Niche
Movers (local services)
Indianapolis + Bloomington IN. Residential, long-distance, storage. 40+ years combined experience, 30,000 moves completed.
Recommendation: GOPASS. Movers / local services is on OpenAI's allowed vertical list.
4/4 ICP fit. Soft Touch's stated ICP is "higher-end homes needing packing + moving. Long-distance moves for max revenue. Wants more Indianapolis and Bloomington local jobs (currently getting too many low-budget enquiries who can't afford movers)." This is a textbook OpenAI Ads opportunity - the channel filters for higher-intent, research-stage buyers who self-qualify before clicking, which directly addresses the stated lead-quality problem.
| Check | Result | Note |
|---|---|---|
| OAIQ SDK installed | FAIL | Not installed. |
| Page loads under 2.5s LCP | VERIFY | WordPress on Hostinger - generally fast. Verify with PageSpeed. |
| Form / phone CTA above the fold | PASS | "Get Your Free Moving Estimate Today" hero with "Free Quote" button. Phone numbers visible (Indy 317-284-1900 + Bloomington 812-333-4755). |
| Trust signals | PASS | BBB A+, Angie's Super Service Award badge, "Over 30,000 moves completed", "40+ years combined experience", named-client testimonials, "Licensed & insured", family-owned framing. |
3-4/4 landing page score. Strong trust stack and above-fold conversion. OAIQ install is the only definite fail.
Inputs: $5,000 monthly budget, 8% form-fill rate, 25% close rate, $2,500 average ticket (Midwest mid-range, lifted by long-distance + storage attaches), 35% gross margin.
| Scenario | CPC | Clicks | Leads | CPL | Customers | CAC | Gross profit | Net ROI |
|---|---|---|---|---|---|---|---|---|
| Best case | $3.00 | 1,667 | 133 | $37.50 | 33 | $150 | $28,875 | 4.78x |
| Mid case | $4.00 | 1,250 | 100 | $50.00 | 25 | $200 | $21,875 | 3.38x |
| Worst case | $5.00 | 1,000 | 80 | $62.50 | 20 | $250 | $17,500 | 2.50x |
Break-even CPL: $219 (need ~5.7 customers/month). Worst-case CPL is $62.50, well under.
Per OO internal categorisation, Soft Touch is a Tier-1 ad-funder along with Elite Movers. This means John has the budget appetite and the strategic posture to fund ChatGPT ads as a pilot channel. Combined with the stated lead-quality problem and the worst-of-9 organic position, this is the strongest mover candidate to use as OO's first paid Model B retainer when waitlist clears.
Reasoning: 4/4 ICP fit, 3-4/4 LP score, worst-case ROI of 2.50x. Stated lead-quality problem (too many low-budget enquiries) is exactly what ad targeting filters for. Weak organic position + Tier-1 ad budget appetite = ADS-FIRST scenario from the decision matrix is the right play. Strong trust stack (BBB A+, 30k moves, 40+ years) reads well to ChatGPT-research-stage buyers.
Conditions: install OAIQ SDK; build separate prompt clusters for Indianapolis vs Bloomington (different markets); lead with "no junk leads, only quality jobs" creative angle directly answering John's stated pain; track close-rate-by-ticket-size carefully in first 30 days to validate the lead-quality filter is working.