Example problem: Inefficient search for small business acquisition targets.
Current process: Network + manual search + business brokers.
Our solution: Scrape targeted search terms filtering acquisition targets by geography, size industry, etc
We help: Search funds, business brokers, small businesses.
Example problem: Laborious building of social following
Current process: Manual churning of accounts, hashtagging, growth hacking, influencer marketing, fake follower purchasing.
Our solution: Automated building of social following through targeted algorithm.
We help: D2C companies, content aggregators, lifestyle brands.
Example problem: Chicken egg problem fulfilling two-sided need of demand and supply.
Current process: Ad-spend targeting potential customers on supply side based on target demographic profile.
Our solution: Source tangible customer contact data.
We help: B2B marketplaces, B2C, marketplaces.
Example problem: Deal flow mostly reliant on network and inbound leads.
Current process: Survey CrunchBase or AngelList, rely on network or inbound leads.
Our solution: Build live keyword trigger tracking keywords, past founders, trending GitHub repositories.
We help: VC funds, angel investors.
Example problem: Lack of information when making buying or renting decisions.
Current process: Search for comps from real estate agents and/or manually search MLS or Zillow.
Our solution: Gather, compile, and compare real estate listing info, building an aggregated market view to optimize your purchasing activity, charge market rents, or predict trends.
We help: Real estate investment managers, landlords, AirBnb hosts.
Example problem: Written output improperly perceived overly positively or negatively.
Current process: Measure feedback through reader polling.
Our solution: Measure feedback through quantifying written responses (ie comments).
We help: Online newspapers, blogs, internet forums.
Example problem: Confusing, slow, and inefficient public data resources.
Current process: Request data from government data sources or use antiquated .gov databanks.
Our solution: Find, cleanse, and tabulate data in any form needed.
We help: Public health companies, non-profits, endowments, foundations.
Example problem: Elastic pricing leads to being undercut by competitors.
Current process: Manual monitoring of pricing changes.
Our solution: Extract products properties from e-commerce websites to create price comparison engine, product aggregator, or lead competitive intelligence.
We help: D2C companies, boutique online shops.
References available upon request.