Urumi.AI
Urumi.AI

The full picture.
A clearer path to growth.

How Valentte connected sales, acquisition and store operations
to understand its recovery and decide what to do next.

Company
Valentte
Industry
Home fragrance
Platform
WooCommerce
Focus
Business context & analytics
Luke, founder of Valentte
LukeFounder, Valentte
The October review · 2026
+24%Sales recovery from the September low, by 5–11 October

Understand the recovery.
See the next move.

A single view of the channels, customers and operational details behind the numbers.

Sales growth from the week of 14 September
+24%
Conversion in the new theme’s first nine days
~6.3%
Paid-visitor email sign-ups, week of 5 October
5.7k

One business. Several moving parts.

Valentte’s sales had fallen through the summer. Paid acquisition had been cut, a store migration had taken place, and a new theme was about to launch. Email, repeat purchases and social traffic were all part of the picture. Looking at any one dashboard in isolation could tell the wrong story.

Urumi brought WooCommerce order data together with Bloomreach engagement data to understand what was changing, why it mattered, and where the team should look next. The 29 September review traced the decline to reductions in paid acquisition. The October follow-up tested that explanation against the recovery.

The question behind the numbers

Was the storefront losing customers, or were fewer new customers reaching it?

Put the changes in order.

  1. 9 September

    The store migrates

    A GeneratePress child theme goes live as part of the migration.

  2. 29 September

    Follow the acquisition signal

    Urumi’s review with Valentte traces the sales decline to cuts in paid acquisition.

  3. 30 September

    A new theme and a new recovery flow

    The Valentte theme replaces GeneratePress. Luke creates an abandoned-checkout email and SMS flow in Bloomreach.

  4. 8–11 October

    New creatives start converting

    35 new Meta ads bring in their first orders across four days. Meta orders and first-time customer orders rise.

  5. 9–12 October

    Connect the rest of the activity

    A three-day Direct traffic spike overlaps with social activity. Welcome, post-purchase and abandonment flows are edited, and a Black Friday direct-mail draft is created.

Recovery in a week.
A clearer view of what drove it.

Sales in the week of 5–11 October were up 10% on the previous week, and 24% above the low in the week of 14 September. The year-on-year gap narrowed to 3%, from 14% in the week of 28 September.

The improvement was spread across channels. Comparing two-week averages before and after the review made that contribution visible.

A broader recoveryAverage weekly sales · two weeks before and after the review
14 & 21 Sep100
28 Sep & 5 Oct118

About 18% more per week, indexed to the two weeks before the review. Sales include VAT and shipping. The review was on 29 September; these periods show association, not a causal estimate.

Where the increase came fromShare of the increase in average weekly sales · same two-week comparison
Direct43%
Bloomreach email21%
Organic search17%
Meta paid13%
Google paid6%

Rounded estimates; other sources were approximately flat. Direct includes some traffic from Facebook and Instagram’s in-app browsers.

Direct contributed the largest increase, but “Direct” did not mean the absence of social influence. During 9–11 October, around 40% of Direct orders came through Facebook or Instagram’s in-app browser. Tagged Meta orders still carried their tracking identifiers, pointing away from broken ad tags as the explanation.

This gave the team specific follow-ups: identify the social activity behind the bundle-offer traffic, and check tracking on the new email and SMS cart-recovery links.

Keep the recovery in perspective

Meta and Google paid sales were still well below spring levels. The direction had changed; the gap had not disappeared.

A theme change,
without a conversion setback.

A sales increase after a theme launch can look like evidence that the theme caused it. Urumi checked conversion, orders and tracked sessions together before drawing that conclusion.

The new theme converted at approximately 6.3% over its first nine days, similar to the preceding fortnight on GeneratePress. Statistical testing found no new conversion break at the 30 September launch.

A new theme. A steady conversion rate.Paid orders ÷ tracked sessions · all periods in 2026
Old theme · 25 Aug–8 Sep5.80%
GeneratePress · 9–29 Sep6.44%
Valentte theme · 30 Sep–8 Oct6.34%
Valentte theme · 30 Sep–13 Oct6.15%

The last two periods overlap. Orders are aligned to Bloomreach’s US Pacific day. Rates reflect changes in traffic mix as well as storefront behaviour.

The earlier increases in conversion aligned with reductions in sessions after paid acquisition cuts. Fewer low-converting paid visitors meant a higher overall rate, even while order volumes fell. Traffic mix explained more than a simple before-and-after theme comparison could.

The September migration also left a measurement question to verify: did session tracking change? The review recommended a cross-check against bot-filtered Cloudflare requests.

Today’s acquisition.
Tomorrow’s repeat purchases.

The analysis followed new customers beyond the first order. Paid traffic feeds email sign-ups; those subscribers can become buyers weeks later. Cutting acquisition can therefore affect revenue long after the ad budget changes.

Paid-visitor email sign-ups5.7k

Week of 5 October, up from 4.2k the week before and roughly 3k per week since August.

Recent-subscriber email buyers741

The second week after the review, following 756 the week before. The figure had fallen to 624 by the September review.

Meta orders were already rising before the review. By 8–14 October they averaged around 114 per day, versus 81 during 17–28 September. The burst of new creatives coincided with stronger acquisition, although budget data was still needed to assess efficiency.

The next generation of repeat customersFirst-time buyers by week · 1 June–5 October 2026
Week of 5 Oct2,547 buyers
0k2k4k1 Jun6 Jul3 Aug7 Sep5 Oct

Hover, tap or focus a point to inspect it. First-time buyers rose from 1,863 in the week of 21 September to 2,547 in the week of 5 October.

View chart data
Week startingFirst-time buyers
1 Jun 20263,705
8 Jun 20265,080
15 Jun 20263,926
22 Jun 20263,554
29 Jun 20263,316
6 Jul 20261,884
13 Jul 20262,014
20 Jul 20262,665
27 Jul 20262,811
3 Aug 20262,889
10 Aug 20262,125
17 Aug 20261,916
24 Aug 20262,185
31 Aug 20262,076
7 Sep 20261,764
14 Sep 20261,914
21 Sep 20261,863
28 Sep 20262,161
5 Oct 20262,547

Repeat-purchase behaviour was relatively steady: around 7–9% of first-time buyers returned within four weeks, and 19–23% within twelve. The bigger issue was the size of the incoming cohorts, which had shrunk from roughly 3,500–5,000 new buyers a week in June to around 1,800–2,100 in September.

The follow-up made the priorities more concrete: rebuild the acquisition pipeline, measure the reach of the first-to-second-purchase flow, and evaluate mature cohorts before judging the newest ones.

A quiet issue,
found before it became background noise.

The same review surfaced an operational issue in the checkout lifecycle. Since the September migration, unpaid attempts were appearing as pending rather than failed. From 6 October, the automatic cancellation of unpaid orders stopped.

Checkout follow-upIdentified
1,014

Pending orders more than one day old at the time of the review.

  1. 01
    Separate attempts from payments

    Pending orders had no transaction ID. They were unpaid attempts, not confirmed payments stuck in processing.

  2. 02
    Check the cancellation process

    Review the scheduled job and hold-stock behaviour that previously cleared unpaid orders.

  3. 03
    Reconcile the backlog

    Confirm payment status before clearing stale orders and releasing any reserved stock.

These were findings and recommended actions in the October review. The report does not confirm that the issue had been resolved.

That is the value of connecting the business and operational context: a review of revenue also exposes work that affects the team, inventory and the quality of the underlying data.

From more dashboards
to a more useful next step.

For Valentte, the outcome of the review was a joined-up explanation. Acquisition changes, email activity, storefront performance and checkout operations could be understood as parts of the same business.

01

Explain the movement

Separate channel growth, traffic mix and site changes instead of attributing every change in sales to the latest release.

02

See the delayed effects

Connect today’s acquisition to the subscriber and repeat-customer pipeline it creates.

03

Know what to do next

Turn unclear trends into specific checks on ad spend, campaign tracking, lifecycle flows and unpaid orders.

That week is an observed business result during this period. Urumi’s contribution in this case is the connected analysis that helped the team understand the recovery and prioritise its next decisions.

Book a demo

The detail behind the story.

What period does this case study cover?

The October follow-up prepared for Valentte and Urumi’s 20 October 2026 review. Most underlying data covers 6 April–14 October 2026. The latest complete sales week is 5–11 October; weeks begin Monday in UK time.

How are sales and conversion measured?

Sales use WooCommerce paid order totals, including VAT and shipping, after discounts. Fully refunded orders are excluded; partial refunds, approximately 0.1%, are not deducted. Conversion divides paid orders by Bloomreach tracked sessions, with order timestamps aligned to Bloomreach’s US Pacific day. These gross sales totals are not directly comparable with the earlier review’s net totals.

Did Urumi or the new theme cause the 24% recovery?

The report does not establish that. Paid acquisition, creative activity, social traffic, email flows and the theme changed around the same period. The 24% figure compares the latest full week with the September low. The analysis found no distinct conversion break at the new theme’s launch.

How should the cohort data be read?

Customers are matched by email, including guest checkouts, which can slightly understate repeat purchasing. Recent cohorts have had less time to convert or buy again. The 741 and 756 email-buyer figures refer to subscribers first seen within the preceding 90 days, not the entire email customer base.

Where does the data come from?

WooCommerce orders via Urumi Analytics and Bloomreach Engagement events. Charts on this page reproduce selected values from the Valentte October Review. Rounded estimates are labelled, and pending-order findings are presented as follow-up work rather than completed fixes.