Last week, I had the opportunity to meet with the team at AppSumo. Despite their significant commission, I view this as a chance for marketing exposure and greater visibility for my project. The terms for our Lifetime users will include a limit of 5,000 credits per month, resetting on the first day of each month. It's important to factor in all lifetime expenses and the likelihood that some Lifetime customers may not fully utilize their deals.
To upsell, I'm considering the development of an API along with frontend scripts that can integrate into our customers' websites. This should encourage faster credit consumption, particularly for those who wish to whitelabel the system's functions. This strategy could also attract high-ticket customers requiring system integration.
I'm currently working on a cohesive design, integrating all our data-mining tools. These include:
Lead Spider: This tool captures real-time search engine results based on custom commands and collects URLs and emails from any network or URL pattern, such as /contact pages.
Company Finder: This tool identifies businesses within certain areas and radius, utilizing real-time Google Places data. It crawls websites to gather essential contact information.
Ad Spy: This tool trawls real-time responses from Bing and Google PPC Ads, capturing advertisers' contact information.
All data will be saved as Projects and can be filtered on the Projects page. This page will also enable users to verify emails, enrich data with APIs such as Hunter.io, Snov, Clearbit, Pipl, and others, and then export projects to platforms like Hubspot, Lemlist, and Salesforce.
I'm currently developing a feature to create Campaigns from Projects. This will allow the sending of personalized cold emails with automated follow-ups, generated using AI.
The goal of this design is to offer a comprehensive tool that simplifies the process of setting up cold emailing campaigns, similar to GMass. As part of the implementation strategy, I will create instructional videos to train users on proper setup and usage.
I am open to any suggestions for future improvements and ideas.