Interlock Dynamic: Revolutionizing Search and E-Commerce Sales with Predictive Linguistics Syntax

Spencer Brown

“We help cloud businesses grow by adapting our offering based on our customers’ growth stage. Our platform editions are designed in a way to serve our customers’ every e-commerce need”.

In today’s ever-expanding digital landscape, the complexities of online marketing and sales have reached new heights. With numerous platforms vying for consumer attention, brands face the daunting task of navigating through the digital maze to make their mark.
Interlock Dynamic, a trailblazing company, has emerged as a front-runner in this space, revolutionizing the way businesses connect with their target audience. In an exclusive interview, we dive deep into the challenges they’ve encountered and the innovative solutions they’ve brought to the e-commerce marketplace. 

In our recent interview with Interlock Dynamics’ Founder and CEO Spencer Brown, we gained valuable insights into the company’s vision, achievements, and future plans. Interlock Dynamic is reshaping the way businesses scale their products, with a primary focus on Amazon. With their first to market interlocking system, they aim to streamline operations and maximize sales potential for brands and sellers. Here’s an exclusive look at our conversation with the visionary behind Interlock Dynamic.

As Spencer Brown explained, “The way consumers search for products online is constantly evolving. Regional phrases, colloquial
expressions, and unique slang often pose challenges for search engines like Google and e-commerce platforms like Amazon. It’s very difficult for these e-commerce giants to unravel, identify and connect consumers with the exact product match due to the nuances of regional language presences, colloquial expressions and slang”. 

Eight years ago, Brown recognized this void in the e-commerce marketplace and created Interlock Dynamic, the leading pioneer in the
field of predictive linguistic syntax technology. Using their suite of 28 proprietary algorithms combined with their past-present-future indexing technologies, they are connecting predictive organic regional search coupled with a frictionless path to purchase for products sold online. With a focus on optimizing search results and enhancing the consumer purchasing experience, Interlock Dynamic has revolutionized the way consumers search for and order everyday products sold online.

Founded on the principle of customer-centricity, Interlock Dynamic has developed a diverse range of e-commerce tools, currently
comprising twenty-eight functional solutions. What sets them apart is their unwavering commitment to addressing the specific needs of
their clients. Building these tools comes at a significant cost, with each tool requiring an investment of up to $250,000. However, Interlock
Dynamic views this investment as an opportunity to deliver deep value to their customers and the broader market for brands that want to
scale online. With their arsenal of patent pending tools, they empower brands to navigate the complex world of online commerce with ease and increase profit while cutting advertisement costs in half.

One of the key challenges Interlock Dynamic tackles is the fragmented nature of the internet, with different platforms catering to specific purposes. Google represents the search line, where users turn for answers and information. On the other hand, Amazon serves as the go-to destination for immediate purchases. Meanwhile, Facebook acts as the sharing and promotion line, while Instagram showcases the users’ desire to exhibit their experiences. Twitter and Reddit have their unique roles in the online ecosystem, providing outlets for complaints, humor, and lively discussions. Interlock Dynamic recognizes that Google’s search and matching system may not always deliver accurate results in terms of users’ gender, age, and purchasing preferences. As privacy concerns limit the information accessible to platforms like Google, Interlock Dynamic steps in to bridge this gap. By analyzing regional differences, search frequency, and user behavior, their proprietary technology deciphers the intent behind search queries. For example, they can identify that searches for “cracked heel cream” in Florida are typically conducted by seniors, while coastal areas attract younger demographics interested in heal maintenance due to prolonged use of flip flops and sandals.

This dynamic approach allows Interlock Dynamic to understand customer preferences on a granular level, helping them tailor products and marketing strategies accordingly.

However, the advent of privacy restrictions, most notably implemented by Apple, has intensified the need for innovative solutions. Interlock Dynamic’s suite of tools shines in this regard, providing a lifeline for businesses seeking to identify and reach their target audience without relying solely on past data or encroaching on users privacy.

One of their major breakthroughs involves creating connection points through images, articles, and indexed content. By leveraging organic and natural searches, Interlock Dynamic circumvents the exorbitant costs associated with traditional advertising on Google and Amazon. Furthermore, their proprietary Interlocked Dynamic QR codes enable seamless interactions with products, fostering repeat purchases to increase sales conversions. The ultimate goal for Interlock Dynamic is to create frictionless paths to purchase between Google, Amazon, and the customer. By aligning the interests of these key players, Interlock Dynamic ensures that relevant search results lead to satisfied customers, while also generating additional product sales without advertisement spend for their clients by leveraging their data science expertise within e-commerce.

The Birth of Interlock Dynamic:
Eight years ago, while working in e-commerce data labs, the founder of Interlock Dynamic made a groundbreaking observation. Consumers searching for common household products often used regional phrases and meanings that were not properly indexed by popular search engines. For instance, a butter dish with a lid might be referred to as a “butter box” in California, a “butter coffin” in New York, or a “butter keeper saver” in the Midwest. With over 90 regional terms that relate to a basic butter dish with a lid, which terms will connect and consummate a sale? When a manufacture markets their line of butter dishes with lids, which terms will convert into an immediate sale? When a brand markets their butter dish with a lid, how do they position it for all of the possible terms? These natural discrepancies between regions always lead to missed search results, frustrated users, and missed sales opportunities.

Passive-Active-Elevated Link Exchanges:
To address this problem, Interlock Dynamic developed a first-of-its kind technology that leverages passive-active elevated link exchanges. By strategically placing images, articles, and videos related to a product, Interlock Dynamic ensures that these resources are indexed as passive active exchanges until a user employs a specific regional phrase or meaning in their search. When this happens, Google’s indexing system recognizes the unique set of terms and connects this query with the corresponding content, ultimately leading the user to the exact match product sold Amazon. This predictive link exchange creates a frictionless path of purchase from what the consumer thinks, says, types and means to create the foundation of Interlock Dynamic’s success. These passive-active elevated link exchanges are updated every 14 to 21 days to optimize and refine the highest converting terms per region. This distribution of passive active elevated link exchanges allows each region to have an exact product match based on the past-present and future search terms used for the consumer good sold online.