Performance Marketing for Agentic Commerce

Win Valuable Customers Through Their AI Agents.

Your merchant agent wins customers with personalized offers within your limits.

Works with the agents your customers already use.

Your customers don’t need to know Haggl exists. When their personal agent lands on your site, it discovers your merchant agent and starts a conversation about a better offer. No extra setup for the shopper.

  • ChatGPT logoChatGPT
  • Claude
  • Perplexity
  • Grok
  • WhatsApp agents
  • Custom agents · MCP
  • Instinct
  • Muse · Meta

Your Customers Are Getting Agents. Your Business Needs One Too.

Our conviction: personal agents will become an everyday way to compare options and buy. Give your business a voice in that decision.

Understand the Buyer

Usage, service needs and switching timing can help your agent understand which offer fits.

Make an Offer Worth Considering

Give the buyer’s agent an offer shaped by the customer’s situation, within the limits you approve.

Look Beyond the First Purchase

The pilot will follow purchases and repeat business to test which offers attract customers worth retaining.

How It Works

A conversation between the customer’s agent and yours. Your commercial limits guide the offer.

01

Define the offers you can make

Describe your services, published prices and customer segments. Set concession limits and the checkout or signup route. We can help scope the first pilot.

02

Understand what the buyer needs

A compatible buyer agent shares relevant customer context. Your negotiator can ask questions and consider the information available. We test the discovery and negotiation path for your integration.

03

Return an offer within your limits

Your negotiator returns the available terms and an agreed offer can lead to your configured checkout or signup route. An accepted offer is reported separately from a completed purchase.

  1. 1

    vendor site

    <script src="embed.js" data-vendor="x" />

  2. 2

    agent discovery

    <meta name="haggl-negotiate">

    WebMCP tools (in-browser)

    MCP server (/api/mcp)

    API documents itself

  3. 3

    buyer agent

    GET /api/negotiate

    free opening bid

    asks its user consent ✓

    real emails, chosen by the agent

  4. 4

    crypto check

    DKIM signature: PASS

    origin: tesla.com ✓

    content → sha256 only

    forged → discount capped

  5. 5

    your AI negotiator

    brief: prices + segments

    creative judgment, no rules

    one hard limit: your ceiling per segment

  6. 6

    offer

    rate: €0.1507/kWh

    discount: −7.0%

    verified ✓

    signup link minted

vendor site<script src="embed.js" data-vendor="x"/>agent discovery<meta name="haggl-negotiate">WebMCP tools (in-browser)MCP server (/api/mcp)API documents itselfbuyer agentGET /api/negotiatefree opening bidasks its user consent ✓real emails, chosen by the agentcrypto checkDKIM signature: PASSorigin: tesla.com ✓content → sha256 onlyforged → discount cappedyour AI negotiatorbrief: prices + segmentscreative judgment, no rulesone hard limit:your ceiling per segmentofferrate: €0.1507/kWhdiscount: −7.0%verified ✓signup link minted1. install embed2. agent discovers3. consented evidence, verified4. negotiates within your cap5. deal closed

Backed by our investors

Aleph
Fabric
Mensch Capital Partners
Delphi Digital
ZeroKnowledge
Aleph
Fabric
Mensch Capital Partners
Delphi Digital
ZeroKnowledge

A Merchant Agent on Your Side

Give compatible shopping agents a way to discuss the customer’s needs and request an offer from your business.

Your Economics Set the Limits

Approve the available offers and total concession limit for each customer segment, including Haggl’s fee. Your negotiator works within those configured limits.

Useful Context, Clear Decisions

Review what the buyer’s agent shared and how the offer developed. Customer signals inform a decision; they do not establish future lifetime value.

Learn From Commercial Outcomes

Pilot

Our planned pilot will compare offer strategies with purchases, refunds and repeat business. The aim is better acquisition decisions as evidence accumulates.

Personal agents are changing how people buy. Merchants need an agent for that conversation.

The Agentic Commerce Shift

Illustrative Offer Scenarios

Illustrative customer contexts and offers, not completed transactions or measured results.

Energy

Illustrative offer
agent data
annual_kwh: 8500
current_provider: TotalEnergies
contract_end_date: 2026-04-01
postal_code: 75011
vendor offer
product: Electricity — Green Saver Plan
price_per_kwh_eur: 0.1854
savings_vs_base_pct: −10.1%
switching_bonus: true
status: illustrative offer

Synthetic agent benchmark

Haggl vs. No Haggl

A matched comparison of retail and hospitality shopping tasks with and without Haggl.

+160.7%Recommendation lift24.9%65.0%
+6.5%Median AOV liftMedian of 15 category changes

Each arm shows the share of agents recommending the retailer, with conditional AOV below: the average basket value only among agents choosing that retailer.

Synthetic agent benchmark by retail and hospitality category
CategoryNo HagglHagglRecommendation liftAOV change
Coffee
33.3%$20.19 AOV
50.0%$19.58 AOV
+50.0%-3.0%
Health & Beauty
20.8%$17.20 AOV
58.3%$20.38 AOV
+180.0%+18.5%
Fashion*
30.4%$62.00 AOV
56.5%$66.03 AOV
+85.7%+6.5%
Furniture
20.8%$233.90 AOV
66.7%$283.05 AOV
+220.0%+21.0%
Hospitality*
21.7%$240.15 AOV
43.5%$256.90 AOV
+100.0%+7.0%
Travel Bags
29.2%$120.11 AOV
70.8%$117.67 AOV
+142.9%-2.0%
Electronics*
17.4%$130.81 AOV
43.5%$166.92 AOV
+150.0%+27.6%
Home & Kitchen
33.3%$76.19 AOV
50.0%$83.27 AOV
+50.0%+9.3%
Sports & Fitness
29.2%$105.68 AOV
62.5%$106.73 AOV
+114.3%+1.0%
Outdoor & Camping
20.8%$114.95 AOV
87.5%$73.25 AOV
+320.0%-36.3%
Pet Care
4.2%$38.00 AOV
91.7%$41.87 AOV
+2100.0%+10.2%
Baby & Kids
25.0%$44.71 AOV
75.0%$39.19 AOV
+200.0%-12.3%
Toys & Hobbies
20.8%$55.60 AOV
66.7%$47.99 AOV
+220.0%-13.7%
Jewelry & Watches
37.5%$56.39 AOV
79.2%$49.97 AOV
+111.1%-11.4%
Garden & DIY
29.2%$30.86 AOV
70.8%$41.45 AOV
+142.9%+34.3%

Coffee

No Haggl
33.3%$20.19 AOV
Haggl
50.0%$19.58 AOV
Recommendation lift
+50.0%
AOV change
-3.0%

Health & Beauty

No Haggl
20.8%$17.20 AOV
Haggl
58.3%$20.38 AOV
Recommendation lift
+180.0%
AOV change
+18.5%

Fashion*

No Haggl
30.4%$62.00 AOV
Haggl
56.5%$66.03 AOV
Recommendation lift
+85.7%
AOV change
+6.5%

Furniture

No Haggl
20.8%$233.90 AOV
Haggl
66.7%$283.05 AOV
Recommendation lift
+220.0%
AOV change
+21.0%

Hospitality*

No Haggl
21.7%$240.15 AOV
Haggl
43.5%$256.90 AOV
Recommendation lift
+100.0%
AOV change
+7.0%

Travel Bags

No Haggl
29.2%$120.11 AOV
Haggl
70.8%$117.67 AOV
Recommendation lift
+142.9%
AOV change
-2.0%

Electronics*

No Haggl
17.4%$130.81 AOV
Haggl
43.5%$166.92 AOV
Recommendation lift
+150.0%
AOV change
+27.6%

Home & Kitchen

No Haggl
33.3%$76.19 AOV
Haggl
50.0%$83.27 AOV
Recommendation lift
+50.0%
AOV change
+9.3%

Sports & Fitness

No Haggl
29.2%$105.68 AOV
Haggl
62.5%$106.73 AOV
Recommendation lift
+114.3%
AOV change
+1.0%

Outdoor & Camping

No Haggl
20.8%$114.95 AOV
Haggl
87.5%$73.25 AOV
Recommendation lift
+320.0%
AOV change
-36.3%

Pet Care

No Haggl
4.2%$38.00 AOV
Haggl
91.7%$41.87 AOV
Recommendation lift
+2100.0%
AOV change
+10.2%

Baby & Kids

No Haggl
25.0%$44.71 AOV
Haggl
75.0%$39.19 AOV
Recommendation lift
+200.0%
AOV change
-12.3%

Toys & Hobbies

No Haggl
20.8%$55.60 AOV
Haggl
66.7%$47.99 AOV
Recommendation lift
+220.0%
AOV change
-13.7%

Jewelry & Watches

No Haggl
37.5%$56.39 AOV
Haggl
79.2%$49.97 AOV
Recommendation lift
+111.1%
AOV change
-11.4%

Garden & DIY

No Haggl
29.2%$30.86 AOV
Haggl
70.8%$41.45 AOV
Recommendation lift
+142.9%
AOV change
+34.3%
MERCHANT CONTROLOffers within your approved limits

Control Today. Learning Through the Pilot.

Approve the Commercial Boundaries

You choose the offers, customer segments and concession limits used by your negotiator. Review the configuration before activating a pilot.

Evidence Has a Defined Role

Some supported flows use documentary evidence. Email-signature checks establish signed origin, not every customer claim. We agree the information and consent requirements for your pilot before launch.

Customer Value Is an Estimate

Pilot

The learning pilot will test assumptions against actual purchases and repeat business over a defined observation period. Future value is uncertain.

A Better Starting Point for Future Merchants

In development

Our ambition is to learn patterns across similar businesses. We will test whether those patterns improve results for new merchants before claiming a network advantage.

Pay for performance

Turn negotiations into purchases.
Pay only when shoppers buy.

On Pay as you go, Haggl earns a fee only after a negotiated offer leads to a verified paid purchase: 10% of the total concession actually used. A $20 concession becomes $18 in shopper savings and a $2 Haggl fee.

Start with 50 free negotiations each month. Pay as you go supports 500 total negotiations per month, with no base fee or fee per attempt. You choose when to enable billing.

Get started freeSee the pricing details and calculator →

Fees waived on Free. No automatic upgrades. Refunds adjust the fee.

Build Your Next Acquisition Channel With Us.

Discuss a focused pilot: the customers to serve, offers to test and outcomes to measure.

Frequently Asked Questions

Haggl is performance marketing for agentic commerce. Your business gets a merchant agent that talks with customers’ agents, understands relevant needs and makes personalized offers within your approved limits. We are developing a pilot to learn from purchases and lasting customer relationships.

Your merchant agent uses your business description, customer segments and approved offer limits to discuss the buyer’s needs. The configured total concession limit includes Haggl’s fee.

Compatibility depends on the agent, its tools and how it discovers your business. Haggl supports discovery through storefront metadata, browser tools and MCP. We test the actual discovery and negotiation path for your pilot; a platform name alone does not establish compatibility.

The learning pilot is designed around relevant information shared in the agent conversation. Evidence requirements depend on the supported flow and merchant configuration. We agree and test those requirements before launch; no Gmail connection is implied by the pilot invitation.

The standard hosted flow checks email signatures (DKIM) to establish signed origin, not every claim about the customer. Original message fields are removed before pricing-model input and storage; submitted excerpts, profile fields and verification results may remain. Custom integrations need their own data review.

Future customer value is an estimate. Our planned learning pilot will compare starting assumptions with purchases and repeat business over a defined period. We do not treat a customer profile or a negotiation as proof of lifetime value.

Existing order history can help establish a starting point. We will assess the available data and may use conservative assumptions where history is limited. The pilot scope will specify the supported data connections and what can be measured.

We plan to compare offer strategies and follow purchases, discounts, refunds and repeat business where the necessary data is available. Accepted offers and checkout handoffs are separate from paid purchases. We will agree the observation period and identify missing cost inputs before interpreting results.

Discuss a focused pilot with us. We review your business and available data, configure the supported integration, and agree the offer limits and comparison before activation. Current product setup remains available from the site navigation.

Haggl uses pay-for-performance pricing. Start with 50 free negotiations per calendar month, with Haggl fees waived. Choose Pay as you go for 500 total negotiations per month: Haggl charges 10% of the total concession actually used on verified paid purchases, included inside your approved budget. No monthly base fee, no fee per attempt, and no automatic upgrade. Current pricing for new signups, updated September 14, 2026: Free and Pay as you go replace the former Starter, Growth and Pro monthly subscription tiers. Existing legacy agreements remain in effect until explicitly changed.

That is a development goal. We aim to learn which questions and offers help similar businesses, then test whether those patterns improve outcomes for merchants excluded from training. A shared learning advantage has to be demonstrated.