What is Imply Labs?
In 2009, a team started to build an algorithm that would translate data, behaviors and trends gathered from an individual's social media into relevant products, services and information.
The goal was simple, but idealistic: make the mounds of "stuff" in the world more relevant.
We wanted to put on a muzzle on the information-overload beast. Tame the web according to the desires of every individual, but without bothering them with long questionnaires and tiresome implementation procedures.
Enter Imply Labs. We simply use the information already offered by individuals on their social media to imply relevance.
By 2011, the algorithm was ready for consumer use. GiveEmThis.com, a personalized gift engine, was the first site to use our predictive buying technology.
Imply Labs has a large team, many products in testing phases and works full time to constantly improve our technology to help your company be more relevant and help consumers find more relevance.
When can I try it?
Right Now!
Go and try out GiveEmThis.com, a personalized gift engine.
Using Imply Labs' proprietary technology, you can find personalized gift ideas for your friends based on their likes and interests. Go ahead, see what products come up for you and your friends. It's pretty cool.
Why will I love it?
For Companies
You can market your most relevant products, services and information to each person in three ways:
- Get on our website to be seen by people who don't even know they are looking for you. Your products, services and information will be marketed directly to people who fit the profile of someone who would love your stuff.
- If you have a database of products, services or information, you can utilize our technology for mass personalization in three ways:
- 1. Gift service—provide your customers a tool where they can find the best gift for their friends, based on your offerings.
- 2. Personal Shopper—let customers stay up-to-date on your offerings most relevant to them.
- 3. Website customization—allow your website experience to be personalized for every user so they can see your most relevant offerings and you can maximize your earnings.
- You can also become an affiliate with one of our products, such as GiveEmThis.com. To see if you qualify, email info@GiveEmThis.com.
For Consumers
You can easily find stuff that’s relevant to you without you even knowing it exists. This is a new way to shop in which you don't have to go find products, services and information; we'll help them find their way to you.
Try it out at GiveEmThis.com, your personalized gift engine. Also, keep up—to—date to find out when our Personal Shopper service will be public and when we will be on other sites.
Join our mailing list. Your email is safe with us. No spamming or selling allowed. Simply email info@implylabs.com with the subject of "Don't Spam Me!"
How does it work?
Once the technology is introduced to someone's Facebook, twitter, blog, etc., it analyzes the data, behaviors and trends to discover the implications. We don't just look at Facebook likes and interests, we look at blog posts, status updates, tweets, re-tweets, bios, etc. Social media allows people to say more than "I Like This" so we look at more. In fact, Facebook "Likes" constitutes less than 1% of our analysis.
When humans talk about something, there are a long series of implications. If someone likes the beach, then they might like sand, warm weather, water, the sun, flip flops, and on and on. We try to better understand those implications. We might not always be right, but the more people use the technology, the smarter it becomes.
Then, based on the back-end system, those products, services and information that have the highest probability of being interesting to the individual being analyzed are recommended.
And that is how social media meets commerce.
For Example:
While there are hundreds of functions to the algorithm, here is an example of the thinking:
Let's say you need to buy a gift for your buddy John.
"What should you give him?"
You are smart and go to GiveEmThis.com.
You Facebook connect, type in John's name and press "What Should I Give 'Em?"
He likes to cook. In fact, he has it listed as an interest on Facebook.
He has also likes to run. While it isn't an interest on Facebook, he has referenced running in his last three Facebook posts.
Without even knowing it, John might be asking for something such as…oh I don't know, maybe this: "The Athlete's Palate Cookbook"
The fact that John runs implies that he might like to eat healthy, or that he likes to be outside, or that he likes athletic clothes or that he is trying to be fit or maybe he just likes to wear headbands. By cross-referencing these implications with other data, behaviors and trends, we can find those gifts that John would love to get.
How cool is that?