Our fees scale depending on your ad spend. Typically, fees are around 10% of ad spend.

Our package is all inclusive of your Google & Bing ad campaigns, ad conversion tracking, remarketing, click fraud protection, feed management + our consultants on hand to assist you with your marketing objectives. Campaign internationalisation & translation can be provided – see our multi-lingual campaigns.

There are no set up fees for management services and no long term contract.

We make switching ecommerce ppc agency easy or taking over from you if you currently manage your own ad account. Just give us a call & we’ll walk you through the process.

We take control of your digital marketing so you have one point of contact. We’ll create the Paid Ad campaigns you need, analyse your website performance & test recommended changes.

• eCommerce PPC Strategy
• Google Ads & Shopping Campaign Creation
• Daily eCommerce PPC Management
• Full Google Ads eCommerce Tracking
• Click Fraud Protection Software
• Call Tracking & Offline Sales
• Monthly Face-to-Face Meetings + Report
• Translation for International Campaigns
• Shopping Feed Optimisation
• Live Stats & Dashboard

We don’t belive in tying people to a contract. We have no lengthy tie-ins, just a simple rolling monthly contract that you can leave at any time. We aim to prove our worth so you’ll never want to leave!

Most agencies optimise for ROAS. We optimise for POAS (profit on ad spend), which accounts for:

• product-level margins
• fulfilment costs
• returns
• discounts
• shipping

We take real Shopify/WooCommerce order data, including net profit value, and feed it back into Google Ads via server-side tracking.

➡ This allows Google Ads to bid more aggressively on high-margin products while reducing spend on low or negative-margin ones.

Why it matters:
Two campaigns with identical ROAS may be wildly different in profit.

We typically follow this time plan:

Week 1–2 — Conversion foundations

• Data fixes
• Correct tracking
• Feed restructuring
• Product segmentation

Week 3–7 — Consolidation

• Google learns profitable segments
• POAS stabilises
• Scaling levers found

Week 8+ — Growth phase

• Budget expansion
• Multi-campaign split testing

Our fastest turnarounds have been within 14 days when tracking was already clean.

Because Google rounds auction prices differently when your listing shows as:

“By myWebhero”

instead of:

“By Google”

It isn’t a discount—it’s baked into the cost structure.

That saving goes directly into either:

• cheaper clicks
• more clicks for the same budget
• or improved POAS/ROAS

We see three patterns:

Problem 1 — Budget efficiency

Budgets are rarely allocated to the products or searches that actually convert.
Without meaningful segmentation, spend is wasted on low-intent traffic or low-value items, while high-performing products don’t receive enough investment.

Problem 2 — Poor-quality or incomplete data

Tracking is often inaccurate or incomplete, meaning decisions are made on unreliable information.
Typical issues include missing conversion values, incorrect revenue, or incomplete Merchant Center data.

Problem 3 — Ineffective account structure / campaign types

Most accounts sit at one of two extremes:

• Too granular (Google cannot learn properly)
• Not granular enough (Google bids broadly and inefficiently)

A balanced structure allows automation to work efficiently without losing control.

We correct all three immediately, which typically stabilises performance, improves ROAS/POAS, and creates a foundation for scale.

We follow a structured process designed to stabilise performance quickly and then scale profitably:

1. Fix budget allocation

We shift spend toward what actually converts by:

• Segmenting product groups based on performance and margin
• Identifying wasteful searches and reducing spend on them
• Prioritising high-value items to increase volume where it matters

Our AdTool helps by automatically identifying best-performing and under-performing products (unicorns, best-sellers, vampires etc.) so budget isn’t dependent on guesswork.

2. Fix the data

We clean and correct the data going into platforms by:

• Ensuring conversion values are accurate
• Mapping product IDs correctly
• Feeding real basket-level information back into Google Ads
• Correcting Merchant Center data quality issues

This means bidding decisions are based on real value, not approximations.

3. Rebuild the campaign structure

We create structures that support learning and automation:

• Consolidation where needed (to increase data per signal)
• Adjusted segmentation when margin or conversion profiles differ
• A clear distinction between branded, generic and product-led activity

This allows Google’s automation to allocate budget more efficiently while keeping control of what matters.