Ashley Black Ecommerce Case Study

From a product launch to $22.6M in annual gross revenue

Ashley Black’s annual gross revenue grew from $1.5M in 2015 to $22.6M in 2016, according to our campaign record. This ecommerce case study covers the FasciaBlaster launch in March 2015 through Q1 2017. We connected ecommerce development, Facebook and Google audience testing, retargeting, and customer data so the business could turn product interest into orders.

Facebook cost per acquisition (CPA) fell from $35 to $28 over the same annual comparison. Those figures represent a 20% reduction. The company also reported $8.5M in gross revenue in Q1 2017 and a Facebook community of 200,000 members.

These are historical campaign and company figures. Gross revenue is not the same as revenue attributed to Facebook, and the record does not provide a return on ad spend (ROAS) calculation. See the source and calculation notes.

Ashley Black ecommerce case study: the short version

Question	What the campaign record shows
What was the business challenge?	Launch an unfamiliar consumer product while building the ecommerce and customer-data foundation.
What did Simplicity Media manage?	Ecommerce development, audience segmentation, Facebook and Google testing, retargeting, and customer-record consolidation.
How was creative tested?	Three to four ads for at least two weeks per test; 20 ads across 30 ad sets over the program.
What changed in revenue?	Annual gross revenue increased from $1.5M in 2015 to $22.6M in 2016.
What changed in acquisition cost?	Reported Facebook CPA fell from $35 to $28, a calculated 20% reduction.
What is not established?	Total media spend, ROAS, blended customer acquisition cost, incremental lift, and a quantified retention improvement.

FasciaBlaster launch and growth timeline

The challenge: educate a market and build a path to purchase

FasciaBlaster was an unfamiliar product. Before asking people to buy, the brand needed to explain what it was selling and find the audiences interested enough to learn more. At the same time, the business needed a workable connection between its online store, customer records, and fulfillment house.

Our brief covered four needs: ecommerce operations, brand awareness, identification of higher-value customers, and an ongoing customer relationship. Acquisition could not be treated as a traffic problem alone. The site and the data behind it had to support the response created by advertising.

How the ecommerce and paid social program worked

1. Connect the storefront to fulfillment

We built conversion-focused ecommerce sites with a back end connected to an operational database. That gave the storefront and fulfillment house a more direct way to exchange information. The work supported the path from an ad response to an order that the business could process.

Our approach to ecommerce media starts with that connection: the buying experience has to support the demand advertising creates. The storefront work and the media plan need to inform each other.

2. Segment audiences before expanding spend

Audience analysis identified Facebook and Google as priority channels. Internal customer data and Acxiom data supported audience segmentation, Facebook lookalikes, and the Google similar-audience targeting used during the campaign period. Higher-potential markets were divided into prospect groups so performance could be compared across audiences.

These are descriptions of the historical setup. The case does not establish that every targeting feature or data source is available in the same form today.

3. Let creative tests guide allocation

We tested three to four ads for at least two weeks, then shifted budget toward the stronger performers. The campaign record describes 20 ads across 30 ad sets overall. That is how we approached paid social media advertising for this launch: test a defined set of creative, compare response, and use the result to allocate the next round of spend.

Facebook likes campaigns built an initial audience. Retargeting then reached people who had already engaged with the brand. The record describes stronger response and revenue from those ads, but does not disclose a separate retargeting ROAS or controlled lift result.

4. Bring customer records together

Duplicate accounts and disconnected records were merged into a single customer view. Ongoing maintenance kept profiles more accurate and supported a better understanding of customer needs. A closed Facebook community gave the brand another source of feedback and conversation after purchase.

The source records 200,000 group members. It does not report a measured change in repeat purchase rate or customer lifetime value, so community size is presented as its own result.

Results: revenue, acquisition cost, and community

Measure	Baseline	Reported outcome	How to interpret it
Annual gross revenue	$1.5M in 2015	$22.6M in 2016	About 15.1 times the baseline, rounded to 15x; company revenue, not channel-attributed revenue.
Facebook CPA	$35 in 2015	$28 in 2016	$7 less per acquisition; 20% reduction using the reported starting value.
Quarterly gross revenue	No comparable quarter supplied	$8.5M in Q1 2017	A quarterly total; not a year-over-year growth rate.
Facebook community	Starting size not supplied	200,000 members	Historical group size; not a count of customers acquired through advertising.

Revenue grew and reported Facebook acquisition costs fell. We keep those results separate because the record does not isolate how much growth came from paid social, Google, community activity, or other business factors. Our guide to media attribution explains what evidence is needed to connect channel activity to business outcomes.

For the metric itself, Google’s average CPA definition divides conversion cost by conversion count. That is a useful reference for the calculation, not verification of this Facebook account’s historical costs or acquisition rules.

What ecommerce advertisers can take from this case

Start with the obstacle between interest and purchase. For this launch, that included product education, audience discovery, and ecommerce operations. A retargeting-only plan would have addressed just one part of that work.

Keep the test design specific enough to change the next decision. Document the audience, creative, test window, acquisition definition, and budget allocation. Then distinguish platform CPA from blended customer acquisition cost: the latter requires a broader cost base and a defined new-customer count that this source does not provide.

Google’s Conversion Lift documentation illustrates a stronger causal test: compare an ad-exposed group with a control group. No such experiment is documented for this engagement.

The Planetary Society nonprofit marketing case study follows a similar audience-segmentation approach with a different conversion event: a new membership. The Optima Tax Relief radio case study shows how response informed expansion into more markets.

Questions about the Ashley Black campaign

How much did FasciaBlaster revenue grow?

The campaign record reports $1.5M in gross revenue in 2015 and $22.6M in 2016. The later total is approximately 15.1 times the earlier total, rounded to 15x. These are company-level annual figures, not Facebook-attributed sales.

Was Facebook CPA reduced by 20% or 25%?

The reported dollar figures, $35 and $28, calculate to a 20% reduction: ($35 - $28) / $35. The original document labels the reduction as 25%; this page uses the calculation supported by its dollar values.

What did Simplicity Media do for Ashley Black?

The engagement covered ecommerce development, customer-data consolidation, audience segmentation, Facebook and Google testing, and retargeting. The case records creative testing across 20 ads and 30 ad sets.

Does this case study establish ROAS or incremental revenue?

No. The supplied record does not include total advertising spend, an attribution window, or a controlled experiment. Revenue growth and Facebook CPA are reported separately, without converting them into a ROAS or incremental-lift claim.

Sources and measurement notes

The primary source is Simplicity Media’s five-page AB Case Study_Digital campaign record, supplied for this case study. Its background section dates the launch to March 2015; its solution section documents ecommerce, targeting, testing, retargeting, and customer-data work; its results section provides the revenue, CPA, and community figures.

The official FasciaBlaster website identifies the brand and its products today. It is included for brand context, not as independent verification of the historical financial results. This is a marketing case study and does not assess product efficacy.

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