Request a Quote for Dynamic Product Ads Optimisation Services

Why you should request a quote for dynamic product ads optimisation services

Dynamic product ads optimisation is designed to improve how your catalog-driven campaigns perform across Meta, Google, and other programmatic channels. When you request a quote for dynamic product ads optimisation services you should expect a focus on revenue impact, clean attribution, and funnel-level testing - not vanity metrics like impressions. Prebo Digital builds scalable systems that prioritise profitability (CAC and LTV) and accurate ROAS tracking for US-based ecommerce and B2B clients.

What the quote evaluates

• Current feed quality and product attribute mapping (title, brand, GTIN, availability).
• Audience strategy for TOF → MOF → BOF remarketing and dynamic creative sequencing.
• Conversion tracking and attribution alignment (GA4, server-side tracking, and platform signals).
• Bid and budget architecture tied to profit margin and CAC targets.
• Reporting and measurement: deterministic and probabilistic attribution blend.

A quote from Prebo Digital typically includes a diagnostic phase, recommended roadmap, and a clear set of deliverables and KPIs. If you want background on our broader capabilities, see our services overview which explains how paid media, CRO and tracking work together. For decision-makers evaluating partners, learn more about our agency model and values on the About Prebo Digital page.

A quick US-focused example

A mid-market Shopify store in the US with $1.2M annual revenue and a 25% gross margin might request a quote to reduce CAC from $45 to $30 through better dynamic remarketing. The optimisation roadmap would prioritise feed fixes, server-side order events, and a three-week creative testing cadence tied to margin-aware bidding.

What to expect in a Prebo Digital quote and engagement

When you request a quote for dynamic product ads optimisation services the proposal will be structured around Strategy → Build → Test → Scale → Report. Deliverables are explicit and scoped: campaign architecture, feed engineering, GA4 + server-side tracking, creative templates, and a multi-week test plan. Pricing is provided as a retainer or project fee with clear inclusions and exclusions.

Typical inclusions and exclusions

Getting the quote: data and timeline

• Initial intake (3-5 business days): share access to ad accounts, feed, GA4 and order data.
• Diagnostic (5-7 business days): technical audit and revenue-driven opportunity analysis.
• Proposal delivery (2 business days): scoped plan, estimated retainer, expected timeline to measurable impact.

Our approach uses clean data pipelines and server-side tracking to reconcile platform-reported conversions with backend revenue. That improves attribution clarity and supports profit-led decisions - for example, shifting spend from a high-ROAS but low-margin segment to a slightly lower ROAS segment that yields higher LTV and lower CAC.

Ready to request a quote?

If you want a tailored estimate, request a growth audit or book a free strategy call. Typical retainers start from project-based fees for a 6-12 week optimisation sprint to ongoing monthly retainers for continuous testing and scale. Pricing is presented in $USD and aligned to measurable KPIs so you can compare CAC and margin outcomes.

Performance reporting and next steps

Reporting focuses on revenue, MER and margin contribution with a mix of platform and server-side metrics. Example KPI set: incremental revenue (US$), CAC by funnel stage, feed error rate, and test lift (%) over a 30-90 day window. After the quote, engagements follow a sprint cadence: weekly standups, monthly business reviews, and a quarterly strategy session.

Sources

• Meta Business Help - Dynamic Ads for Retail
• Google Ads Help - Dynamic Remarketing
• Shopify Developers - Dynamic Product Ads Integration