Request a Quote for Performance-Based Marketing Services

Get a tailored proposal that aligns ad spend to revenue, improves attribution accuracy, and reduces CAC for your US-based store or B2B offering.

Marion Nowak

21 December 2025

4 min read

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In This Article

Revenue-first quotes

Proposals model profit impact and CAC, not vanity traffic numbers.

Tracking & attribution

Includes GA4, server-side events, and a single source of truth for revenue.

Test-to-scale roadmap

Structured Strategy → Build → Test → Scale → Report plan with timelines.

Why request a quote for performance-based marketing services

If you're evaluating partners to drive profitable growth, asking for a quote for performance-based marketing services is about more than price. It is a structured way to assess how an agency will move your metrics-CAC, LTV, MER-through strategy, tracking, and continuous optimization. Prebo Digital builds proposals that show expected revenue impact, attribution clarity, and a path to scalable returns for US Shopify, WooCommerce, and B2B SaaS businesses.

What the quote should cover

Strategy scope: target audiences, funnel allocation (TOF → MOF → BOF), and recommended channels.
Build plan: tracking architecture (GA4, server-side), landing page/CRO work, creative and campaign setup.
Test & scale roadmap: hypothesis-driven tests, KPI thresholds, and scale criteria tied to profitability.
Reporting & attribution: clean data pipelines, consolidated reporting, and attribution model recommendations.
Commercial terms: retainer structure, performance incentives, and estimated timeline.

How we structure performance-based proposals

Prebo Digital follows a Strategy → Build → Test → Scale → Report framework in every proposal. A well-constructed quote will include forecasted outcomes (expressed as ranges) and assumptions about average order value, conversion rates, and ad budget. Example: a US DTC store with $75 AOV and a 2.0% landing conversion may see modelled improvements that lower CAC in an estimated range (example figures only).

For context on our service breadth, review our Services Overview and how we combine paid media with CRO and tracking for measurable growth. Learn more about our company approach on the About Prebo Digital.

Typical deliverables included in a quote

Phase	Deliverables	Timing (estimate)
Strategy	Channel plan, KPIs, attribution model	1-2 weeks
Build	GA4 & server-side tracking, landing pages, campaign setup	2-6 weeks
Test & Scale	A/B tests, audience iterations, bid and creative optimisations	Ongoing

If you want an example quote, ask for a growth audit and the agency should return a scoped proposal showing retainer options (base + performance incentive) and expected outcomes. For pragmatic next steps, you can visit our homepage to see client results and case studies that inform realistic forecast ranges.

How to evaluate performance-based marketing quotes

When assessing competing quotes, prioritize three things: attribution accuracy, margin-first forecasting, and a test plan tied to revenue. Avoid proposals that only promise more traffic-look for those that model profit impact and specify how attribution will be reconciled across platforms.

Questions to ask prospective partners

How will you attribute conversions across Google, Meta, and server-side events?
What retainer and incentive structure aligns your team with my profitability goals?
Which analytics stack do you propose for a US eCommerce store (GA4, GTM, server-side)?
Can you share a sample performance model used for previous US clients (anonymized)?

Tip: Ask for a short case scenario in the quote that shows how a $10,000 monthly ad budget would shift CAC and MER over a 3-6 month test window. Estimates should be labeled as modelled projections, not guarantees.

Commercial terms & pricing guidance

Typical engagement structures include a base monthly retainer plus a performance fee tied to agreed KPIs. For US small-to-midsize eCommerce brands, retainers often range from $4,000-$15,000/month depending on scope, while performance incentives are structured around incremental revenue or profitability thresholds (figures are estimates and will vary by vertical).

To request a scoped proposal that aligns with your goals, you can Book a Free Strategy Call or Request a Growth Audit to get a custom plan and price estimate.

Reporting cadence and governance

Proposals should define reporting cadence (weekly for tactical, monthly for strategic), dashboards, and what data sources are used. Expect GA4, server-side event validation, and a single source of truth for revenue reporting to be included in accountable engagements.

Sources

Ready to receive a clear, revenue-focused quote? Request a custom proposal that shows forecasted outcomes, assumptions, and the tracking plan that will validate success. For more about Prebo Digital’s approach to measurable growth, see our homepage.

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United States Online Advertising: Myths, Real Costs, and the 2026 Playbook

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The practical response is to shift upper-funnel spend into October and reserve November for retargeting and branded capture, not cold prospecting at inflated rates. Myth 3 - iOS 14.5 Killed Meta and Google Tracking iOS 14.5 disrupted tracking, it did not end it. The platforms that responded fastest were those whose advertisers paired the Conversions API (Meta) and Enhanced Conversions (Google) with server-side event delivery. For US advertisers who deployed these properly, observed recovery of previously lost attributed conversions commonly landed in the 20-40% range per agency and platform reporting - a range to plan around, not a promised outcome. What Conversions API and Server-Side GTM Recovered The mechanism is straightforward: server-side events are not dependent on the browser cookie being present, so they survive ATT opt-outs, Safari ITP, and Firefox ETP far better than pixel-only setups. Server-side GTM acts as a single processing layer where you control what gets forwarded to each platform and where you can deduplicate events by an event_id . That deduplication is what prevents inflated conversion counts when both browser and server fire the same purchase. Why GA4 Alone Under-Reports Paid Conversions in the US GA4 under-reports paid performance in the US for three compounding reasons: Consent Mode reduces reported conversions for non-consenting users; cookie loss truncates cross-session journeys; and cross-device gaps hide mobile-to-desktop purchases. Any team making budget decisions on GA4 conversions alone is systematically under-crediting paid channels and over-crediting direct traffic. The fix is not a new dashboard - it is server-side event delivery, Consent Mode v2 modeling, and a blended reporting view that reconciles platform, warehouse, and Shopify order data. 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FTC Advertising Rules and the FCC One-to-One Consent Rule for Lead Gen The FTC governs truthfulness of advertising claims and endorsement disclosures. Separately, the FCC's 2024 One-to-One Consent Rule tightened TCPA lead-generation consent so that a consumer's consent to receive calls is tied to a specific seller, not a broad network. For any US lead-gen advertiser routing form fills to multiple buyers, this is a material change to form language and partner consent flows. What US Online Advertising Actually Costs by Channel A Comparison Table: Google, Meta, TikTok, Amazon, LinkedIn, Microsoft, Reddit, Pinterest The ranges below are planning estimates for US accounts, not benchmarks. They move with auction density, vertical, creative quality, and seasonality. Channel Primary US Strength Typical US CPC Range (USD, estimate) Tracking Complexity Google Search High-intent demand capture $1-$8+ (B2B SaaS can exceed $15) Medium Meta Demand generation, DTC scale $0.50-$4 (CPM-based) High (needs CAPI) TikTok Short-form video discovery $0.40-$3 (CPM-based) High Amazon Ads Low-funnel retail intent $0.40-$2.50 (product-dependent) Medium (platform-native) LinkedIn B2B targeting precision $6-$20+ (CPC-based) Medium Microsoft Ads B2B and older demographics $0.80-$5 Low-Medium Reddit Niche community targeting $0.30-$2 (CPM-based) Medium Pinterest High-intent home, fashion, DIY $0.20-$1.50 (CPM-based) Medium Any CPC quoted as a single fixed number should be treated as marketing, not data. Plan with ranges and re-baseline monthly on your own account.

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PPC Management for Retailers: Debunking Myths and Maximizing ROI

Common Myths About PPC Management for Retailers Retailers often approach paid search and shopping ads with a few stubborn misconceptions: that PPC only works for huge brands, that it is too expensive for physical products with tighter margins, or that success depends on flooding Google with as many keywords as possible. In practice, the retail accounts that struggle most are usually the ones running without a clear structure, conversion tracking, or a realistic view of margin economics. The myth is not that PPC is ineffective; the myth is that it can be run casually and still produce reliable profit. A second myth is that PPC is just a traffic channel. For retailers, paid search, Shopping, and remarketing should function as a demand-capture system tied to product margin, average order value, and inventory priorities. When campaigns are mapped to what actually sells, PPC becomes much easier to evaluate. A retailer does not need more clicks if those clicks are coming from low-intent queries, out-of-stock products, or audiences that never move beyond the cart. Warning: retailers often overvalue platform-reported conversions and miss the impact of returns, discounts, shipping costs, and repeat purchase rate on true profitability. There is also a common belief that PPC is only useful during promotions or seasonal peaks. Seasonal demand can absolutely matter, but that does not mean campaigns should sit idle the rest of the year. In many retail categories, the stable base of non-brand and brand search terms creates a predictable acquisition layer, while promotions, back-in-stock campaigns, and category expansions add incremental lift. A retailer with clean feed management and reliable attribution can use PPC to learn which products deserve more shelf space, more creative testing, and more aggressive bids. Why These Myths Persist Retail PPC gets blamed for weak results when the real problem is often poor setup. If product feeds are incomplete, conversion tracking misses revenue, or search terms are too broad, the channel appears inefficient. Prebo Digital sees this pattern frequently in accounts where platform dashboards show a healthy return, but GA4, backend orders, and gross margin tell a different story. The issue is not the channel itself; it is the measurement framework. Another reason the myths persist is that retailers sometimes expect the same treatment from PPC that they would give organic merchandising. Paid media is not a static catalogue. It needs ongoing bid shifts, search term review, audience segmentation, and product-level prioritisation. Without that discipline, the channel can look noisy. With it, PPC becomes one of the clearest ways to connect shopper intent to revenue. $2 returned for every $1 spent Retail PPC can be cost-effective when campaigns are structured around profitable products, accurate attribution, and disciplined optimisation. Fact: PPC Can Be Cost-Effective for Retailers The strongest case for PPC in retail is not abstract reach; it is measurable intent. Search ads, Shopping campaigns, and remarketing place products in front of people already looking for a category, brand, or solution. That is why retail PPC can be cost-effective even when clicks are not cheap. If the query is high intent and the landing page converts well, the economics can work. WordStream has highlighted how PPC can be especially valuable for retailers because it captures buyers near the point of purchase, not just early-stage browsers. This is where margin awareness matters. A retailer selling accessories with healthy margins can tolerate different bids than a brand selling low-margin basics. Rather than judging performance on revenue alone, you need to view it through contribution margin, repeat purchase potential, and inventory velocity. That is especially important in the United States, where shipping expectations, discount competition, and return behavior can erode apparent ROAS if they are not built into the reporting model. How Paid Search Fits Retail Economics A healthy retail account usually separates campaigns by intent and product economics. Brand search protects demand already created elsewhere. Non-brand search captures shoppers comparing options. Shopping campaigns surface specific SKUs. Remarketing brings back people who viewed products but did not buy. Each layer serves a different role, so each must be evaluated differently. If you treat them all as one lumped campaign, you lose the ability to see where profit is really coming from. Campaign Type Primary Role Retail Use Case Brand Search Protect existing demand Capture shoppers searching your store name or hero products Non-Brand Search Generate incremental demand Reach buyers comparing products or categories Shopping / Feed Ads Show product-level intent Promote SKUs with strong margin or inventory goals Retailers also benefit from the speed of testing. A new promotion, landing page, or product bundle can be evaluated in days rather than months. That makes PPC a useful learning engine for merchandising and inventory decisions, not only a sales engine. When managed properly, the channel reveals which product attributes, price points, and offer structures are resonating with real shoppers. For teams exploring broader marketplace tactics, Google Ads strategies for online marketplace optimization offer practical next steps. Info: Shopify’s own PPC guidance reinforces that paid ads can support awareness, traffic, and sales across the buying journey, especially when product pages and feeds are well maintained.

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Jul 26, 20265 min read

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