A prospect hit list built from scan data is not the same as a list of businesses in a category. It is a ranked list of businesses with documented, measurable problems that your service solves, prioritized by how severe those problems are. The difference in outreach response rate between the two is significant.
To learn more about building a local SEO prospect pipeline, visit Turn Website Traffic Into Local SEO Leads Automatically Each Day. Win Local SEO Clients With Data-Backed Prospecting and Fix Your Cold Emails With Real GBP Competitor Data cover adjacent steps in detail.
This article covers the exact process for turning F! Insights bulk scan results into a tiered prospect hit list, how to score and rank the businesses on that list, and how to use the list to prioritize outreach so you are contacting the highest-need businesses first.
In This Article
What Makes a Good Prospect Hit List
A prospect hit list has four qualities that a generic business list does not:
- Every business has a documented gap. Not “this business might need help” but “this business has a mobile PageSpeed score of 23, 8 reviews compared to the category average of 47, and an incomplete service list.”
- The gaps are ranked by severity. The business with three failing categories is a higher priority than the one with one mildly underperforming category.
- The outreach is already personalized. Each line item in the list has the specific data points that go into the first outreach message. You are not researching each business individually before you write the email.
- The list is tiered. Tier 1 businesses get immediate attention. Tier 2 are the follow-up queue. Tier 3 are a future nurture sequence. You work the list in priority order, not alphabetical order.
Running the Bulk Scan
- Choose a specific category and city. The more specific, the more accurate the competitor comparison data in each scan.
- Build a CSV of target businesses with at minimum two columns: business name and full address. Aim for 120 to 150 entries to account for scan timeouts and businesses with incomplete GBP data.
- Upload the CSV to the Bulk Scan tab in F! Insights. Set the scan radius to 2 to 5 miles for most urban markets. Start the scan.
- Wait for completion. A 120-business scan typically completes in 4 to 6 hours via WP-Cron. Do not restart if it appears slow.
For the full bulk scan workflow, see Build a Local SEO Prospect Pipeline in One Weekend.
Scoring and Ranking the Results
Scan category weights for prospect hit list scoring.
| Category | Score Weight | Why This Weight |
|---|---|---|
| Competitive Position | High | Direct ranking gap; most relevant to immediate prospect pain |
| Customer Reviews | High | Verifiable gap; easy to explain; high-urgency for prospects |
| Website Performance (PageSpeed) | Medium-High | Measurable, verifiable; strong outreach hook |
| Business Information | Medium | Profile completeness issues are quick wins once engaged |
| Local SEO Signals | Medium | Post activity, attributes; shows ongoing neglect |
| Photos and Media | Low-Medium | Visible but lower ranking impact than other categories |
For each business, sum the weighted category scores (lower score = more severe gap = higher priority). Sort ascending. The businesses at the top of the list are your highest-need prospects.
Building the Tiered List
- Tier 1 (top 20%): Two or more categories scoring below 50. Immediate outreach within 48 hours of scan completion. These businesses have urgent, documented problems across multiple categories.
- Tier 2 (next 30%): One category below 50 or two categories between 50 and 70. Outreach within 2 weeks. Real problems, less severe urgency.
- Tier 3 (remaining 50%): All categories scoring above 70 with minor gaps. Nurture sequence, not active outreach.
Using the List in Outreach
For every Tier 1 business, the outreach email writes itself from the scan data: “Your mobile site scored [X] on Google’s PageSpeed tool. The average in your category in [city] is [Y]. Your review count is [X], compared to the Map Pack leader’s [Y]. I have a full report. Want to see it?”
For how to write the cold outreach email specifically, see Cold Email Local Businesses: The Data-First Approach. For the objection cheat sheet that handles what comes back, see How to Write a Data-Backed Objection Cheat Sheet From Scan Patterns.
How F! Insights Exports Scan Data
F! Insights exports the full bulk scan results as a sortable CSV with all eight audit category scores per business, plus the AI pitch draft for each business pre-generated from the scan data. The CSV is your prospect hit list skeleton. Sort by composite score ascending, apply the tier cutoffs, and your prioritized outreach list is ready before you have written a single email.
Related reading: For running bulk scans across a city or niche before building the list, see the bulk scan workflow. Once the list is ready, building a 100-prospect pipeline in a weekend is the next step. The best prospect hits come from spotting businesses already losing ground to competitors. See the scan data breakdown of which niches produce the highest-scoring profiles.
Frequently Asked Questions
- How many businesses should be in a Tier 1 outreach list?
- Between 15 and 30 for a focused initial outreach push. Fewer than 15 and you have too small a sample to generate meaningful response data. More than 30 and follow-up becomes unmanageable if multiple businesses respond in the same week. Build the Tier 2 list simultaneously so you have a ready pipeline as Tier 1 responses convert.
- Should I include all eight audit categories in the outreach email?
- No. Lead with the one or two most striking data points. “Your PageSpeed score is 23, the category average is 51” is a specific, verifiable claim that creates immediate curiosity. Listing all eight categories in a cold email is overwhelming and reduces response rate. Save the full audit for the discovery call.
- How many scans do I need before building a useful prospect hit list?
- Ten to fifteen scans across a single market or niche gives you enough data to rank prospects by score and identify clear gaps. You do not need hundreds of scans to start. A list of twenty businesses with scores below 50 and specific gap categories documented is more actionable than a list of five hundred businesses with no scan context.
- What is the difference between a prospect hit list and a cold email list?
- A cold email list is contact data. A prospect hit list is contact data plus ranked scoring data that tells you why each business is worth contacting and what specific problem you will lead with. The scan data turns a generic list into a prioritized sequence where your highest-value prospects are at the top and each outreach is tied to that business’s actual GBP condition.
- Can I build a prospect hit list for a niche I have never worked in before?
- Yes. The GBP audit scoring categories are consistent across all local business types. Scan fifteen to twenty businesses in any niche and the data shows you which categories are weakest across that market. Restaurants tend to fail on post cadence. Service contractors tend to fail on photo counts and attribute completeness. The patterns appear quickly even in unfamiliar verticals.