What our leads are actually telling us

Apr–May 2026 lead data from Supabase, my read on what we should keep doing, what we should drop, and how we should think about the rebrand.

55
Form submissions Apr–May 19
16
Real buyers (29%)
28
Junk: vendors, jobs, white-label
11
Tests we ran ourselves

The 60-second read

If I strip out tests, vendor pitches, white-label outsourcing shops, and job seekers, we got 16 real buyer leads in seven weeks. That's the real number. Anything I quote from a raw export is misleading because 28 of 55 submissions were people trying to sell us something or asking for a job, not asking to buy.

Three patterns jump out and they should drive every decision we make in the next 90 days:

  1. Ecommerce listings / product ops is our biggest gravity well. 6 of 16 real buyers (38%) came in for some form of "add or clean up products on Shopify/eBay/Amazon/Lightspeed." Crate & Barrel is in this bucket and is the largest opportunity in the dataset.
  2. Data cleansing / extraction is the second pull. 4 of 16 (25%) — OCR, dedupe, CRM scrub, HubSpot data entry. Tight scope, clear deliverable, easy to close.
  3. Accounting / bookkeeping is the third. 2 of 16 (13%) — recurring monthly work. Smaller deals but higher LTV.

That's 76% of real demand coming through three verticals. Everything else is one-off (one VA request, one HR exit-interview request from JK Lakshmi, one staffing scale-up from Revguard). The website currently advertises 50+ services across 22 industries. The mismatch between our surface and our demand is the rebrand story.

The one thing I want Chakshu to take away

We're not getting more leads by adding more services. We're getting more leads by narrowing what we put on the homepage to ecom ops, finance ops, and data cleansing, ranking harder for those three, and letting the long tail stay in the sitemap for SEO without taking up nav real estate. The rebrand is a positioning decision, not a logo decision.

What's in this document

Adi Aman · 2026-05-19 · Data source: Supabase acelerar_new.leads, all 55 submissions Apr 1–May 19. Classifications applied manually (see appendix in page 4).

April: 39 submissions, 11 real buyers

28% real-buyer rate. Most of the noise was vendor cold pitches and white-label outsourcers trying to subcontract from us.

39
Total submissions
11
Real buyers
18
Junk (vendor/job/spam)
10
Internal tests (mine)

April real buyers

DateLeadAskVerticalCame via
04-05Justice Rines · Rf-holding LLCCurate & add new productsEcomGoogle
04-06Jack Lane · Oak & Key RE BrokerageCRM + MLS outreach, 5 hrs/wkVADirect
04-07Steve Thomas · Golf HeadquartersShopify product CSV importEcomGoogle
04-08Shawn Coughlin · ShoreLine TradingeBay listings, paid test of 5EcomChatGPT
04-11Cameron Gold · Gold WingOCR 10K image files → 150–200K contactsDataChatGPT
04-13Logan Gross · RevguardScale to 100–200 employeesOutlierGoogle
04-14Evan Buhidar · Big Burro ConsultingBookkeeping for 170+ residential RE unitsAccountingBing
04-14Shikhar Johari · JK Lakshmi CementExit interviews for left employeesOutlierGoogle
04-16Jeremy Adan · BuildSiteMarketingCold callers for his prospect listDataBing
04-23Tim Onoff · NSIVerify/dedupe 2,000-row consultant DBDataDirect
04-30Robert Tuffin · LST Projects (UK)HubSpot data-entry assistant, UK hoursDataGoogle

April noise

BucketCountExamples
White-label outsourcers4 Neha/Datavance (PK), Kabir/BLK Labs (Africa dev shop), John/Transpace ($2/hr annotation), Gokila/GMine
Job seekers5 Mario Roper, Anurag, Vijay Singh, Nayana ("data entry par time jobs"), Kabiru Suleiman
Vendor cold pitches4 Sophie/Send Proud (outreach), Andrew/hi-reply (AI agents), Hannah Melotto (freelance writer), Ronald Hadley (AI SEO)
Spam / spoofed corp4 Brandon & Ruben Sink/Mendoza @ fake "corporate-lowes-plc.com", 2 gibberish bots
Duplicate1 Tim Onoff submitted twice (same person, 45 min apart)

Pipeline context

April was the first full month after I fixed the Resend → Outlook email pipeline (March 31). The 10 internal tests in April reflect that fix. Before that, lead emails were silently dropping — so any comparison to March is misleading. April is the real "baseline month."

May 1–19: 16 submissions, 5 real buyers

Smaller volume than April so far, but real-buyer share is 31% (up from 28%). And the May leads punch above their weight.

16
Total submissions
5
Real buyers
10
Junk
1
Internal test

May real buyers

DateLeadAskVerticalCame via
05-01Michael Williams · individualCPA, 2025 family tax returnsAccountingDirect
05-04Dave Knudtson · Dingo's Natural PetLightspeed → Shopify SKU migration + descriptionsEcomGoogle
05-10Philip Litt · Artimeus LLCAdd 500+ watches with photos & descriptionsEcomDirect
05-13Sabrina Schaefer · Crate & BarrelPDP copywriting at scale across CB + CB2, thousands of productsEcomGemini
05-15Courtney Yeager · United Way KVDonor pledge data entry, 10 hrs/wk Sep–Jan recurringDataGoogle

The Crate & Barrel inbound is the most important data point in this entire memo.

An enterprise ecommerce buyer found us via Gemini (Google's AI search) — not classic Google organic, not LinkedIn, not a referral. They asked for PDP copywriting at scale across thousands of products, which is exactly the kind of work we already do for smaller ecom clients but have never publicly positioned as a service.

Two things follow: (1) our BOFU content is being cited by LLMs even though we haven't explicitly optimized for it, and (2) there's enterprise demand for "ecom catalog ops at scale" that we have the capability for but no landing page for. Both findings should reshape how we think about content and positioning.

May noise

BucketCountExamples
Vendor cold pitches4 Ronald Hadley (2 follow-ups, same AI-SEO pitch), Susan/SL TECH (SEO fix), Aditi/Intrkt (AI calling), Lucas/Techhleads (data vendor)
White-label outsourcers2 Rajiv/Shivam Data Center (Nepal), Vigneshwaran (ambiguous "we are looking to outsource projects")
Job-seeker / sales rep2 Rajeswari (data entry from home), Michael Agunbiade (freelance sales role)
Spam bot1 Gibberish form fields
Duplicate1 Ronald Hadley counted once already, also submitted in April

What the 16 real buyers actually want

When I group every real buyer ask by what they actually need delivered, three categories cover 76% of demand.

6
Ecom listings & product ops
4
Data cleansing & extraction
2
Accounting & bookkeeping
4
Everything else (1 each)

1. Ecom listings & product ops · 38% of real demand

This is the gravity well. Six buyers across two months, asking for variations of the same thing: "please load, format, and clean up products in our store." The platforms vary (Shopify, eBay, Amazon, Lightspeed, Magento), the volume varies (5 listings to "thousands of PDPs"), but the work is the same — humans-in-the-loop catalog operations.

What I think: we should own this category publicly. We do the work, we have case studies (Geoff Hopkins / National Workwear's Shopify migration is on our site), and the demand is sitting there. Today our nav buries it under "E-commerce Outsourcing" with seven sub-services. I'd promote it to the top of the homepage.

2. Data cleansing & extraction · 25%

Tight scope, clear deliverable, easy to quote. Cameron Gold's 10K-image OCR is the headline — concrete unit count, concrete output format, explicit pricing question. Tim Onoff's 2,000-row consultant DB scrub is the same shape. Robert Tuffin and Courtney Yeager want recurring HubSpot/CRM data entry which is also this category.

What I think: we have service pages for data cleansing, data extraction, data conversion, data verification — five different pages on the same theme. We should consolidate them into one strong page that ranks well, with sub-sections for the specific deliverable types.

3. Accounting & bookkeeping · 13%

Two buyers, both recurring monthly work — Big Burro's real-estate bookkeeping and Michael Williams' CPA tax filing. Smaller deal sizes but higher retention.

What I think: our accounting pages should foreground the recurring/monthly model. Today they read like project pricing. The buyers in this bucket want a partner, not a vendor.

The outliers (4 leads, 1 each)

Logan Gross/Revguard (scaling 100–200 FTE — above ICP), Shikhar Johari/JK Lakshmi (Indian enterprise exit interviews — wrong geography), Jack Lane/Oak & Key (real-estate VA, 5 hrs/wk — too small), Jeremy Adan/BuildSiteMarketing (cold callers — a different service line).

What I think: outliers are not problems, they're noise that confirms the core. We don't optimize the site for any of them. If the rebrand narrows our nav to the three core verticals, these still find us through long-tail SEO pages and we close the ones that fit. Revguard might actually be a strong fit; we should follow up if we haven't.

How I classified each lead (for audit)

A submission counts as a real buyer only if all three are true:

  1. They have a concrete service request (a thing they need done).
  2. They are asking us to do work, not offering to do work for us.
  3. They are not asking for a job, not a freelancer selling themselves, not a vendor selling us a tool.

White-label outsourcers — Indian or Pakistani BPO shops saying "we are looking to outsource and collaborate" — count as junk. They look like buyers in raw exports; they're not. They want our work, not our service.

Where they're really finding us

Looking only at the 16 real buyers — not the noise — here's what referrers tell us about our discovery surface.

ChannelReal leadsNotable
Google organic7Justice, Steve, Logan, Shikhar, Robert, Dave, Courtney
Direct / no referrer4Jack, Tim, Michael Williams, Philip — could be typed, bookmarks, or LinkedIn mobile
ChatGPT2Shawn (eBay listings), Cameron (10K OCR)
Bing2Evan (bookkeeping), Jeremy (cold callers)
Gemini1Crate & Barrel

The LLM signal is real

Three of our 16 real leads (19%) came from AI search — ChatGPT or Gemini. That's not a fluke for the sample size. The Crate & Barrel lead is the most valuable in the dataset and it came from Gemini, which means our content is being cited as a recommendation. Today we have no AI-search strategy and no idea which of our pages are being cited.

What this means for our page strategy

Two things, both backed by data above:

(a) Google organic still dominates volume (44%) but the queries that bring real buyers are commercial-intent, not informational. Justice came in for "product curation," Robert for "HubSpot data entry assistant UK," Courtney for "donor pledge data entry." These are tight buying queries. The right surface for them is our service and integration pages — not blog posts.

(b) The four "Direct, no referrer" buyers are not actually direct. They came from somewhere we can't see — LinkedIn mobile in-app browser, Slack shares, bookmarks from prior visits, podcast bios. With UTM-tagged links (which we now have the tooling for — task #17 shipped May 15) we'd actually know.

What I know we're missing

None of these are big projects. The UTM tooling is already built. Adding share buttons is half a day. Updating LinkedIn bio fields is 15 minutes. The three new positioning pages are a 2-week content sprint with the writer skill we already have.

Pages and services I'd act on

Grounded in the lead data above — not in what's trendy in BPO marketing.

Pages we already have that are pulling — keep and reinforce

Based on the real-buyer asks, these existing pages are clearly doing work even if we can't measure conversion attribution per-page yet (we will, after task #18 deployed today):

Pages I'd create now — 3 priority builds

1 Ecommerce catalog operations at scale

Why: Crate & Barrel asked for "PDP copywriting at scale across thousands of products." We have the capability. We have no landing page for it. Enterprise ecom is a real category and we just got an unsolicited Crate & Barrel inbound for it.

Working URL: /ecommerce/catalog-operations-at-scale/ · Position it for ecom directors needing 1,000+ SKU updates. Reference our National Workwear Shopify migration as the case study. Page should mention Shopify, Amazon, eBay, Walmart, Rakuten — all the platforms our existing buyers came in asking about.

2 High-volume data extraction (OCR + structured output)

Why: Cameron Gold asked us to OCR 10,000 image files into a structured CSV. That's a clean, scoped, high-value engagement. We treated it as a one-off; it's actually a service category. There's a buyer for "I have N thousand images/PDFs/screenshots, I need them in a spreadsheet" — recurring across industries.

Working URL: /data-management/document-data-extraction/ · Frame it as "Send us your files, we send back the structured data." Include example formats (CSV, JSON, Excel). Mention HEIC/JPG/PDF/scanned docs. Specific volume tiers with starting prices.

3 Recurring bookkeeping for property managers

Why: Big Burro Consulting asked for monthly bookkeeping for "170+ residential real estate units." That's a vertical inside a vertical. Property managers and small landlords need monthly books, they're underserved by big BPO, and they're a repeat-buyer profile that retains.

Working URL: /accounting/property-management-bookkeeping/ · Position around the specific pain (rent roll, security deposit accounting, vacancy reporting, multi-property GL). The existing bookkeeping page is too generic.

Pages I'd quietly de-emphasize

Not delete — keeping for SEO long tail — but pull from main nav:

Services I'd add to the menu (because buyers asked)

None of these three replace the core three. They sit on the long-tail page list for SEO.

The rebrand, framed as a positioning decision

I want to disagree with the framing first, then propose a version of it I think we should do.

What I think a rebrand should NOT be

What I think a rebrand SHOULD be

A focus exercise, not a redesign. The data above says we have demand in three places — ecom ops, data ops, finance ops — and we're trying to be visible in 50. The rebrand is choosing what the homepage emphasizes, what the nav shows, and what we put on our LinkedIn header.

My proposed positioning

Acelerar runs the back office work that doesn't fit into software.

Three concrete categories: ecom catalog ops, finance ops, and data ops. Mid-market and SMB. Philippines-based, US-managed. Month-to-month. 7-day deploy.

That's the elevator. Everything else we offer stays on the site, ranks for long-tail queries, and gets surfaced when the buyer's specific search finds it. But the homepage, the LinkedIn header, the sales deck, and every paid ad lead with the three categories.

What changes in practice

  1. Homepage hero copy. Today it lists everything. New version: "Three back-office disciplines we obsess over: ecom catalog ops, finance ops, data ops." Plus the three category tiles with case study proof for each.
  2. Main nav. From "Services / Industries / Resources / Pricing / Contact" to "Ecom Ops / Finance Ops / Data Ops / Pricing / Resources / Contact." Industries dropdown collapses into a Resources sub-menu.
  3. Footer. Keep all 50 service pages linked from the footer for SEO. They're not gone, they're just not in the main nav.
  4. LinkedIn header image & profile. Same three-category framing.
  5. Sales deck cover. Same.
  6. "How we describe ourselves" snippet. Update the meta description across all pages so it reflects the new positioning. SEO impact: positive — narrower keyword set, higher relevance.

What we keep — the brand assets that already work

The single sentence I'd put on the rebrand brief

"Tighten Acelerar's positioning to three back-office disciplines (ecom, finance, data) where we already have repeat demand. Keep the name, mark, palette, and 50-page sitemap. Change the homepage, nav, and external bios. No logo work."

How I'd triple real-buyer leads in 90 days

From 8/month real buyers (our Apr–May run rate) to 24/month. Specific actions, ordered by effort vs return.

Weeks 1–2 — Fix attribution and discovery infrastructure

Most of this is already done as of today (May 19). What's left:

Weeks 3–6 — Ship the three positioning pages

All four use the acelerar-writer + acelerar-editor skills we already have. Expected: 4 weeks total, sequentially.

Weeks 7–10 — BOFU content sprint

Per Sam Dunning's playbook (the one Chakshu approved earlier). Ship 5 BOFU pieces aimed at the queries our real buyers used:

Each is a 2,500-word piece optimized for the AI-citation patterns that worked for Crate & Barrel. Each can ship in 2 days through our content pipeline.

Weeks 11–12 — Measure and iterate

What success looks like by August 31

24
Real buyers / month
<30%
Junk share of submissions
3+
LLM-cited inbound / month

The baseline (Apr–May 2026): 8 real buyers/month, 51% junk share, 1 LLM-attributed lead/month. The targets are 3x on the first metric, half on the second, 3x on the third. None require us to add headcount, change the logo, or change the company name. They require us to choose.

What I'm uncertain about

End of memo. · Data: Supabase acelerar_new.leads, 55 submissions Apr 1 – May 19, 2026. Classifications and recommendations are mine. Happy to walk through any section live.
— Adi