The MarketerTools Blog

Marketing that actually works.

No listicles. No fluff. Practitioner-written guides on campaign tracking, paid search, ASO, and performance marketing — with the citations to back them up.

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Email Marketing11 min readJul 23, 2026

How to Set Up a Custom Signature in Gmail: The Complete 2026 Guide

Step-by-step instructions for creating and installing a custom email signature in Gmail — desktop and mobile, with photos, logos, social links, and HTML formatting, plus the fixes for every common signature bug.

Data & Analytics18 min readJul 1, 2026

Meta Conversions API (CAPI): The Complete Implementation Guide for Performance Marketers

Tracking is leaking. Meta's Pixel misses up to 40% of conversions due to iOS 14.5, ad blockers, and cookie death. Here's how Meta CAPI fixes it — and what you must get right to see the impact.

App Marketing22 min readJun 29, 2026

Google App Campaigns (UAC) Playbook: The Expert Framework for Scaling Past Installs in 2026

Most UAC campaigns optimise for installs and wonder why LTV is terrible. This is the complete expert framework: the install trap, bid cap testing, deep funnel event configuration, creative rotation at scale, and Firebase audience engineering.

Campaign Tracking16 min readJun 28, 2026

Campaign Naming Conventions: The System That Keeps Multi-Channel Attribution from Falling Apart

A practical framework for naming campaigns, ad sets, and ads across Google Ads, Meta, TikTok, and LinkedIn — so your data is clean, your team is aligned, and your reports actually mean something.

Paid Search20 min readJun 28, 2026

Google Ads Match Types in 2026: What You Learned in 2019 Is Now Wrong

Google quietly rewired how match types work in 2021 and again in 2023. Here's what actually changed, what it means for your campaigns, and the mental model that holds up regardless of which update comes next.

Data & Analytics18 min readJun 28, 2026

Marketing Attribution Models: Which One to Use and Why It Matters More Than Your ROAS

Last-click attribution makes you cut channels that are actually working. This guide explains every attribution model, when each is appropriate, and how to build a measurement framework that doesn't systematically lie to you.