rate Optimization is the practice of utilizing data analytics to run tests and increase onsite performance without increasing ad budget. Google analytics provides crucial first metrics to start with, before blindly testing new assets or applying content.
Landing Page Metrics
Conversions Rate: Ratio of customers that purchase vs. customers that visit a website. This crucial benchmark of performance provides insight into how changes directly impact landing page performance. For example, 1,000 users convert at a rate of 3%, which translates to 30 paying customers. If new changes are made to the landing page that results in a conversion rate of 4%, 10 more customers per 1,000 users will visit the website. Measuring conversion directly provides data on the adjusted changes showing an increase or decrease in performance.
Product Performance Metrics
Cart-To-Detail Rate: A metric that is often overlooked when measuring individual performance. This percentage includes data on users that have added a product to the cart after viewing the product page. If the Cart-To-Detail Rate is lower than average, immediately consider what may be causing it. Example issues include a sub-par product title, a bug, or product benefits that could be missing from the description, which is meant to convince a user to purchase. Focus on the actual products instead of the average to find the attributes contributing to the higher Cart-To-Detail Rate.
Buy-To-Detail Rate: Once the issues identified in the Cart-To-Detail Rate are fixed, the Buy-To-Detail Rate can be used as the ultimate benchmark of increased performance. Remember, even a 1% increase could result in a variety of lump sums in sales. If the data is displaying a decrease in performance, analyze the Check-Out-Behavior metrics.
Check-Out-Behavior Metrics: These metrics need to be checked on a weekly basis to ensure the eCommerce website performance is firing correctly across all six cylinders. Drops in performance can indicate cart issues that need to be addressed immediately. Problems such as slow loading times, lack of quick payment options (Venmo, Apple, Google Pay), or long fill-out times on customer forms, are all contributing factors that affect these metrics.
Billing & Shipping Drop Off: The percent of users that leave a website from the Billing and Shipping page. Understand what is causing the users to leave. For example, causes might include a lack of shipping options, broken discount codes, and forms without autofill for addresses. Focus on creating a fast and easy user experience.
Payment Drop Off: Indicates the users that leave a website during the payment input. A high drop-off percentage indicates that payment options need to be evaluated. The majority of users browsing online consists of mobile users. One-touch payment options such as Venmo, Apple, or Google Pay, are crucial in today’s digital age.
Review Drop Off: The last stage before the user confirms a purchase. The ratio will remain low if billing, shipping, and payment drop-off issues are tackled. Check that the pricing and discounts are clear and the submit order button is within view, to ensure users are aware they need to confirm the order.
Increasing product performance can be a tedious process, but the rewards are well worth it. These metrics can be used as the basis of your conversion rate optimization metrics and the additional recommendations can be analyzed in the order presented to make this a manageable process. Check out Dean DeCarlo’s Youtube series Impact Analytics Series. Visit: Missiondisrupt.com
Business
Click for Counsel: YesLawyer Wants to Make Lawyers as Accessible as Wi-Fi
Byline: Andi Stark
For many people facing a legal problem, the most difficult part is not understanding their rights but finding a lawyer willing to speak with them in the first place. Long wait times, unclear pricing, and administrative hurdles often delay even the most basic consultations. YesLawyer, an AI-enabled plaintiff firm operating across all 50 states, is testing whether technology can shorten that gap.
Founded in 2024 by 25-year-old entrepreneur Rob Epstein, the platform offers free intake, automated screening, and, in many cases, same-day conversations with licensed attorneys. The idea is simple: reduce the friction between a client’s first request for help and an actual legal discussion. In this interview, Epstein explains how the system works, where artificial intelligence fits into the process, and what problems the company is trying to address in the broader legal system
Q: When you say you want lawyers to be “as accessible as Wi-Fi,” what does that mean in practical terms?
A: It’s a way of describing speed and availability. Someone dealing with a workplace dispute, a serious injury, or an immigration issue should be able to move from an online form or phone call to a real conversation with counsel in hours, not weeks. YesLawyer is structured so that a client begins with a free case evaluation, goes through automated conflict checks and basic screening, and, in many instances, speaks with a lawyer the same day.
Q: How does the process work once someone contacts the platform?
A: We use a structured workflow. It starts with a short questionnaire and an initial conversation to capture basic facts. That information feeds into conflict checks and internal review. The system then proposes a match with a licensed attorney and provides a calendar link for a virtual consultation, often within 24 hours. After the meeting, the client receives a written legal plan outlining next steps, deadlines, and estimated fees.
Q: Where does artificial intelligence fit into that process, and where does it stop?
A: AI is used for organizing and routing information, not for giving legal advice. It helps with conflict checks at scale, case categorization, and structured summaries so attorneys can focus on the substance of the matter. Every consultation is conducted by a licensed lawyer, and all decisions about strategy or next steps are made by humans.
Q: What problem is this model trying to solve in the current legal system?
A: Delay and cost are still major barriers. Many civil plaintiffs face long waits just to get a first appointment, along with high retainers and hourly billing that make early legal advice risky. We try to respond with faster consultations, flat-fee options, and financing. The idea is to remove administrative friction so lawyers spend less time on logistics and more time speaking with clients.
Q: Some critics say platforms like this blur the line between a technology company and a law firm. How do you describe YesLawyer?
A: We describe ourselves as a national, AI-enabled plaintiff firm that connects clients with independent attorneys. That structure does raise regulatory questions, especially around responsibility and oversight. We focus on licensing verification, attorney-written case plans, and clear communication about fees and services.
Q: You’ve said the main bottleneck is “systems” rather than people. What do you mean by that?
A: The issue isn’t that lawyers don’t want to help more people. It’s that the systems around them make it hard to scale their time. Intake, scheduling, and document handling take hours. Automating those parts means attorneys can handle more matters without being overwhelmed by repetitive tasks.
Q: Does this model risk favoring only the most profitable cases?
A: That’s a real concern in legal technology. Automation often works best for repeatable, high-volume disputes. Our view is that lowering administrative cost can actually make it easier to take on smaller or more complex cases that might otherwise be turned away. Whether that holds over time depends on the data.
Measuring Impact Over Time
YesLawyer’s attempt to compress the timeline between inquiry and consultation reflects broader changes in how legal services are being delivered. As artificial intelligence becomes more common in administrative work, firms are experimenting with new ways to reduce wait times and clarify costs.
The company’s early growth suggests that many clients value faster access to an initial conversation, even before considering long-term representation. Whether this platform-based model becomes widely adopted or remains one of several emerging approaches will depend on regulatory developments, lawyer participation, and measurable outcomes for clients. For now, YesLawyer’s experiment highlights a central question in modern legal practice: how quickly can help realistically be made available to the people who need it.
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