This guide provides practical steps for using PromptLoop for outbound sales. PromptLoop data can be a force multiplier on different levels of the sales stack, for different companies. These plays provide easy to follow guides that can help you get started.
Email can be an effective channel for growth when executed properly. Two themes have dominated strategies at almost every company lately in email marketing, targeting, and personalization. Both can be accomplished end to end with PromptLoop and is a the route of this play and how many teams use our platform. While personalization gets a lot of press, its mostly the final touch on good targeting and research, which is almost always more important.
Before launching an email campaign, you need to determine what information will help you:
Begin by identifying 3-5 key data points that would make a prospect more likely to convert. These might include company size, technology stack, recent funding, or specific services offered.
Usually, when you scan a website of a prospect you know where to look, what to read, and what to look out for to determine if they might be a good fit for your offering.
PromptLoop helps you automatically gather the information you need for qualification and personalization through web research at scale.
Your New Task:
Company Website
Custom Overview
I C P category 1
I C P category 2
Something else that might be useful
Examples:
Task Name: Selling to Self Storage Operators
Input: Company Website URL
Outputs:
Task Name: Selling to Self Storage Operators
Input: Company Website URL
Outputs:
Start with a small test batch (10-20 companies) to verify your task is working correctly before running against your full dataset.
Once you have enriched your data, you can use PromptLoop's Column Generation feature to automatically create personalized email snippets based on the information gathered.
You can see the guide to this here.

Use a company overview column or an ICP specific column from the task you just ran, as well as something like the companies name. You want personalization to not sound robotic and PromptLoop Column Generation lets you specify that or any other preferences.
Create a 4-5 word snippet for an email campaign that will fit into Hey first_name, I see that company_name is _______. Include why they are good fit like "offering and AI tool" "serves email users" and use informal language and abbreviations where possible.
Use the data you've gathered to qualify and prioritize your prospects:
| Attribute | High Priority | Medium Priority | Low Priority |
|---|---|---|---|
| Company Size | 50+ employees | 10-49 employees | <10 employees |
| Services Match | Offers 3+ target services | Offers 1-2 target services | No matching services |
| Technology | Uses competitive/complementary tools | Uses basic tools in category | No relevant tech stack |
| Content Freshness | Active content in last 30 days | Content in last 90 days | No recent content |
Many email platforms allow dynamic content insertion using merge tags. Ensure your column names match the expected format for your email platform, or rename them during export.
The same PromptLoop workflow can be adapted for cold calling campaigns with these modifications:
Create a Task specifically for phone number validation:
Browse the company website to find:
1. Main company phone number
2. Any department-specific phone numbers (sales, support, etc.)
3. Locations/offices with separate phone numbers
4. Hours of availability for phone contact
5. Whether they prefer contact forms over direct phone calls
Provide only the information that is explicitly available on the website.
Create a Task that gathers quick-reference information for Sales Development Representatives:
Browse the company website to compile a brief pre-call cheat sheet:
1. 1-2 sentence company description
2. Key products/services (list up to 3)
3. Recent company news or announcements
4. Potential pain points based on their industry
5. Names of key executives (if available)
6. Company size and locations
Organize this information in a concise, scannable format that an SDR could reference during a call.
| Criterion | Information to Gather | Qualification Signal |
|---|---|---|
| Decision Maker Identification | Executive names and titles | Presence of relevant decision-makers (CTO, CMO, etc.) |
| Technology Readiness | Current tech stack | Using complementary technologies |
| Pain Point Indicators | Recent company changes, job postings | Scaling team, entering new markets |
| Company Maturity | Years in business, team size | Established enough to have budget |
| Geographical Reach | Office locations, service areas | Matches your service capabilities |
Enrichment Task Focus:
Personalization Elements:
Enrichment Task Focus:
Personalization Elements:
Enrichment Task Focus:
Personalization Elements:
| Issue | Possible Cause | Solution |
|---|---|---|
| Missing data for some companies | Website structure varies significantly | Create more flexible browsing instructions or separate Tasks for different website types |
| Low-quality personalization | Not enough specific data points | Add more targeted outputs to your Task or improve browsing instructions |
| Task taking too long | Instructions too complex | Simplify your Task to focus on highest-value data points |
| Inaccurate data extraction | Ambiguous instructions | Make instructions more specific and provide examples of desired outputs |
Remember: The goal is to use automation to enable more personalized, relevant outreach—not to create generic mass emails. Always ensure your automated research leads to genuine personalization that provides value to the recipient.