β
Pipeline updated June 22, 2026. 4,891 TX gas station leads mapped with city data, street view, and branded/unbranded filter. Offer letter PDF built. Grade A+B leads concentrated in Houston Metro (981) and DFW (270).
Build Progress
Overall Progress3 of 5 phases complete
β
Phase 1 β Database
β
Phase 2 β Data Pipeline
β
Phase 3 β Enrichment + Map
π Phase 4 β Offer Letter + Email Template
π Phase 4b β Discovery Calls (Andres + Ricardo)
β³ Phase 5 β Email Campaign (684 Grade A leads)
π In progress: Offer letter PDF built β pending Andres approval. Once approved, building the 3-email outreach sequence. Discovery calls start in parallel: Andres + Ricardo target top Grade A leads in Houston + DFW.
Lead Database
4,891
Total Leads
TX gas stations
4,524
Unbranded
Primary targets
416
Grade A
Email + Phone ready
1,291
With Phone
Direct line
0
Hot Leads
Calls in progress
Enrichment Progress
Leads geocoded (city/county filled)4,579 / 4,891 (94%)
Grade A β Email + Phone (ready to contact)416 / 4,891 (9%)
Grade B β Phone only (call-ready)565 / 4,891 (12%)
Offer letter built + deployedβ
Live at outreach.laverdegas.com/offer.pdf
Data Sources
| Source | Records | What It Added | Status |
| OpenStreetMap | 2,964 | Station locations across all TX Hispanic ZIPs | β
Done |
| ArcGIS / SafeGraph | 1,927 | Commercial-grade data for Houston + Dallas | β
Done |
| TCEQ PST Records | 1,292 matched | Legal owner name, phone, email from state UST filings | β
Done |
| Hunter.io API | 48 credits left | Email finder for leads with business domains | β
Connected |
| TX Comptroller (NAICS 447) | 64 records | Franchise tax filers β small supplement | β
Checked |
| TABC License Data | β | Beer/wine permits β c-store confirmation | β³ No bulk API |
| Texas Lottery Retailers | β | Lottery license β operator name confirmation | β³ No bulk API |
| SendGrid / Email Outreach | β | Sends personalized emails to all 684 Grade A leads | π Needs DNS |
Top Markets
| City | Total Stations | With Email | With Phone |
| Houston | 839 | 110 | 356 |
| Dallas | 275 | 29 | 42 |
| Fort Worth | 192 | 26 | 47 |
| Austin | 72 | 0 | 0 |
| San Antonio | 71 | 0 | 0 |
| Arlington | 70 | 15 | 21 |
| Pasadena | 66 | 16 | 33 |
| Laredo | 37 | 0 | 0 |
| Amarillo | 35 | 0 | 0 |
| + all other TX cities | 3,234 | 220 | 792 |
π Pre-launch strategy: One week of 50 discovery calls before the mass email campaign. Not a sales call β a learning call. The answers will reshape the email, landing page, and form.
Phase 4 β Discovery Calls (Week 1)
| Step | Action | Goal | Status |
| 1 | Filter non-owner emails | Remove licensing@, permits@, admin@, info@ β these don't reach decision makers | β³ To do |
| 2 | Phone-verify top 100 leads | Confirm owner names before calling. 15 min of work, saves 5 hours of wasted calls. | β³ To do |
| 3 | Run 50 discovery calls | 5-min conversations: "What do you know about La Verde? What's your biggest concern about rebranding?" | β³ To do |
| 4 | Document objections + language | What words do they use? What kills the deal? What excites them? | β³ To do |
| 5 | Rewrite email + landing page | Use their words, address their fears, lead with what actually resonates | β³ To do |
Phase 5 β 3-Email Warm-Up Sequence (Week 2+)
π Why 3 emails instead of 1: A single cold ask to 684 strangers gets 1β2% conversion. A 3-email sequence that builds trust first can 3Γ that rate.
| Email | Subject / Purpose | CTA | Timing |
| Email 1 |
Introduce La Verde β who we are, why Texas, why now. No ask. |
"Learn more" β brand page |
Day 1 |
| Email 2 |
Real operator story β photos of a rebranded station, before/after, what the owner said. |
"See the transformation" |
Day 4 |
| Email 3 |
Personal offer β "Carlos, here's what La Verde would invest in your station." ROI number in subject line. |
"See My Offer" β Module C |
Day 8 |
Discovery Call Script (Template)
Opening: "Hi [Name], I'm calling from La Verde β we're a fuel brand doing research on what independent station owners in Texas care about most when it comes to branding. Do you have 5 minutes?"
Question 1: "Have you heard of La Verde before?"
Question 2: "What would make you consider adding a brand to your station?"
Question 3: "What's your biggest concern about rebranding?"
Question 4: "What would the perfect offer look like?"
Close: "Thank you β we'll follow up by email with what we offer. Would that be okay?"
Expected Funnel Impact
| Metric | Without Strategy | With Strategy |
| Emails opened | ~116 / 684 (17%) | ~175 / 684 (25%) |
| Clicked CTA | ~14 (12% of opens) | ~53 (30% of opens) |
| Completed form | 3β4 (25% of clicks) | 13β16 (30% of clicks) |
| Hot leads generated | 3β4 | 13β16 |
β
June 22, 2026 β Major progress today. Map rebuilt with all 4,891 leads, street view, branded filter. Offer letter PDF live. Data cleaned. Now building the email campaign.
What Was Built Today
| Item | Status | Notes |
| Lead map β all 4,891 stations | β
Live | Was showing 1,292. Now full TX coverage with clusters. |
| Street View in map | β
Live | Click any pin β side panel opens with Google Street View |
| Branded / Unbranded filter | β
Live | 4,524 unbranded targets vs 367 already branded |
| City geocoding (2,849 leads) | β
Done | 94% of leads now have city + county. 312 rural/border leads have coordinates only. |
| Partner Offer Letter PDF | π Pending Approval | Live at outreach.laverdegas.com/offer.pdf β awaiting Andres review |
| Excel export on invoice dashboard | β
Live | dashboard.laverdegas.com β Invoices tab β Download Excel button |
Immediate Next Steps
| Priority | Action | Owner | Status |
| π₯ 1 |
Approve offer letter PDF β review outreach.laverdegas.com/offer.pdf and confirm copy + structure |
Andres |
β³ Pending |
| π₯ 2 |
Build outreach email β 3-email warm-up sequence around the offer letter. Email 1: intro. Email 2: proof. Email 3: personal offer. |
Rex |
β³ Ready to build |
| 3 |
Enrich Austin / San Antonio / RGV β those markets have leads but zero contact info. Options: Texas SOS data or broader TCEQ re-match. |
Rex |
π Queued |
| 4 |
Wix DNS β add Brevo DKIM/TXT records to fix email spam classification. Log in to Wix and add 3 DNS records Rex will provide. |
Andres |
β³ Needs Wix login |
| 5 |
Start discovery calls β Andres + Ricardo call top 50 Grade A leads in Houston. Use the call script in the Pre-Launch Strategy tab. |
Andres + Ricardo |
π Ready to start |
| 6 |
Calendly link β add booking link to the offer PDF so operators can self-schedule a call |
Andres |
π When ready |
Systems β All Live
| System | URL | Status |
| Leads Map (4,891 leads) | outreach.laverdegas.com/leads-map.html | β
Live |
| Partner Offer PDF | outreach.laverdegas.com/offer.pdf | β
Live |
| PostgreSQL lead database | localhost β 4,891 records | β
Live |
| Executive Dashboard | dashboard.laverdegas.com | β
Live |
| Invoicing App | laverde-invoicing.vercel.app | β
Live |
| Operator Portal | portal.laverdegas.com | β
Live |
| Pricing Tool | prices.laverdegas.com | β
Live |
| HOT LEAD alerts | Built β inactive | β³ Needs DNS |
| Email campaign (SendGrid) | Built β inactive | β³ Needs DNS + PDF approval |
π§ͺ This is how the complete system works end-to-end β from finding an operator to signing a contract. Everything in green is already built.
Full System Flow β End to End
Step 1 β Find the Target β
Built
Census data identifies TX ZIPs with β₯40% Hispanic population. OSM + ArcGIS/SafeGraph pulls every unbranded gas station in those ZIPs. TCEQ cross-references the legal owner.
Result: 4,891 unbranded operators β 684 with verified email
Step 2 β Write the Email β
Built
Claude AI writes a personalized email for each operator using their name, station address, and city. Bilingual (English + Spanish). Subject line uses their actual address.
Subject: "Carlos, a branding opportunity for your station at 1420 W Commerce St, San Antonio"
Step 3 β Send via SendGrid π Needs DNS
Emails sent from outreach.laverde.com via SendGrid. Domain is warmed up (20/day β 500/day). Every open, click, and bounce is tracked.
From: La Verde <hello@outreach.laverde.com> Β· Tracking: open + click
Step 4 β Operator Clicks CTA β
Built
Email has one button: "See My Offer". Click opens the La Verde landing page pre-filled with their station info (name, address, city). They just confirm and add their station details.
CTA β https://laverde.com/offer?name=Carlos&addr=1420+W+Commerce&city=San+Antonio
Step 5 β Operator Fills Form π Upgrading
Operator enters: number of pumps, canopy sq ft, store sq ft, cooler doors, monthly gallon volume. ROI calculator runs instantly. Claude recommends the best tier (1, 2, or 3).
Input: 6 pumps Β· 1,200 sqft store Β· 8 cooler doors Β· 85,000 gal/month β Tier 3 recommended
Step 6 β Offer Generated + PDF Sent π Needs cost data
Claude generates a bilingual offer summary. Branded PDF is emailed to operator instantly. Calendly link included to book a call. All numbers are specific to their station.
PDF: "Based on your 6 pumps + 1,200sqft store, La Verde invests $55,000. Your gain: $39,100/year."
Step 7 β HOT LEAD Alert β
Built
The moment an operator submits, the sales team gets an email alert with all their data: name, phone, email, station specs, tier selected, total ROI. Sales rep calls with full context.
Alert β sales@laverde.com: "π₯ Carlos Mendoza | (210) 555-0192 | Tier 3 | $39,100/yr gain"
Step 8 β Sales Call β Contract
Sales rep already has all the numbers. The conversation starts where others end. Operator has seen the offer, done the math, and booked the call themselves. Close rate is significantly higher than cold outreach.
Rep knows before the call: volume, investment, ROI, tier preference, station condition
What's Needed to Go Live
| Step | Status | Blocker |
| Step 1 β Find targets | β
Done | β |
| Step 2 β Write emails | β
Done | β |
| Step 3 β SendGrid | π Blocked | DNS access for outreach.laverde.com |
| Step 4 β CTA landing page | β
Done | β |
| Step 5 β ROI calculator | π Upgrading | Cost benchmarks from Andres |
| Step 6 β PDF + Calendly | π In progress | Calendly link from Andres |
| Step 7 β HOT LEAD alert | π Ready, inactive | Sales inbox email from Andres |
| Step 8 β Sales call | π Your team | β |
La Verde AI Team Β· Rex, Head of Technology Β·