Privacy TLDR, how and why do we process your data?
Our mission is to help businesses book new revenue on autopilot, insights into how we help businesses with a privacy first approach below:
Handling audience data (email recipients) based on public information
We have a secured system which stores this public information:
- First Name
- Last Name
- Company information
- Website Metadata
- Technological Data/Information from the website
- Any publicly available information without touching private information like email addresses
We search for company data from reliable sources, and it forms a tree from high-level information to try to be accurate. We then have a process to use real-time machine learning to predict anybody's corporate email address. As with all search engine indexes, we also search for the corresponding position or job titles. We never store that address in our database (only in the memory aka RAM) as we could also be wrong about our guesses, quite a few times - people respond and tell us about it too.
We never share it to anyone (unlike many malicious advertisements that exist in the world today). Why we got into the business is the impact of direct communication on running ads on free products that crawl on data farms. Being straightforward is bolder, but we have to deal with a lot of heat - especially with language preferences, etc.. We hope to be more vocal about how to advertise in a way that respects privacy, and we need to prove that first. We are building a better AI that could possibly not bother someone without needing to know personal data.
Our progress in helping small businesses
According to the US Small Business Administration, “small businesses” are defined as “firms with fewer than 500 employees.” There are around 27 million small businesses that do not hire any employees. 5.4 million have fewer than 20 employees, and 650,000 businesses have under 500 employees.
The economic implications have been particularly challenging for small businesses. According to the U.S. Census Bureau Small Business Pulse Survey , 34.2% of all businesses surveyed during the second week of August reported experiencing financial impacts from the pandemic. During the beginning of the pandemic, businesses with between 20 to 49 employees had the largest employment decline of any size group.
In 2022, the number of small businesses in the US reached 33.2 million, making up nearly all (99.9 percent) US businesses. The increase in the number of small businesses in the US in 2022 is representative of the sustained growth as it marks a 2.2 percent increase from the previous year and an overall growth of 12.2 percent from 2017 to 2022. 86% of small businesses say technology helped their business survive during COVID. Source(s): https://www.uschamber.com/technology/empowering-small-business-the-impact-of-technology-on-u-s-small-business
Clearly, technology is a driver of economic success for small businesses, and we should promote an environment that enables all businesses to succeed with digital tools. For such businesses survival is primarily garnering future customers via any affordable means possible as they can’t afford an exorbitant CAC, while retaining existing customers with multiple upgrades.
Companies spend an average of $300 to $1000 on Facebook ads per month, depending on the size of the business as well as an investment in social media advertising. For example, an enterprise may invest $5000 per month on Facebook ads. Most businesses will spend up to $1000 for self-managed email marketing. Mid-sized businesses that work with an email marketing agency typically spend $300-$1500 per month.
However, most revenue opportunities are lost during the transition as ideal client profiles are obtained from audience channels, data providers, etc., and account targeting through personalized messages. Or by creating webinars or conferences for ad promotions and retargeting audiences, and then finally having qualified meetings, it's a long way and, in short, it takes a lot of time. Hence, Kalendar.AI. Sourcing, engagement, and scheduling is usually taken care of by different companies, separately (with added costs); here we take care of it all! Building this tool in less than two years is incredibly challenging and we're still learning!
We help you reach your target audience via our Mailbox infrastructure and vast database (340M+ profiled). Kalendar AI writes personalized invitations using AI which have proven to be more effective than regular marketing emails. Each email uses icebreakers by leveraging school history, real-time industry news, etc., and an interactive attachment that has limited time slots (one session).
We built a back-end email client with a clean-cut domain and an email account to send these invitations at scale; introducing you via a Marketing Teaser deck (read Interactive Deck) that speaks about what your offering is, inviting them to book a meeting with you. One might say that we are a one-window solution.
Our AI content and its scope
Kalendar AI writes personalized invitations using AI which has proven to be more effective than regular marketing emails. Each email uses icebreakers by leveraging school history, real-time industry news, etc., and an interactive attachment that has limited time slots (one session). While are AI continues to learn through the process of personalization, there can be errors which slip through (< 1%). If you happen to find any errors in the AI content generation, please let us know with your kind, big heart, by simply replying to the email you received. We’ve a dedicated team that caters to your responses, to make sure your voice is heard. Here’s what some of the recipients had to say about the email they received.