RESEARCH // WHILTER LABS

The lab notebook.

Playbooks, benchmarks, and architecture for AI-native marketing — written from the engine, not about it.

What does Whilter research?

Builder-facing research on AI-native marketing — the operating model, keeping generative models on-brand, and why the loop compounds. Our POV essays sit alongside.

MethodologyEvery piece is written from the engine we run — production architecture, measured benchmarks, live accounts.
The index
R-01

AI Marketing Tools for Travel Booking and Loyalty Messages

Travel brands personalize booking and loyalty messages by generating each one from the traveller's own trip data and keeping one conversation per guest.

travel marketinghospitalityloyaltypersonalized videoSnypeKonne CX
2026-10-14
R-02

AI Platforms for ABM Personalization in B2B SaaS

B2B SaaS teams personalize ABM with a stack: data to choose the accounts and AI production to make each account's creative. Whilter covers production.

account-based marketingABMB2B SaaSpersonalizationElevateOS
2026-10-14
R-03

Connecting Paid Acquisition, Conversations and Retention

Platforms that connect acquisition, conversations and retention run all three on one customer context, so what the ad learned reaches every later message.

marketing platformcustomer journeyretention marketingconversational marketingElevateOSKonne CX
2026-10-14
R-04

How QSR Brands Keep Promotional Creative Fresh and Local

QSR brands keep promo creative fresh and local by locking brand rules once and generating variants per region, daypart and offer on a short cycle.

QSR marketinglimited-time offerslocalized creativeElevateOSrestaurant marketing
2026-10-14
R-05

How Brands Track Their Visibility in AI Answers

Brands track AI visibility by asking ChatGPT, AI Overviews, Gemini and Perplexity their buyers' questions on a schedule and measuring four metrics.

AEOGEOAI searchbrand visibilityCiteOS
2026-10-14
R-06

What to Evaluate in an Enterprise AI Marketing Platform

Evaluate an enterprise AI marketing platform on brand control, proof quality, data and security, human control, time to live and cost model.

enterprise marketingAI marketing platformvendor evaluationbrand compliancemarketing operations
2026-10-14
R-07

How E-commerce Brands Grow Repeat Orders and Basket Size

E-commerce brands grow repeat orders and basket size by timing retention to each cohort's rhythm and matching offers to what each cohort buys.

ecommerce retentionrepeat purchasebasket sizecohort marketingSnypeKonne CX
2026-10-14
R-08

Personalizing Product Imagery Across Thousands of SKUs

Retailers personalize product imagery across thousands of SKUs by generating each image from the live catalogue and each shopper's own data.

product imageryecommerceretailpersonalizationSnypecatalog marketing
2026-10-14
R-09

Personalized, Compliant Insurance Marketing in Many Languages

Insurers personalize compliant marketing in many languages by fixing the regulated core of each message and generating the rest per customer.

BFSIinsurance marketingcompliancelocalizationfirst-party dataSnype
2026-10-14
R-10

A Six-Step Playbook for Personalized Video at Scale

Run personalized video at scale in six steps: one moment, the right fields, clean data, one template, the right channel, and measurement.

personalized videofirst-party dataSnypevideo marketingcustomer retention
2026-10-14
R-11

How to Reduce Creative Fatigue in Meta and Google Ads

Brands reduce creative fatigue by generating on-brand variants continuously, testing each against the control and refreshing before results drop.

creative fatiguepaid socialMeta adsGoogle AdsElevateOSperformance creative
2026-10-14
R-12

Replacing Fragmented Agencies and Tools With One Platform

Brands consolidate agencies and tools by moving one motion at a time onto a connected platform, keeping their people and retiring the hand-offs.

marketing operationsagency consolidationmartech stackconnected platformElevateOS
2026-10-14
R-13

Whilter vs Infobip for Enterprise Customer Engagement

Infobip is a broad omnichannel engagement platform. Whilter is a marketing engine whose Konne CX runs conversations beside its ad and video engines.

InfobipKonne CXcustomer engagementomnichannelcomparison
2026-10-14
R-14

Whilter vs Sinch for Conversational Marketing

Sinch is communications infrastructure with marketing apps on top. Whilter is a marketing engine whose Konne CX runs AI and human conversations.

SinchKonne CXconversational marketingWhatsApp marketingcomparison
2026-10-14
R-15

Whilter vs Smartly for AI-Powered Advertising

Smartly is an AI advertising platform across many ad channels. Whilter's ElevateOS covers ad creative and launch inside a wider marketing engine.

SmartlyElevateOSAI advertisingperformance marketingcomparison
2026-10-14
R-16

How Marketing Teams Prove ROI From AI-Generated Creative

Marketing teams prove ROI from AI-generated creative with head-to-head tests against existing creative, matched spend, and the right metric at each layer.

roimeasurementai-generated-creativeperformance-marketingincrementality
2026-10-06
R-17

One Guest Conversation Across WhatsApp, Web Chat and Voice

How hospitality brands keep one guest conversation across WhatsApp, Instagram, web chat and voice, with AI and human agents sharing one context.

hospitalitycustomer-engagementomnichannelwhatsapphuman-handoffkonne-cx
2026-10-06
R-18

How Brands Scale Personalized Video With First-Party Data

How brands scale personalized video with first-party customer data: one template, a customer table, and delivery on WhatsApp, email, apps and RCS.

personalized-videofirst-party-datapersonalizationsnypeomnichannel
2026-10-22
R-19

How Fashion Retailers Offer Virtual Try-On on WhatsApp

How fashion retailers run virtual try-on inside WhatsApp, the flow step by step, and what W for Woman got: a 4× engagement uplift and 65% WhatsApp engagement.

virtual-try-onwhatsappfashion-retailconversational-commercesnype
2026-10-06
R-20

Personalized, Compliant Marketing at Scale

How brands run personalization across channels and languages without losing brand control or regulatory compliance — the operating model, the failure points, and what it looks like in production.

personalizationcomplianceoperating-modelmultilingual
2026-09-08
R-22

Strategic Thinking in Vision Models

What multimodal models can reason about in creative and competitor analysis — and where they still need a human.

vision-modelsmultimodalcreative-analysis
2026-05-27
R-23

Monolith vs Agentic Systems

Why marketing software is moving from one monolithic platform to a system of specialised agents — and what changes for the buyer.

architectureagentssystems
2026-05-06
R-24

How to Make an LLM Focus

Generative models drift without constraints. The context-engineering and brand-DNA techniques that keep output on-task and on-brand.

llmcontext-engineeringbrand-dna
2026-04-15
R-25

Benchmarking Brand Compliance

How to measure whether AI output is actually on-brand — a benchmark and a method, not a vibe.

brand-complianceevaluation
2026-03-24
R-26

The AI-Native Marketing Playbook

What marketing looks like when AI is the substrate, not a bolt-on — the operating model, not the tool list.

ai-nativeoperating-modelplaybook
2026-02-18

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