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Harbour SupplyHousehold

Recovering organic rank after a six-week stockout

A supply chain failure cost Harbour its top three positions. Recovery took a deliberate plan, not patience.

Engagement: SEO and operations · 11 months

Headline results

  • +88%

    Organic sessions

    Trailing 90 days vs pre-recovery

  • 97%

    In-stock rate

    Core SKUs, trailing 6 months

  • +52%

    Organic share of sales

    From 34% to 52%

Illustrative figures. This case study is demonstration content. Replace the brand, quote and every number here with verified, client-approved data before publishing — see src/content/case-studies.ts.

The challenge

What was actually wrong.

A container delay put Harbour's three best-selling SKUs out of stock for six weeks. Organic positions fell from the first page to positions 20 to 40.

Four months after restocking, rank had not recovered. Sales were being held up entirely by advertising at an unsustainable cost.

Background

Amazon's ranking rewards recent sales velocity. An extended stockout removes it, and simply being back in stock does not restore the position.

Harbour also had no forecasting model — reorder decisions were made by eye against a spreadsheet updated monthly.

Strategy

What we decided to do — and in what order.

  1. Treat recovery as a launch

    We planned the return to rank as a deliberate velocity push rather than assuming positions would come back on their own.

  2. Verify indexation before spending

    Two SKUs had lost indexation on priority terms after a bulk catalogue edit made during the stockout. Spending before fixing that would have been wasted.

  3. Concentrate, then widen

    Budget was focused on eight terms rather than spread across eighty, so velocity was concentrated enough to move position.

  4. Fix the cause, not just the symptom

    A forecasting model and reorder calendar were built in parallel so the situation would not repeat.

Execution

The work, week by week.

  • Re-established indexation on 14 priority terms across the three affected ASINs.
  • Ran a focused eight-week velocity campaign on eight head and mid-tail terms.
  • Refreshed imagery and bullets during the push to maximise conversion on the incoming traffic.
  • Built a SKU-level forecast model incorporating supplier and freight lead times.
  • Introduced a weekly cover review with reorder triggers based on true end-to-end lead time.

Before vs after

The movement.

Metrics before and after the engagement. All figures are illustrative placeholders.
MetricBeforeAfterNote
Average organic position, 8 priority terms276Weekly tracked average
Organic share of sales34%52%Trailing 90-day average
In-stock rate, core SKUs71%97%Trailing 6 months
Weeks of cover at reorderAd hocLead time + 4Formalised reorder policy
M1M3M6
Average organic position on eight priority terms, lower is better. Illustrative placeholder data.
View the underlying data as a table
Values plotted in the chart above
PeriodIndexed value
M127
M221
M314
M49
M66

Timeline

How it unfolded.

  1. Weeks 1–2

    Indexation audit

    Found and fixed lost indexation on 14 priority terms.

  2. Weeks 3–10

    Velocity push

    Concentrated budget on eight terms with weekly rank tracking.

  3. Months 3–6

    Consolidation

    Positions held under reduced spend; budget widened to secondary terms.

  4. Months 6–11

    Prevention

    Forecast model, reorder policy and weekly cover review embedded.

Key learnings

What we'd tell the next brand.

  • Rank does not return on its own after an extended stockout. Plan the recovery or pay for the position indefinitely.

  • Check indexation before spending money on rank. A bulk catalogue edit during a stockout is a common and invisible cause of failure.

  • Concentrated budget on few terms moves position. The same budget spread thinly does not.

We had been waiting for the rankings to come back for four months. They were never going to.
[CLIENT NAME], [JOB TITLE], Harbour Supply

Placeholder attribution. Client names and quotes are published only with written permission.

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