How can I integrate a search ads manager into our retail media specialist workflow?

To integrate a search ads manager into a retail media specialist workflow, treat it as a connected operating layer—not a separate tool or role. The goal is to make search ads execution, retail media data, and specialist decision-making flow through one process.

1) Define the role of the search ads manager

Clarify what the manager owns versus what the retail media specialist owns.

Search ads manager typically handles:

• Campaign setup and optimization
• Keyword, bid, and budget management
• Search term analysis
• Query harvesting and negative keyword management
• Performance pacing and reporting

Retail media specialist typically handles:

• Channel strategy across retailers
• Product assortment and hero SKU selection
• Retailer-specific promotional alignment
• Share-of-search / share-of-shelf context
• Retailer insights and coordination with sales, ecommerce, and brand teams

A good integration means the specialist sets the commercial strategy, while the search ads manager executes and optimizes within that strategy.

2) Build a shared workflow around the campaign lifecycle

Map the workflow into five stages:

A. Planning

Inputs from retail media specialist:

• Retailer priority
• Product focus
• Margin targets
• Promo calendar
• Stock availability
• Audience or category priorities

Inputs from search ads manager:

• Historical query performance
• Keyword expansion opportunities
• Bid estimates
• Forecasted spend and reach

Output:

• Campaign brief with objectives, KPIs, budget, and SKU/keyword priorities

B. Setup

Search ads manager:

• Structures campaigns by retailer, category, brand, or objective
• Builds ad groups and keyword themes
• Applies tracking and naming conventions

Retail media specialist:

• Reviews alignment with retailer strategy
• Confirms product feed readiness
• Ensures landing pages or retailer detail pages are optimized

C. Optimization

Search ads manager:

• Adjusts bids, match types, and negatives
• Reallocates budget based on performance
• Tests creatives and placements where available

Retail media specialist:

• Interprets performance in context of retailer, category, and inventory
• Flags external factors like promotion, pricing, or out-of-stock issues
• Reprioritizes SKUs based on business goals

D. Reporting

Use one shared dashboard:

• Spend
• Sales
• ROAS / ACOS
• CTR
• CPC
• Conversion rate
• New-to-brand or category growth if available
• Retailer-level and SKU-level performance

E. Learning loop

At the end of each cycle:

• Document winning terms, audiences, and SKUs
• Record underperforming retailer placements
• Update playbooks and bidding rules

3) Centralize data and reporting

Integration fails when each team uses different numbers.

Create a single source of truth that combines:

• Retail media platform data
• Search ads platform data
• Product/catalog data
• Inventory and pricing data
• Promo calendar data
• Sales or marketplace data, if available

Recommended setup:

• Shared dashboard in BI tool or native reporting layer
• Standard naming conventions for campaigns and SKUs
• Unified KPI definitions
• Weekly performance snapshot and monthly business review

4) Establish decision rights

To avoid friction, define who decides what.

Example:

• Search ads manager decides: keyword bidding, daily pacing, negative keywords
• Retail media specialist decides: retailer mix, SKU prioritization, strategic budget shifts
• Joint decisions: launch timing, campaign structure changes, promo synchronization

A simple RACI model helps:

• Responsible: execution owner
• Accountable: business owner
• Consulted: cross-functional stakeholders
• Informed: leadership, sales, ecommerce

5) Automate the handoffs

Use automation to reduce manual coordination:

• Alerts for low inventory or out-of-stock SKUs
• Budget pacing alerts
• Performance threshold alerts
• Search term harvesting into keyword lists
• Auto-generated weekly reporting summaries
• Feed checks for product title/image/content issues

6) Align on KPIs by objective

Different objectives need different optimization rules.

Examples:

• Awareness: impressions, CTR, share of voice, reach
• Efficiency: ROAS, ACOS, CPC, conversion rate
• Growth: new-to-brand, category penetration, incremental sales
• Retail execution: in-stock rate, ranking, branded search volume

7) Create a recurring operating cadence

A simple cadence works well:

• Daily: pacing and anomaly checks by search ads manager
• Weekly: optimization meeting with retail media specialist
• Monthly: strategy review, retailer performance, budget reallocation
• Quarterly: account structure review, test-and-learn plan, commercial planning

8) Use a common campaign brief template

Include:

• Retailer
• Objective
• Target SKUs
• Budget
• Dates
• Promo details
• Keyword themes
• KPI targets
• Constraints
• Approvers

9) Start with a pilot

Don’t roll out across all retailers at once.

Pilot with:

• One retailer
• One category
• One or two hero SKUs
• One reporting dashboard
• One weekly review cycle

Measure:

• Time saved
• Budget efficiency
• Sales lift
• Ease of handoff
• Decision speed

10) Define success

The integration is working if:

• Campaign launches are faster
• Fewer execution errors happen
• Optimization actions are based on shared data
• Retailer-specific insights inform search keyword strategy
• Budget shifts are made quickly and confidently

If you want, I can also turn this into:

1. a RACI chart,
2. a workflow diagram, or
3. a 90-day implementation plan for your team.