Case Study · Performance marketing & automation
Caffe Tamati
Meirav Peretz

"Knightica took over our marketing and finally gave us numbers we can trust, not the inflated ones the ad platforms report. Since they started, our revenue has nearly doubled and new customers keep coming in. They even automated our hiring leads so nothing slips through. Sharp, honest, and a real pleasure to work with."

Meirav Peretz · Founder
★★★★★
01 / The Client

Client snapshot

Caffe Tamati is an Israeli coffee brand selling through its own online store, with a loyal base of returning customers and new ones arriving every month. The product earns its fans; the store keeps them stocked.

Industry
Coffee & e-commerce
Channel
Online store
Platform
WooCommerce
Marketing
Meta ads
Market
Israel
Caffe Tamati coffee
02 / The Problem

Ads flying blind on inflated numbers

5x
more purchases claimed by Meta than the store's own books could verify.
3x
the real revenue reported by the ad platform, with no mature analytics to call the bluff.

Inflated reporting

The ad platform graded its own homework, claiming multiples of the purchases and revenue the books showed.

Fragmented tracking

UTM tagging split across four campaign-name variants, one of them an unresolved template placeholder.

Stranded applicants

Hiring leads from the employment campaign had no pipeline at all: 120+ piled up unusable.

No source of truth

Decisions ran on the platform's claims instead of the store's books, with no way to check which was real.

03 / Process & Build
Discovery & Build
Month 1

Measurement foundation

Wired GA4, GTM, the WooCommerce API and the Meta Marketing API together, so the store's own books became the source of truth.

Month 2

Account restructure

Cleaned the fragmented UTM scheme and rebuilt the Meta account around retention, broad, lookalike, traffic and lead-gen campaigns.

Month 3

Hiring pipeline

Built the leads-sync automation: every ten minutes new applicants pull from the Meta lead form into a deduped, self-backfilling Google Sheet.

Rollout
Month 4

Campaigns live

The new campaign structure goes live, reported monthly on MER, store revenue over ad spend, instead of the platform's inflated ROAS.

Month 4

Backfill run

The hiring automation backfills every stranded applicant, 120+ of them, on its very first run.

Month 4

Reporting they trust

Monthly reports verified against the books, so the owner finally reads numbers that mean what they say.

04 / Selected Workflows
GA4 GTM Meta API
System 01 · Wave 1

Measurement & Ads Engine

  • GA4, GTM, the WooCommerce API and the Meta Marketing API wired into one source of truth
  • Full Meta account management: retention, broad, lookalike, traffic and lead-gen
  • Monthly reporting on MER, store revenue over ad spend, not platform ROAS
  • One clean UTM scheme replacing four fragmented naming variants
Meta Lead Ads Google Sheets
System 02 · Wave 2

Hiring Leads Pipeline

  • Pulls new applicants from the Meta lead form every ten minutes
  • Writes to a Google Sheet the team actually uses, deduped and self-backfilling
  • Backfilled 120+ stranded applicants on its first run
  • New applicants land in the live sheet within minutes, at about ₪10 each
05 / Impact by the Numbers
2x
Store revenue after the campaigns launched, verified against the store's own books
6x
Blended net return on ad spend, measured as MER, not platform claims
+53%
New customers window on window, on reporting the owner can trust
~₪10
Per hiring applicant, delivered to a live sheet within minutes