Club Esperanza: Meta Ads, WhatsApp, n8n and Clara

The client

Club Esperanza needed to generate registrations for an in-person event through a lead-capture campaign. I ran the full campaign in Meta Ads Manager (Facebook + Instagram): video creative production, audience targeting, Meta Pixel + Conversions API, and ongoing optimization. The main call to action on the ads is a free assessment form, and the event itself takes place on September 29–30, 2026.

The challenge

Before this engagement, the account had no way of knowing which specific ad generated each lead — only aggregate numbers inside Meta Ads Manager were visible. In addition, any change to a live ad with real spend risks resetting its learning phase inside Meta's algorithm, so every adjustment had to be evaluated carefully before applying it.

WhatsApp automation with Clara and n8n

Published Meta app with an approved review: WhatsApp messaging, WhatsApp management and public profile permissions were confirmed as approved, alongside the Embedded Signup configuration used by the coexistence assistant. Each future customer still requires individual assessment and authorization.

The project now includes a WhatsApp assistant connected through n8n and an administrative control to pause or enable automatic replies without disconnecting WhatsApp.

Public view based on the active n8n workflow. It shows the real decisions and connections while omitting credentials, phone numbers, internal identifiers and private addresses.

Operational control: the workflow checks the saved state before responding. Pausing does not cancel replies already in progress.
Message handling: deduplication by WhatsApp message ID and up to three configured attempts at the model node.
Lead filtering: the workflow checks advertising origin before registering a lead, separating manual conversations from ad-driven contacts.
Full-stack implementation: a Next.js panel, MongoDB persistence and n8n integration.

Implementation and test evidence

These are real frames from the recordings prepared for Meta testing and review. Phone numbers, conversations, identifiers and private technical data were hidden before publication.

Complete Meta review approvedThe request was approved for whatsapp_business_messaging, whatsapp_business_management and public_profile; the App is also shown as published.

Sanitized view of the Club Esperanza Messaging App configured in Meta Business — **Meta App configured**The messaging App and its access levels were organized in Meta Business; private identifiers and names are hidden.

Successful Club Esperanza messaging workflow execution in n8n — **Successful n8n execution**The messaging path finishes correctly and uses the official WhatsApp reply node.

Sanitized evidence of a Meta-confirmed WhatsApp test message — **Message test completed**Meta confirmed delivery to the authorized number and recorded the webhook events.

Sanitized evidence for the WhatsApp Business Management permission review — **Management permission review**The demonstration explains the use of `whatsapp_business_management` and documents the test call.

Verified outcome: the app is published and Meta approved whatsapp_business_messaging, whatsapp_business_management and public_profile. Original recordings remain private because they contain third-party information.

The implementation was delivered operational and the Meta app passed review. The September 30, 2026 technical audit verified publication, permissions and the active workflow; it did not repeat onboarding or send real messages. No unmeasured business results are attributed to Clara.

What was done

Video creatives: ad production in video format for Facebook and Instagram, adapted to each campaign objective (traffic and lead generation).
Targeting and A/B testing: two variants of the same lead ad tested against each other to decide with data which one to scale.
Meta Pixel + Conversions API: redundant browser-side and server-side measurement so conversion events don't depend solely on the client-side pixel.
Active campaign management: creating, duplicating, and pausing ads while evaluating in each case the impact on Meta's learning phase and the budget already spent.
Budget consolidation: pausing an ad within a shared ad set automatically reallocates the budget to the rest, with no need to manually reconfigure amounts.
Destination URL verification: character-by-character review of tracking URLs before pausing any live ad with real spend, to avoid losing attribution data.
Custom results panel: an application built in Next.js and deployed on Vercel to consolidate and visualize campaign performance.
Automatic syncing: a Vercel cron job syncs Meta Ads Insights data into the panel every day.
Per-lead attribution: a custom API route captures each visitor's fbclid (Facebook click identifier) and redirects them to the registration form, linking each individual lead — not just the aggregate count — to the exact ad that generated it.

Complete project evolution

Advertising strategy and production: objectives, video creative, targeting, A/B testing and daily Meta Ads budget management.
Measurement and attribution: Meta Pixel, Conversions API, destination-link verification and lead tracking from advertising references.
Control panel: full-stack Next.js and MongoDB development, Meta Ads Insights synchronization, metrics and lead administration.
Official WhatsApp infrastructure: Meta assets, a published messaging app and approved messaging, management and public-profile permissions.
Coexistence: Embedded Signup configuration and testing to use WhatsApp Business alongside Cloud API within Club Esperanza's approved scope.
Clara and n8n: webhook connection, message extraction, conversational memory, AI replies, deduplication and retries for temporary failures.
Control and lead quality: an administrative pause switch and an ad-origin filter before a contact is registered as a lead.
Documentation and reuse: operational guidance, known limits and a checklist for future client-specific implementations.

Aggregate campaign results

Real data pulled directly from Meta Ads Manager and the custom attribution panel, cumulative as of September 22, 2026. These are historical acquisition figures ahead of the September 29–30 event, not current totals or the final event report.

€521.03

Total spend

135,486

Total impressions

≈ 87,500

Total reach (people)

14,463

Total link clicks

≈ 12.2%

Weighted average CTR

The 3 ads, compared

Spend was split between a traffic ad driving to the landing page and two variants of a lead generation ad, tested against each other.

Results by ad, cumulative through September 22, 2026
Ad	Objective	Results	Cost / result	Spend	Impressions	Reach	CPM	Clicks	CTR	CPC
F1 – Ad AActive	Traffic / landing page visits	12,239 visits	€0.02	€261.84	121,589	76,442	€2.15	13,401	12.04%	€0.02
F1C – Ad A (subtitled V2)Active, scaled	Leads	7 leads	€31.24	€218.76	8,300	6,161	€26.36	736	13.12%	€0.20
F1C – Ad A (original)Paused	Leads	1 lead	€40.43	€40.43	5,597	4,901	€7.22	326	9.52%	€0.08

Learnings

The traffic ad (F1) achieved a CPC of just €0.02 and a 12.04% CTR, well above the industry average for this type of campaign. Comparing the two lead-generation creatives, the subtitled version (V2) improved CTR over the original (13.12% vs. 9.52%) and lowered CPM, which is why the original ad was paused and the subtitled version scaled instead.

Final registrations and cost per registration require a post-event report. Those metrics have not been updated as part of this technical review.

Why per-lead attribution matters

Most agency dashboards stop at the aggregate metrics Meta Ads Manager provides: impressions, clicks, spend. Club Esperanza's panel goes one step further — every individual lead is linked to the exact ad that generated it via fbclid, making it possible to decide with real data which ads to duplicate, pause, or scale instead of relying only on account-wide averages.

Club Esperanza: from Meta Ads to Clara on WhatsApp