Video summary

How To Expand To Google Ads from Meta Ads (or other platform)

Main summary

Key takeaways

Business

Business goal: expand from Meta (or similar) to Google Ads

  • Rationale: diversify paid acquisition channels to improve reach, conversion efficiency, and risk management.
  • Core thesis: prove profitability on the current platform first (Meta), then reinvest into Google Ads.

Why diversify ad platforms (business execution rationale)

  • Higher impression frequency → better conversion

    • Focus metric: impression frequency in a short time window (described as “3 times within 24 hours”).
    • Google Ads expands where you can show ads: Search, YouTube, Display, Gmail, etc. (not just Search), enabling tighter frequency and more exposure.

  • Access audiences you don’t currently reach

    • Not all prospects use Facebook/Instagram frequently; some are more on YouTube / other Google surfaces.

  • Different funnel/mindset advantages

    • Google Search / Shopping can capture users with active intent (bottom-of-funnel), often leading to easier conversions.
    • Tradeoff: may cost more per click than awareness-style ads.

  • Reduce “single platform dependency” risk

    • If the business relies on one ad platform, account issues (e.g., ad account disabled) can be business-critical.
    • Multi-platform operation provides insulation.

When to start Google Ads (timing + sequencing)

  • Only add Google Ads after Meta Ads are profitable
    • Reason: early stage requires experimentation, testing, and budget. Starting Google too soon can spread the team too thin.

  • Use Meta profitability to fund Google experimentation

  • Budget guideline (Google recommendation)

    • Start daily budget at least 10× average cost per conversion.
    • Example given: $20 per purchase → $200/day → $6,000/month.
    • Caution: too small a budget can produce too few clicks/conversions for learning/optimization.

Low-effort “first move”: remarketing

Start with a simple remarketing campaign using traffic generated from Meta.

  • Where to remarket on Google:

    • Display Network, YouTube, Gmail, Discover, plus other Google surfaces.

  • Practical play recommendation (case-style example):

    • Put ~10–15% of the Meta budget into Google Ads remarketing/demand capture to “hoover up” low-hanging fruit (cheaper leads/sales from engaged audiences).

Don’t start from scratch: reuse what worked on Meta (assets + structure)

  • Port over:

    • Creative assets: images/videos, headlines, ad copy variants.
    • Adjust for Google-specific constraints (e.g., character limits).

  • Expect performance nuance:

    • Similar audiences react similarly, but you will need iteration because platform mechanics differ.

Campaign selection playbook (recommended path)

1) Demand Gen (best initial Google campaign type for Meta advertisers)

  • Why: designed for advertisers coming from other platforms like Meta.
  • Surfaces included: YouTube, Discover, Gmail (image/video).
  • Execution advice:
    • Quickly create demand gen using copied Meta assets.
    • Intended as the fastest/most likely-to-work starting point.

2) Performance Max (next step after learning + conversions)

  • When to switch:

    • After running Demand Gen for a few weeks and learning from platform data checks.
    • Requires enough conversion volume for optimization.

  • Why it’s favored (long-run):

    • Performance Max includes multiple Google campaign types in one (coverage expansion):
      • YouTube, Discover, Gmail, Display, Shopping, Search.
    • Similarity to Meta: framed as comparable to Meta Advantage Plus campaigns (AI-optimized delivery).

Performance Max setup principles (AI/optimization)

  • Targeting approach:

    • Provide audience signals (describe “interested in / meets criteria”), but don’t overconstrain.
    • Let Google’s algorithm find best prospects beyond manual targeting suggestions.

  • Optimization approach:

    • Don’t assume the best-performing Meta creatives will automatically win on Google.
    • Example guidance:
      • If one Meta image is best, test creating more like that winner on Google after observing results.

  • Learning effect:

    • More conversions → better optimization (algorithm learns who converts, when, and what frequency/interest levels work).

KPI/metrics emphasized (and implied)

  • Impression frequency over short periods (example target: “3 times within 24 hours”).
  • Cost per conversion / cost per purchase (used for budgeting).
  • Conversions / conversion volume (key requirement for Performance Max and Demand Gen learning).

No explicit revenue, CAC/LTV, or churn targets were stated; conversion efficiency and conversion volume are the practical focus.

Concrete actionable recommendations checklist

  • Sequence

    • Get Meta Ads profitable → reinvest into Google Ads.

  • Budget

    • Start with daily spend around 10× cost per conversion (Google guideline).

  • First campaign

    • Launch remarketing using Meta traffic; consider allocating 10–15% of the Meta budget early.

  • First full-funnel Google campaign

    • Start with Demand Gen, reusing Meta creative assets and adapting formatting.

  • Next campaign after learning

    • Move to Performance Max once you’ve gathered conversions and understand reporting.

  • Iterate creatively

    • Monitor which creatives win on Google; produce more variants aligned to winners (but don’t “replicate blindly”).

  • Give it time

    • Expect initial underperformance when switching platforms due to the learning curve.

  • Keep building conversions

    • More conversion data improves delivery decisions over time.

Presenters / sources

  • Presenter: The video creator / channel host (name not provided in the subtitles).
  • Source mentioned: Google (budget recommendation guideline and general optimization principles).

Original video