Miguel Maneira Book 30 min
Miguel Maneira
Miguel Maneira, smiling, arms crossed, black t-shirt
Growth Marketing Manager, for Amplemarket · Lisbon · remote, overlapping US mornings

I grow acquisition channels, then build the tools to scale them.

Ten years in marketing, six in paid acquisition. Now in iGaming, one of the most competitive and regulated ad markets there is. I optimize for customer value, not cheap clicks. When the tool I need doesn’t exist, I build it with AI.

Book 30 min My take on Amplemarket
$100k+ad spend I manage per month today, across five ad networks
4continents I run acquisition in today. Before that, Google Display in nearly every geo worldwide
8modules in TGstudio, the growth platform I built on my own: tracker, ads manager, creative studio, AI agents
6+Telegram communities I launched: an audience we own, not traffic we rent
01Amplemarket, from the outside

When buyers ask AI for an Apollo alternative, you’re missing from 17 of 20 answers.

  1. Today

    One of two products with all 8 core features, and the thinner proof of the two: 710 G2 reviews to lemlist’s 2,608. Apollo has 9,857.

  2. Day 90

    Fix the proof, not the product: comparison pages AI can quote, G2 reviews at nearly twice today’s pace, a place on 3 of the 4 independent “best tools” lists worth pitching, and inbound demos and qualified pipeline up on the day-30 baseline, at or under target CAC.

  3. Day 365

    Number one for teams replacing three to five tools with one: first named for an Apollo alternative, G2 reviews at three times today’s pace.

  4. Why me

    I manage $100k+ a month in paid acquisition today, and I build the tools I’d use here: TGstudio, the ad platform I built for my team, replaced two paid tools; the HQ, the AI agents behind my side project LUUKAT, runs its finance and reporting with human sign-off.

  5. The gap

    No B2B SaaS yet. What transfers: I’ve always been paid on what traffic is worth downstream, not on clicks, the way pipeline judges marketing. Days 1–30 are built to close it: your CRM, the pipeline scorecard, a seat on sales calls, and one shared pipeline number with your CRO.

Made for this application. Nine pieces of spec work for Amplemarket, made from public data; none of it has run. Read them in order, or start with the plan.

The film, 37 seconds. Monday, 8:59: twelve tabs become one. The brief, a proof-first V2 and the 9:16, Story and Reels cuts →

Start here

Diagnosis

What I’d build

How I work

02Selected work

Four problems. What I did, and what changed.

Irregular DigitalPhase 1 · CPA affiliate
Dec 2024–Jun 2026
4 continents, one testing method, decided on customer value
  1. Where tests were decided
  2. Sees the ad
  3. Becomes a lead
  4. Deposits, so it counts

Paid acquisition on four continents, judged on what the customer is worth

The traditional affiliate model: operators pay a CPA for each player who deposits. Mostly Meta Ads: the ad sends people to my landing page, and the landing page to the casino’s offer. I also tested Google Search, TikTok and Taboola. Across Europe, Canada, Australia, New Zealand and Latin America. Months of A/B tests on creatives, landing pages and offers, one variable at a time.

  • Top · sees the ad. Angles in batches: pain, proof, offer, curiosity, local culture, memes. Static beat video; volume beat polish. Broad targeting, so the creative did the targeting.
  • Middle · becomes a lead. Static page, playable demo or straight to the offer, split by weight in Voluum.
  • Bottom · becomes a player. A lead only counts if they deposit. Tests were decided on player value, not clicks or sign-ups, and who converted fed the next batch.
What I learnedVolume had a ceiling. After sign-up, player value depended on each operator’s CRM, good or bad, and operators pay for player quality, so cheap volume cut what they paid us. Memes brought the cheapest sign-ups and the weakest players. I cut them.

Judged on margin, not cost per registration: a test won only if the players it brought paid back what we spent on them.

Irregular DigitalPhase 2 · Telegram communities
Jun 2026–now
6+ communities we own on Telegram
Revenue per player
CPA affiliate
1×
Telegram communities
~1.5×

Built an audience we own instead of renting traffic

Operators kept paying less per player, and player value sat in their CRMs. So in June 2026 I started a second model: Telegram communities where we talk to players every day ourselves. Operators get fewer players, worth more. Around the communities: review websites that rank on Google with no ad spend, and influencer campaigns.

  • Five months in, revenue per player runs about 1.5× the CPA model’s. Too early to call lifetime value.
  • Runs on TGstudio, the platform I built (below).
  • One of them is Fora de Jogo, a football brand I built from zero: 5,745 members.
What transfers to B2BLead quality sets the price. Fewer, better players raised what operators pay us per player. In B2B, that’s the gap between an MQL and a lead Sales calls.
Irregular DigitalBuilt with Claude Code
In daily use
8 modules in one platform, built on my own
What it replaced
  • Voluum
  • n8n
  • Spreadsheets
TGstudio
  • Click tracker
  • Ads manager
  • Creative studio
  • Workflows + AI
  • AI agents
  • Bots and CRM

Built the growth platform we were renting

Our tracker and automation tool didn’t fit how we work. I built TGstudio on my own time and gave it to the company: a command center for paid acquisition and Telegram.

  • Acquire. Multi-network ads manager: one campaign launches to every network we buy on, with automated rules.
  • Measure. Click tracker at Voluum parity, server-to-server postbacks, multi-touch attribution.
  • Create. Creative canvas, social studio and an asset studio with a brand kit.
  • Automate. A 42-node workflow engine with Claude and OpenAI, and an AI quality gate before anything publishes. It replaced n8n.
  • Delegate. AI agents with roles that propose work and wait for approval, with an audit trail.
  • Run. 6+ Telegram channels, bots, CRM and moderation, with a control room for cost and uptime.
Why it matters hereI don’t wait on engineering for growth infrastructure. And before marketing I sold B2B at BF Grupo: I know what a seller needs from a lead.
MobWizardsMobile VAS
2023–2024
$100k+ a month in Google Display alone, nearly every geo worldwide

Ran Google Display worldwide, and opened a market the team wouldn’t test

Campaigns in nearly every geo in the world. The team stayed on proven ones; the Middle East was a market the company had never explored, so I pushed to test it, set it up and made it work.

  • Daily close by country and client; funnel and placement analysis.
  • Designed banners and landing pages myself to test faster.
03How I work

How I think. Four areas, and the tools in each.

  1. Paid campaigns

    I judge campaigns on what the customer is worth, because clicks are cheap to buy and say little about revenue.

    1. Define the conversion that pays. In iGaming that’s a deposit, not a sign-up; here it’s a qualified opportunity, not a demo request.
    2. Broad targeting, so the creative does the targeting. Angles go out in batches and the algorithm finds who answers.
    3. One variable at a time: weighted splits in Voluum across landing page, offer and creative.
    4. Daily close by country and client. Cut what doesn’t pay back, even the cheapest: memes brought the cheapest sign-ups and the weakest players.
    5. Test where the team won’t. At MobWizards I opened the Middle East, a market the company had never explored.
    MetaGoogleTikTokTelegram AdsTaboolaPropellerAdsVoluumPostHogGoogle Sheets

    Four continents, one method · Worldwide on Google · The full playbook

  2. Creative

    Volume of angles beats polish. In my tests, static beat video.

    1. Read what’s already running before making anything: Tyver for ad research.
    2. Write angles first: pain, proof, offer, curiosity, local culture. Each batch tests one angle.
    3. Produce with AI, so testing never waits on a designer.
    4. Banners and landing pages I design myself.
    TyverNano BananaSeedanceKlingHiggsfieldChatGPT

    Spec ads for Amplemarket

  3. SEO and AEO

    AI answers quote other people’s pages. Get onto the pages the models read, not only your own.

    1. Measure share of answer (how often AI answers name you) in real sessions: buyer prompts in ChatGPT and Perplexity, logged out, three runs each, raw data kept.
    2. Find the sources the answers cite (roundups, Reddit, comparison pages) and work those.
    3. Write pages to be quoted: one claim per row, each with its source.
    4. Technical base first: schema, llms.txt, sitemap, robots, crawlable pages. On LUUKAT and on this page.
    ChatGPTPerplexity

    The audit · A comparison page, drafted

  4. AI

    When the tool I need doesn’t exist, I build it. AI does the work; a person signs off.

    1. Build with Claude Code: TGstudio puts tracker, ads manager, creative studio and AI agents in one platform, and replaced Voluum and n8n.
    2. AI as a step in the workflow: TGstudio’s workflow engine has AI nodes.
    3. Agents with permissions and hand-offs: the HQ runs finance models, reporting and operations, with human approval where it matters.
    4. Research at speed: twelve vendors measured on the same day, every measure linked to its raw file.
    Claude Code

    TGstudio · The HQ · The market map

ResendCloudflare SPF, DKIM and DMARC set up for LUUKAT’s sending domain. And not yet: a CRM in production. Learning yours is days 1–30 work.

04Building

Nights and weekends. My lab.

AI life agent · pre-launch

LUUKAT ↗

A personal AI for money, shopping, shared expenses and training. I own the go-to-market.

  • Positioning, messaging and the landing page
  • Waitlist funnel instrumented end to end in PostHog
  • €15 target per sign-up, payback within 12 months
  • Technical SEO: sitemap, robots, crawlable pages
AI agents running company functions

The HQ

The operating system behind LUUKAT: agents that run finance models, reporting and operations, with human approval where it matters.

  • Designed the agents, permissions and hand-offs
  • Shipped with Claude Code: CI, tests, production deploys
  • Taught me what AI can own in a marketing team, and what it can’t

No traction numbers on purpose: LUUKAT hasn’t launched. What it shows is how I position, instrument and model a product from zero. If I join, Amplemarket gets my full working week; this stays the lab, and what works here comes to the job.

05Experience

Field, sales, social, product, paid. The whole funnel, from both sides.

  1. Dec 2024 – now

    Irregular DigitalDigital Campaign Manager

    iGaming affiliate acquisition across Europe, Canada, Australia, New Zealand and Latin America. Phase 1, the CPA model: mostly Meta Ads, from the ad to my landing page to the casino’s offer, plus tests on Google Search, TikTok and Taboola. Phase 2, since June 2026: Telegram communities we own, SEO review websites and influencer campaigns, with fewer players and about 1.5× the revenue per player. $100k+/month across Meta, TikTok, Google, Telegram Ads and native networks. Reporting, market analysis, client strategy, international conferences (SiGMA, iGB, SBC).

  2. Apr 2023 – Nov 2024

    MobWizardsGoogle Campaign Manager

    Mobile VAS. Google Ads Display in nearly every geo worldwide; opened the Middle East. Funnel, placement and KPI analysis; banners and landing pages.

  3. Jun 2020 – Apr 2023

    Wize MediaDigital Marketing Specialist

    10+ SMB clients. Google Ads (Search, Display, YouTube), Meta lead generation, social media and email. Filled an adventure-tourism client’s calendar two years out.

  4. 2021 – 2023

    AirbnbCommunity Ambassador → Resolution Specialist → Decision Support Manager

    Two promotions in 17 months, alongside Wize Media. Trust, conflict resolution, and user friction seen up close.

2016 – 2021
  • Tejobrinde, Junior Product Manager. Customer journey, positioning, segmentation, brand activations.
  • Brandkey, Social Media Manager. Nestlé Ice Cream and Maxibom: copy, concepts, performance reports.
  • BF Grupo, Commercial Manager. B2B client portfolio, negotiation, team coordination.

Education

MSc Digital Marketing
BA Marketing, Advertising & PR
Universidade Europeia

Languages

Portuguese, native
English, full professional
Spanish, working