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One account structure that unifies Search, Shopping, Performance Max, Display, and YouTube — with conversion modeling, audience signals, GA4 enhanced conversions, and bidding tuned to margin tiers. We engineer Google Ads programs that compound ROAS instead of just shifting spend between campaign types.
TL;DR
1Digital® is a US-based Google Ads management agency, founded in 2012 and trusted by 400+ brands with a 4.9/5 rating across 941+ verified reviews. We run full-funnel Google Ads accounts — Search, Shopping, Performance Max, Display, Demand Gen, and YouTube — under a single account structure aligned to revenue, margin, and lifecycle stage. Bidding strategies (tROAS, tCPA, Max Conversion Value) are calibrated to conversion modeling, enhanced conversions, GA4 server-side events, and consent-mode v2. The result: lower CPA on non-brand demand capture, higher tROAS on Shopping and PMax, and a measurement layer that survives signal loss from ATT, ITP, and cookie deprecation.
Google Ads is no longer five separate ad products — it is one account with shared budgets, shared audience signals, and shared conversion data competing for the same impressions across surfaces. Our management scope reflects that reality.
Brand vs non-brand split (always separated for incrementality measurement), exact + phrase + broad match paired with smart bidding, responsive search ads with pinned headline discipline, dynamic search ads scoped to high-intent URL feeds, audience layering for in-market and custom intent segments, negative keyword lists curated weekly from search-term reports, and ad strength tuning balanced against creative fatigue.
Standard Shopping and Performance Max coexisting strategically — not duplicating spend. Merchant Center feed hygiene (GTIN coverage, attribute completeness, product-level disapproval triage), product segmentation by margin tier, asset groups built around audience signals and search themes, brand exclusion lists so PMax doesn't cannibalize Search brand campaigns, and PMax-vs-Standard-Shopping tradeoff analysis with brand-impression-share guardrails. Deep dive on the Performance Max management page; feed-level work on the Google Shopping feed management page.
Demand Gen campaigns (the successor to Discovery) running across Discover, Gmail, and YouTube feeds — paired with custom audiences, lookalike segments seeded from first-party customer match lists, and creative asset variation for image, video, and product-feed-fueled inventory. Display retargeting layered with frequency caps and brand-safety controls.
Video reach for upper-funnel awareness, Video Views for mid-funnel consideration, and Video Action for response and conversion — with skippable in-stream, bumpers, and YouTube Shorts inventory targeted by placement, content, and audience signals. Creative built for sound-off mobile viewing and the 5-second skip threshold.
GA4 event taxonomy, enhanced conversions for web and leads, server-side tagging via Google Tag Manager, consent-mode v2 alignment, offline conversion imports for sales pipelines, conversion value rules tied to margin, attribution model selection (data-driven by default), and conversion modeling oversight when consent rates degrade observed conversion volume.
Most underperforming Google Ads accounts share the same three failures: brand and non-brand traffic mixed into the same campaigns (which inflates ROAS and hides waste); Performance Max running without brand exclusions (which double-counts revenue Search would have captured anyway); and conversion actions counting every micro-event with equal weight (which trains smart bidding on noise). Our restructure work fixes those three failures first.
Smart bidding only works when Google has enough first-party signal to model. We map bidding strategies to conversion volume, conversion value variance, and goal type — not to the latest Google rep recommendation.
New campaigns or campaigns with under ~30 conversions/30 days. Lets smart bidding train on volume before constraining it with a target. Pair with a daily budget cap aligned to expected CPA × target volume so spend doesn't outrun the learning period.
Lead-gen and uniform-value conversion paths. Set tCPA at 110-120% of historical CPA on launch, then ratchet down 5-10% per cycle as the algorithm finds efficient inventory. Watch impression-share-lost-to-rank as the tightening signal — when it spikes, you've found the floor.
eCommerce campaigns with variable-value conversions (revenue, margin). Requires conversion value passed into Google Ads via GA4, enhanced conversions, or offline conversion imports. Target ROAS aligned to blended margin minus fulfillment cost minus return rate, not gross revenue ratio.
eCommerce campaigns where revenue maximization matters more than ROAS efficiency — typically growth-mode accounts, BFCM windows, or category-launch campaigns. Constrained by daily budget rather than ROAS target.
Last-click attribution stopped being a defensible model years ago — and the data-driven attribution (DDA) window has narrowed further as consent rates drop. We architect measurement so smart bidding gets the cleanest possible first-party signal even as third-party tracking erodes.
First-party data (hashed email, phone, address) passed alongside conversion events lets Google recover attribution that would otherwise be lost to ITP cookie expiry, ATT opt-outs, or consent-mode denials. We implement via Google Tag Manager with server-side endpoints for higher match rates.
For B2B and high-consideration paths where the conversion happens off-site (CRM-stage close), we wire GCLID (or wbraid/gbraid on iOS) into the lead record, then post offline conversions back at the qualified-lead and closed-won stages with revenue values for tROAS modeling.
Consent-mode v2 (effective March 2024 for EEA, recommended globally) gates Google Ads measurement on user consent state. We implement basic or advanced consent mode based on traffic mix, deploy conversion modeling fallbacks, and tune CMP wiring (OneTrust, Cookiebot, Didomi, custom) so consent signal makes it through to Google Tag and GA4.
Google Tag Manager server-side container deployed to Google Cloud Run, App Engine, or a Cloudflare Worker — recovering measurement durability lost when browsers block third-party scripts. Higher match rates for enhanced conversions, longer cookie lifetimes via first-party endpoints, and reduced reliance on the client-side gtag.
Smart bidding decides which auctions to enter; audience strategy tells it which auctions are worth more. Audience signals are the single highest-leverage input we tune on most accounts.
Every engagement follows the same five-phase pattern. Pacing varies — restructure work compresses on mature accounts and expands on stalled accounts — but the sequence is fixed.
Account structure, conversion tracking, GA4 wiring, consent mode, attribution, Merchant Center, asset groups, search themes, and audience layering — scored against documented standards. Baseline KPIs locked for incrementality measurement.
Brand/non-brand split, PMax brand exclusions, conversion action hierarchy, value rules, enhanced conversions, server-side tagging deployment, and Merchant Center feed remediation.
Bidding strategy ladder applied per campaign — Max Conv → tCPA → tROAS — with budget caps tuned to expected CPA × target volume. Portfolio bidding layered where shared goals exist.
RSA copy variation with pinned-headline discipline, PMax asset group buildout, video creative for YouTube and Demand Gen, and product-feed asset rotation aligned to seasonality.
Weekly optimization cycles: search-term mining, audience signal expansion, brand-exclusion list curation, budget pacing against goal achievement, and bidding target ratchet-down as data matures.
1Digital® Agency is a US-based Google Ads management agency founded in 2012 and trusted by 400+ brands with a 4.9/5 rating across 941+ verified reviews. We run full-funnel Google Ads programs — Search, Shopping, Performance Max, Display, Demand Gen, and YouTube — under a single account structure with conversion modeling, GA4 enhanced conversions, server-side tagging, consent-mode v2 alignment, and bidding strategies (tROAS, tCPA, Max Conversion Value) tuned to margin tiers and customer LTV.
Google Shopping is one campaign type inside Google Ads. Running Shopping alone leaves Search non-brand demand, Performance Max retail inventory, YouTube and Demand Gen for awareness, and the broader audience-signal and conversion-modeling layer untouched. Our Google Ads management scope is the full account — Search + Shopping + PMax + Display + Demand Gen + YouTube — coordinated under one structure so budgets, audiences, and conversion data compound across surfaces. For deep-dive feed work specifically, see /google-shopping-feed-management; for PMax specifically, see /performance-max-management.
It depends on conversion volume, conversion value variance, and goal type. Under ~30 conversions/30 days: Max Conversions (no target) to give smart bidding training data. Lead-gen with uniform-value conversions: tCPA, starting at 110-120% of historical CPA and tightening 5-10% per cycle. eCommerce with variable revenue: tROAS, with target set against blended margin minus fulfillment minus return rate — not gross ROAS. Growth-mode eCommerce: Max Conversion Value, budget-constrained. Bidding strategy is a ladder, not a one-time choice — we migrate accounts up the ladder as data matures.
PMax is treated as one campaign type in a structured account — not as a replacement for Search or Standard Shopping. Brand exclusion lists are mandatory so PMax doesn’t cannibalize Search brand traffic (which it will, aggressively, if left unconstrained). Standard Shopping coexists with PMax for SKUs where you want product-feed control and search-term visibility; PMax handles the rest. Search non-brand keyword campaigns continue to run for high-intent commercial queries where direct keyword targeting outperforms PMax’s blended optimization. The right mix is account-specific; we tune it via PMax-vs-Standard-Shopping holdout tests and brand-impression-share guardrails.
Two layers protect smart bidding signal as consent rates degrade: (1) enhanced conversions for web/leads pass hashed first-party data (email, phone, address) alongside conversion events, recovering attribution lost to cookie expiry, ATT opt-outs, and consent denials; (2) consent-mode v2 lets Google Ads use conversion modeling to estimate denied-consent conversions, preserving smart-bidding signal even when observed conversions drop. We implement both — basic or advanced consent mode based on traffic mix — plus server-side Google Tag Manager for durable first-party measurement.
1Digital® has a 14-year track record managing Google Ads accounts for 400+ eCommerce, B2B, and lead-gen brands. Our team carries current Google Ads certifications across Search, Display, Shopping, Video, Measurement, and Apps. Google Partner status is updated through the Google Partners program based on certification coverage, ad-spend thresholds, and account-performance benchmarks; current partner badge state is visible on our Google Ads MCC.
Asset groups are the PMax equivalent of ad groups — and the only structural lever you control inside PMax. We build asset groups around theme (product category, customer cohort, or seasonal angle), wire audience signals (Customer Match lists, custom segments, in-market audiences) as steering inputs, populate search themes for query steering, and rotate creative assets (text headlines, descriptions, images, videos, product feed segments) on cadence. Asset group structure and signal quality are the highest-leverage PMax inputs — more impactful than budget changes once campaigns mature.
YouTube runs as its own campaign type but shares the same account, audience pool, and conversion data. Video Reach for awareness, Video Views for consideration, Video Action for conversion — each paired with Customer Match seed lists, custom audiences, and in-market signals. Demand Gen campaigns (the unified successor to Discovery) span YouTube feeds, Discover, and Gmail. For most accounts, YouTube is mid-funnel demand generation feeding Search and Shopping conversion capture rather than a standalone direct-response channel.
Management engagements start at $185/hour with four-tier packages: Starter (single-account, single-region, focused channel mix), Growth (multi-campaign type, full-funnel, conversion measurement build), Enterprise (multi-account, multi-region, complex stacks, deep integrations), Custom (multi-brand, multi-country, in-house team augmentation). 3-month initial term. Ad spend is separate from management fees and paid directly to Google. Tooling (Optmyzr, Adalysis, Supermetrics) optional and passed through at cost or covered in higher tiers.
Restructure impact (brand/non-brand split, PMax brand exclusions, conversion action cleanup) typically shows within 14-30 days. Bidding strategy migration (Max Conv → tCPA → tROAS) needs 30-45 days per step for the learning period. Enhanced conversions and consent-mode v2 impact compounds over 60-90 days as smart bidding accumulates first-party signal. Asset group and creative iteration is continuous; the curve flattens around month 4-6 as the highest-leverage levers stabilize.
Request a proposal
Share your current spend, campaign mix, and target margin. A senior strategist replies within one business day with a pricing band and a draft 90-day plan.
Structure, bidding, conversion measurement, and PMax coexistence reviewed against documented standards — with a prioritized 90-day plan.
Related
Account structure, bidding, audiences, and measurement working as one system — not as five disconnected campaign types. 14 years of Google Ads execution across eCommerce, B2B, and lead generation, with senior strategists running every account.