Join the Community

Optimizing Claygent for E-Commerce Market Analysis in the Netherlands | Clay

03 Tutorials & Inspiration

03 Tutorials & Inspiration

Optimizing Claygent for E-Commerce Market Analysis in the Netherlands

·

·

Dear Clay Experts out there, I would love to pick your brain on an idea that I have. We sell customer care and fulfilment services to e-Commerce brands & retailers and we specialize in crossborder (international) operations. The difficulty we experience is to get a clear view of the total addressable market, since every e-Commerce company can be potentially of interest to us. Through the Claygent we have created a formula that will analyze if a company got funding recently or posted anything online about funding, internationalization, new investors, scaling or growth. What misses, is a list of companies, which we don't have. Do you believe we can adjust this formula accordingly so it only searches for ''funding/internationalization/new investors/scaling/growth'' of e-Commerce companies in the Netherlands? Or will this be too difficult for the Claygent and should we maybe first let it search for ''funding/internationalization/new investors/scaling/growth'' in the Netherlands and then create a second Claygent that will analyze if the company is an e-Commerce company or not? Or any other ideas outside the box?

6 comments

Channeled
APP
·
·
We can adjust the Claygent formula to focus on e-Commerce companies in the Netherlands with specific growth indicators. Here's a suggested approach: 1. Use the Find Companies search in Clay to filter for e-Commerce companies in the Netherlands. 2. Create a Claygent prompt to search for funding, internationalization, new investors, scaling, or growth for these companies. Configure the outputs to structure the data effectively. 3. Define column outputs for each piece of information (e.g., funding stage, amount raised, internationalization plans). 4. In the prompt, instruct Claygent to output specific information to the corresponding columns. This approach combines both steps into one efficient process, leveraging Claygent's capabilities to find and analyze the information you need.
Sources: Claygent: AI Web Scraper [Clay 101] - Clay University Claygent: AI Web Scraper [Clay 101] - Clay University Find Companies [Clay 101] - Clay University
Asher
·
·
Hey Rutger V., I do have two clients now who are also selling to ecommerce businesses.
1.
Firstly, I would assume you use storeleads to find the ecommerce brands (Storeleads is probably one of the best database out there when it comes to ecommerce businesses)
2.
Trying to get Claygent to search funding/internationalization/new investors/scaling/growth is actually very heavy on the AI model, and too broad. You should either limit it to only finding one factor per column.
3.
Or alternatively, choose one factor that you want to focus on first. (E.g. Internationalisation). And get claygent to visit every ecommerce site you have shortlisted in step 1, and check if they ship to outside of Netherlands. Return Yes or No.
Lastly, when it comes to ecommerce businesses, I like to do 3 checks.
1.
Check if they are ecommerce (E..g Have online checkout)
2.
Check if they sell products of services
3.
Check if they sell physical products
I actually have a video here that talks abit about verifying lists - https://www.youtube.com/watch?v=rInDNsCcdwI Hope it helps!
Channeled
APP
·
·
To adjust the Claygent formula for e-Commerce companies in the Netherlands, we suggest this approach: 1. Use the Find Companies search to filter for e-Commerce companies in the Netherlands. 2. Create a Claygent prompt to search for one specific factor at a time (e.g., funding, internationalization, new investors, scaling, or growth) for these companies. 3. Define column outputs for each piece of information you want to extract (e.g., funding stage, amount raised, internationalization plans). 4. In the prompt, instruct Claygent to output specific information to the corresponding columns. This approach allows for more focused and efficient data collection, avoiding overloading the AI model with too many tasks at once.
Sources: Claybooks: Find high-intent accounts with long-term expansion potential | Clay.com Find Companies [Clay 101] - Clay University Claygent: AI Web Scraper [Clay 101] - Clay University
Channeled
APP
·
·
Michael V.
·
·
have claygent do both of those tasks together is a bad idea. What you are after is signal capture to feed into your Clay enrichment. Funding - can setup a google alert or pay Crunchbase and setup search of new funding transactions. You then need to scrape these results (apify) Headcount Growth - Setup a clay table on a schedule that runs "Find Company Headcount Growth". Import all that meet your growth criteria. Growing internationally - This is a more difficult one. Your best bet is to use AI to research the company for any mentions of international expansion. Your other option is to use the Clay Google News and provide a search query. Getting this query right will take some time. Hope this helps!
Channeled
APP
·
·
To effectively use Claygent for e-Commerce companies in the Netherlands without overloading the AI model, we recommend the following approach: 1. Focus on one signal at a time: • Funding: Use Claygent to search for recent funding announcements or reports. • Headcount Growth: Set up a Clay table to run "Find Company Headcount Growth" on a schedule. • International Expansion: Use Claygent to search for mentions of international expansion in company news or reports. 2. Use specific prompts for each signal and configure outputs to structure the data effectively. 3. Start with a small dataset to test and refine your prompts before applying to a larger list. This approach allows for more focused and efficient data collection while avoiding overloading the AI model.
Sources: Claybooks: Find high-intent accounts with long-term expansion potential | Clay.com Claygent: AI Web Scraper [CRM Enrichment] - Clay University Claygent: AI Web Scraper [Limitless Research] - Clay University