EVANS LIST

Proposal: AI-Driven Lead Generation Engine

Prepared forNick Lassor, VP of Sales
Prepared byEvan Foster
DateApril 17, 2026

Objective

Build an internal, automated lead generation system that replaces reliance on external partners by leveraging Amazon marketplace data to identify, segment, enrich, and activate high-fit brand prospects — resulting in a repeatable pipeline of qualified outreach targets on a weekly cadence.

Project Snapshot
159estimated hours
7–8week timeline
$15,900not-to-exceed
7project phases

Scope of Work

Discovery & Data Access
Week 1
21 hrs

Establish access to all required systems and data sources. Understand the Smart Scout API schema, available fields, and rate limits. Align on segmentation criteria and campaign logic with Nick and the sales team.

TaskHours
Kickoff meeting & requirements alignment2
Smart Scout API access, documentation review & data exploration6
Coordinate with Justin on internal tools & system access2
Map data fields to segmentation criteria4
Evaluate enrichment platforms (Apollo.io, LinkedIn)4
Evaluate Go High Level setup & configuration3
Data Ingestion Pipeline
Weeks 2–3
30 hrs

Build the automated pipeline that pulls Amazon data from the Smart Scout API, normalizes it, and stores it for downstream processing.

TaskHours
Design data model (brands, SKUs, subcategories, metrics)4
Build Smart Scout API ingestion scripts (Python)12
Data validation, error handling & logging4
Set up GitHub Actions workflow for scheduled weekly runs4
Testing & iteration against live data6
Brand Segmentation Engine
Weeks 3–4
24 hrs

Implement the logic that scores and buckets brands based on the agreed-upon criteria, automatically assigning them to prospect segments.

TaskHours
Build segmentation rules engine (revenue tiers, market share, ad spend)10
Implement 1P vs. 3P seller classification4
Prospect bucketing logic (auto-assign to campaign segments)6
Unit testing & validation against known brand examples4
Contact Enrichment
Weeks 4–5
22 hrs

Enrich segmented brand leads with real contact information for decision-makers at target companies.

TaskHours
Integrate enrichment API (Apollo.io or equivalent)8
LinkedIn data discovery & integration (if viable)6
Match enriched contacts to segmented brands4
Data quality checks & deduplication4
Campaign Triggers & CRM Integration
Weeks 5–6
22 hrs

Connect the segmented, enriched lead data to the outreach platform so campaigns fire automatically based on segment assignment.

TaskHours
Set up Go High Level (or chosen platform) integration8
Build campaign trigger logic (segment → campaign mapping)6
Template coordination with sales team2
End-to-end testing of segment → enrich → trigger flow6
Dashboard & Deployment
Weeks 6–7
22 hrs

Build an internal-facing dashboard deployed via Cloudflare Zero, giving the sales team real-time visibility into the pipeline and customizable "hit lists."

TaskHours
Dashboard design & layout (brand lists, segments, metrics)4
Build dashboard frontend (Python/Dash or D3)12
Cloudflare Zero deployment & domain configuration4
User access setup for internal team2
QA, Handoff & Documentation
Weeks 7–8
18 hrs

Final testing, documentation, and knowledge transfer to ensure the system runs reliably without ongoing intervention.

TaskHours
Full pipeline integration testing6
Bug fixes & refinements6
Documentation (system overview, runbooks, troubleshooting)4
Handoff walkthrough with Nick & team2

Investment Summary

PhaseDescriptionHours
1Discovery & Data Access21
2Data Ingestion Pipeline30
3Brand Segmentation Engine24
4Contact Enrichment22
5Campaign Triggers & CRM Integration22
6Dashboard & Deployment22
7QA, Handoff & Documentation18
Total Estimated Hours159
Rate$100/hr
Not-to-Exceed Total$15,900

Timeline

Estimated duration: 7–8 weeks

Phases overlap where possible. With ~40 hours available in Week 1, Phase 1 can be completed and Phase 2 can begin immediately. Final delivery targeted by mid-June 2026.

What I Need from Your Team

Email to Team

Estimated Platform & Software Costs

These are third-party costs separate from development fees. Final recommendations will come out of Phase 1 discovery.

PlatformEst. Monthly CostNotes
Smart Scout APITBDExisting subscription assumed
Apollo.io$0Existing base tier sufficient for integration
Go High Level$97–$297/moCampaign automation (Starter or Unlimited tier)
GitHub Actions$0Free tier sufficient for weekly runs
AI Agent Tokens$0Covered by Evans List — no cost to client

Payment Schedule

Billed hourly at $100/hr with a not-to-exceed cap of $15,900. If the project completes under the estimated hours, you pay less. Invoiced at each milestone — no payment is due until the corresponding deliverables are complete and reviewed.

MilestoneTriggerAmount
DepositProposal approval — kick off Phase 1$4,000
MidpointPhases 1–4 complete & reviewed$6,000
FinalDelivery, handoff & documentation complete$5,900
Not-to-Exceed Total$15,900

Ongoing Support

This proposal covers the initial build. After launch, I'm available for:

Ready to Move Forward?

If everything looks good, approve below and we'll kick off Phase 1 immediately. Have questions? Let's talk.

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