eCommerce

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eCommerce brands

we take a full-funnel approach across Meta, Google, Amazon, Reddit, and TikTok.

META

On Meta, we don’t just run broad Advantage+ campaigns; we layer in lookalike audiences built from high-value CRM data, and then complement those with catalog-based retargeting to recover cart abandons or promote cross-sells. We test creative variations in dynamic product ads, making sure the imagery, pricing, and reviews dynamically update in ways that matter to customers.

GOOGLE

With Google Shopping and Performance Max, the key is feed hygiene and segmentation: we’ll rebuild product titles and attributes so they match search intent, label products by margin or seasonality, and then apply bidding strategies that prioritize profitability rather than just volume. 

AMAZON

Amazon is about protecting your brand terms, aggressively targeting competitor products with Sponsored Display, and using Amazon Marketing Cloud to actually measure incrementality rather than just chasing ROAS. 

REDDIT

Beyond Meta, there are also good ROAS opportunities at a lower scale but attractive costs on more niche platforms such as Reddit, where Synergy has a dedicated account team to support our efforts and your goals. The content and creative approach must be different for this audience vs. Meta, but that’s part of the work and Synergy’s success in understanding these channels. 

Strategy Details

Meta Ads (Facebook/Instagram)
Campaign types
  • Advantage+ Shopping (ASC) for scaled prospecting; parallel Sales campaigns (CBO/ABO) for control.
  • Catalog (DPA) remarketing: browse-abandon, cart-abandon, post-purchase cross-sell/upsell (set by product set rules).
  • Value Optimization (VO) with min-ROAS guardrails; Advantage+ Creative & Placement.
Audiences & signals
  • Value-based LALs (1% ideally) from high-value purchasers, subscription customers, and top margin SKUs via hashed CRM.
  • Broad + Advantage+ Audience with strong pixel/CAPI signals to unlock algo reach.
  • Engagement RM (video viewers 50%+, IG engagers, Shop visitors), website RM 7/14/30, and new customer only exclusions.
Creative & feed
  • DPA templates with price, reviews, and frames; Collection/Reels for discovery; UGC whitelisting/creator licensing.
  • Feed optimization (titles, GTIN, availability; product set splits by margin/newness/seasonality).
Optimization & measurement
  • AEM event priority, CAPI dedup, Enhanced/Offline conversions.
  • Geo-lift tests, incrementality on RM vs PRO, split-tests (bid strategy, creative, LAL depth).
  • Weekly budget reallocation by incremental ROAS and marginal CPA.

Campaign types

  • PMax for Retail (primary revenue engine) + Brand Search (exact) + Non-Brand Search (broad w/ RSA pinning) + DSA for coverage.
  • Demand Gen (ex-Discovery) & YouTube for Action for mid-funnel and RM.

Audiences & feed

  • Audience signals per asset group: query-themed custom segments, GA4 purchasers, CRM lists (new vs existing).
  • Feed hygiene: titles “Brand + Attribute + Query”, GTIN, rich product types; Custom Labels for margin, seasonality, hero SKUs.
  • New Customer Acquisition toggle and value rules (e.g., +30% for new).

Bidding & controls

  • tROAS by product tier; seasonality adjustments for promos; account-level negatives (brand cannibalization control).
  • PMax exclusions (brand) to keep Brand Search clean; asset-group siloing by intent/theme.

Measurement

  • Data-Driven Attribution, Enhanced Conversions, Offline conversion import (order margin or LTV proxy), Consent Mode v2 ready.

Sponsored Products

  • 1 auto + 3 manual (exact/phrase/broad) per ASIN cluster; harvest ST → promote to exact; negatives to sculpt.
  • PAT (Product Attribute Targeting): competitor conquest, cross-sell, detail-page defense.

Sponsored Brands / SB Video

  • Brand defense, discovery on category terms; Store Spotlight to collections; video for high-intent queries.

Sponsored Display & DSP

  • Retarget detail-page viewers, audience remarketing, and contextual at scale; frequency caps and dayparting.
  • AMC (Amazon Marketing Cloud) for path-to-purchase, NTB rate, and incrementality cohorts.

Retail readiness

  • PDP: A+ content, reviews, Q&A, coupons, Prime/3P logistics; TACoS used for budget pacing.

Campaign types

  • Promoted Posts (link ads and conversation ads) to drive traffic and discussion.
  • Video Ads (native autoplay) with direct response CTAs.
  • Dynamic Product Ads (with catalog feed integration).
  • Website Conversions campaigns.
  • Optimization events: ATC → Purchase, start with lowest cost, then test bid caps by subreddit or cohort.

Audiences

  • Reddit Pixel + Conversions API; lookalike audiences on purchasers and high-value cohorts.
  • Interest targeting layered with subreddit targeting (e.g., communities aligned with product niche).
  • Retargeting: product viewers, cart abandoners, engaged users from site.
  • Engagement retargeting: users who clicked, commented, or upvoted ads.

Creative

  • Native post formats mimicking organic Reddit threads; headlines styled like subreddit titles or discussion starters.
  • Short-form video or GIFs with contextual hooks in first 2–3 seconds.
  • Static meme-style creative that aligns with subreddit tone.
  • Use of AMA-style copy or “community voice” to blend with native Reddit culture.
  • Catalog ads with product cards where relevant.

Opts

  • Subreddit-level testing to identify high-performing communities; rotate targeting every 7–10 days.
  • Creative refresh cycle every 10–14 days, adapting based on subreddit norms.
  • Holdout subreddits for incrementality testing.
  • A/B testing CTA phrasing tailored to community norms (“Join the discussion,” “Check it out,” vs “Buy now”).