Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Stop guessing, start winning: predicting winnin...

Sponsored · SiteGround - Reliable hosting with speed, security, and support you can count on.

Stop guessing, start winning: predicting winning products with PMax & Search

This talk is suitable for those who are actively running Performance Max and Shopping Ads and have a decent understanding of how product feeds work, and how to utilise custom labels in feeds.

Read on if you’re an e-commerce marketer or PPC specialist and want to level up your PMax strategies and better understand their interplay with Search campaigns.

We will look at:

● Discovering and applying a framework for predicting product success in Shopping Ads with PMax, including segmenting products based on performance and potential.

● Real-world examples of how dynamic product scoring and Search Space analysis can drive significant improvements in ROI for e-commerce advertisers with Google Ads.

● Understanding the concept of ‘Search Space’ and how it reveals the overlap and gaps in search term performance between Search and PMax campaigns.

Avatar for Indi

Indi

March 12, 2026
Tweet

More Decks by Indi

Other Decks in Marketing & SEO

Transcript

  1. Stop Guessing, Start Knowing: Predicting Product Performance with PMax &

    Search Inderpaul Rai speakerdeck.com/inders @inderpaul-rai #FOS2026
  2. 2017 2018 2020 2021 Exact Match brutalised PMax launched, BMM

    deprecated Search terms restricted RSAs launched
  3. 2017 2018 2020 2021 2025 Exact Match brutalised PMax launched,

    BMM deprecated Search terms restricted RSAs launched AI Max
  4. Trapped by the Algorithm 90% of products not receiving volume

    Focus is on < 10% of inventory The Scaling Challenge: Due to tight target ROAS constraints, Google Ads focuses on the top 1-10% of products with historical volume and proven PPC performance Recency Bias: Algorithms prioritise what sold in the last 30 days, ignoring potential, new items lack the history needed for Google to push in the auction The Result: High-potential SKUs remain dormant, starved of impressions
  5. The Framework: Reworking your portfolio Dormants This is the long

    tail of products that rarely have engagement and see very few sales. We'll likely look to alternative strategies to boost organic performance and improve their chances. Seasonal Stars Key seasonal collections and trending fashion items which perform exceptionally well during specific times of the year. Our processes will ensure maximum visibility & promotion when demand peaks. Champions Consistently high-performing fashion staples and wardrobe essentials that drive sales year-round. We focus on strong visibility and differentiation to ensure they remain top choices for customers. Challengers Emerging high-potential fashion pieces showing moderate customer interest. We'll be doing everything we can to optimise our offering here and drive substantial sales growth. Seeds Lower-performing or new products with sporadic sales. We aim to fulfil growth opportunities by highlighting USPs, testing creative strategies and identifying customer interest niches.
  6. Seeds New or niche products with sporadic sales but potential

    The Goal: Nurture and test, finding the right audience
  7. Seasonal Products that peak during specific times of the year

    Goal: Anticipate and capitalise for max visibility
  8. Dormants Products with declining or no sales that may need

    to be retired The Goal: Evaluate and decide to retire or optimise
  9. Product classification and activation engine Out of Season Peak Expected

    In-Season Popularity Indicators • Product Page Views • Add-to-baskets • Purchases • Recently Added • Business Context • Fashion Trends Statistical & Regression Modelling Commercial Attributes • Conversion Rates • Purchases • Add-to-baskets • Rating • Price Point • Stock depth Commercial Attractiveness Algorithm Commercial Attractiveness High Mid Low Zero Dormants This is the long tail of products that rarely have engagement and see very few sales. We'll likely look to alternative strategies to boost organic performance and improve their chances. Seasonal Stars Key seasonal collections and trending fashion items which perform exceptionally well during specific times of the year. Our processes will ensure maximum visibility & promotion when demand peaks. Champions Consistently high-performing fashion staples and wardrobe essentials that drive sales year-round. We focus on strong visibility and differentiation to ensure they remain top choices for customers. Challengers Emerging high-potential fashion pieces showing moderate customer interest. We'll be doing everything we can to optimise our offering here and drive substantial sales growth. Lower-performing or new products with sporadic sales. We aim to fulfil growth opportunities by highlighting USPs, testing creative strategies and identifying customer interest niches. Seeds
  10. nROI Commission Dynamic Shopping Structure Launched Onboarding Shopping Rebuild 16

    weeks to MVP 1. Initial rebuild of shopping campaigns → 272% commission increase and 100% nROI increase in 16 weeks → Identified potential for further improvement due to inventory scale 2. Dynamic scoring model for inventory management → Existing custom labels only benefitted long-lifecycle products → New model: commercial + behavioural data to segment products The results speak for themselves +65% ROI (at comparable spend) +5% Seasonal Volume (at comparable spend) +62% Product Discoverability (products with >1 impression)