GRUBE Unlocks Real-Time Engagement and Boosts ROAS by 70% With Loomi AI

Industry: Retail


GRUBE is a leading family-owned German retailer specializing in forestry, hunting, horticulture, and outdoor products.

With over 10,000 tools and pieces of equipment on offer, the brand serves professionals and enthusiasts across 10 European countries.

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Products

70
%
lift in ROAS
from precision-targeted catalog distribution
50
%
cost reduction
for print catalogs while maintaining revenue
20
%
decrease in unsubscribes
with personalized email newsletters
8
%
lift in revenue
across email, print, and on-site over four months

Challenge

With thousands of products and a diverse, specialized customer base, relevance wasn’t a nice-to-have for GRUBE — it was essential. But siloed data and static segments made marketing campaigns too generic to speak to any audience meaningfully.

  • Broad audiences couldn’t address specific needs — A hunter receiving forestry content, or vice versa, eroded trust and drove unsubscribes.
  • Batch-and-blast campaigns created more noise than engagement — Generic newsletters sent the same content blocks to everyone, creating fatigue, wasted impressions, and opt-outs among GRUBE’s most valuable specialist customers.
  • Print catalog distribution had no targeting logic — GRUBE’s specialist print catalogs were historically crucial for sales but costly to print and mail. Distributing them broadly meant significant budget waste on low-interest recipients.
  • Static segments couldn’t keep pace with shifting interests — Blanket labels like “forestry” or “hunting” couldn’t reflect how customer interests evolve over time, leaving GRUBE reacting to stale signals rather than current intent.

Solution

GRUBE adopted Bloomreach’s agentic personalization platform, Loomi AI, to understand and act on customer behavior — replacing static segments with a real-time picture of each customer’s unique wants and needs. 

Loomi AI serves as the intelligence layer behind every customer interaction, powering a dynamic, behavior-based interest scoring model that translates individual shopping signals into personalized email campaigns, triggered customer journeys, and precision-targeted print catalog distribution.

Individual interest profiles = a real-time understanding of each customer. Rather than assigning customers to broad segments, GRUBE leveraged Loomi AI to build individual interest profiles from a shopper’s behavior — searches, product clicks, purchases, campaign interactions, and more. Each customer receives interest scores per topic (e.g., hunting, forestry, outdoor apparel), updated continuously as behavior evolves. 

Behavior-triggered communication = engagement when interest is high. When a customer’s interest score in a specific category passes a defined threshold, Loomi AI automatically triggers the right campaign: a category-specific email, an on-site message, or a timely offer while interest is still active. GRUBE no longer waits for the next scheduled send to act on real-time signals.

Print catalog optimization = less print volume, more revenue. GRUBE used interest scores to redesign how its specialist print catalogs are distributed — only customers with sufficiently high, relevant scores receive a given edition, while low-interest recipients are excluded or receive a lighter format.

How It Works

  1. Customer browses GRUBE’s site → searches, clicks, category views, and product interactions are captured as behavioral signals by Loomi AI.
  2. Signals are weighted and scored → purchases and wishlist additions carry more weight than casual category visits; recent behavior scores higher than older interactions.
  3. Interest scores update continuously → each customer interaction builds an evolving profile across topics (hunting, forestry, outdoor), reflecting current intent.
  4. Score crosses a threshold → Loomi AI triggers targeted action: a personalized newsletter with category-relevant content blocks, a follow-up email, or an onsite message.
  5. Print distribution is scored → before each catalog mailing, GRUBE filters recipients by interest score — only high-relevance customers receive specialist editions, reducing waste and protecting margins.
  6. Results feed back into scoring → engagement, purchases, and opt-out signals refine the model continuously, improving precision over time.
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Loomi AI changed how we think about our customer communications. Instead of fixed segments, we now have individual profiles that update in real time. It gives us the precision to act on customer behavior across all our channels.

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Alexander Zindler

CMO at GRUBE

Results

By replacing static segmentation with a behavior-based interest model powered by Loomi AI, GRUBE achieved efficiency gains across every channel it activated — email, print, and on-site — within four months of rollout.

  • 70% lift in print ROAS. Sending fewer, targeted catalogs means every euro invested in print now delivers significantly more revenue — turning an expensive legacy channel into a precision revenue driver.
  • 50% reduction in catalog circulation with no loss in print revenue. Interest scoring eliminated low-probability recipients from specialist catalog mailings, halving print and mailing costs while maintaining overall sales from print.
  • 20% decrease in newsletter unsubscribe rate. Replacing one-size-fits-all newsletters with dynamic, interest-aligned content reduced opt-outs among GRUBE’s specialist audiences.
  • +8% sustained revenue trend over four months. More efficient targeting and higher engagement across email, print, and on-site activation drove a measurable and sustained uplift in overall revenue.

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