afaqs! Challenger Brands- Omnichannel Marketing Bridging Online and Offline Worlds

Omnichannel marketing: seamless experience as the core

• The video opens with a personal shopping story:
  • Seeing an ad for a dress online
  • Checking the fit in a physical store
  • Using a discount via shopping apps
  • Completing the purchase
• This is used to illustrate omnichannel marketing: the same customer journey continues across both online and offline touchpoints.
• Core premise: customers don’t live as “online-only” or “offline-only.” Their journey changes based on:
  • need
  • context
  • time
• Brands must therefore build personalization and marketing around the whole customer, not in silos.

Business strategies and execution approaches mentioned

1) Build a funnel: digital discovery → app/web → physical store conversion

Mudunico / brand panelist (Anjit) describes an execution model:

• Use traditional and digital media to target and move shoppers into app/web
• Then guide shoppers into physical branches
  • The model references ~4,000 physical presence points across brands/locations
• Reported results over the last 6 months:
  • Customers in stores are more informed
  • Faster purchase decisions
  • Customers walk out quicker

2) Central customer view + personalized offers across touchpoints

Arjun emphasizes a key omnichannel lesson from years of growth:

• Build marketing, personalization, and offers based on overall customer behavior
• Do this regardless of where the interaction begins (online or offline)
• Operate with a central customer view
  • Coordinate loyalty programs and customer experience accordingly

It’s framed as “marrying”:

• D2C/ecommerce tactics with retail presence
• and vice-versa for retailers adding digital

3) Omnichannel isn’t “multi-distribution”—it’s unified storytelling and consistency

A panelist argues that omnichannel in India is sometimes “abused” as a buzzword (e.g., multiple versions/experiences).

True omnichannel is described as:

• Following customer touchpoints
• Ensuring the same memorability and narrative across channels
• Training that is “inside-out” (storytelling consistency at the frontline—see staff section below)

4) Staff/floor experience as a critical control mechanism

Retail is described as micro, not macro—on-ground execution determines impact.

Instead of only “training staff,” panelists stress staff should be able to:

• Know the product
• Know the story/narrative
• Serve as champions so customers receive consistent guidance across:
  • cities
  • shops
• Example idea: the same product guidance with consistent “tonality/story” (even if not identical language), e.g., “Amad vs Bangalore.”

5) Use the right channel for the right audience moment (not “more data” first)

While data matters, the stronger prerequisite is understanding:

• who the customer is
• what purpose they’re using each channel for

Channel context by generation:

• Gen Z online: social/entertainment + brand research
  • not a place to aggressively “bombard” with campaigns
• Offline: can capture attention more effectively
  • examples mentioned include cheeky billboards from brands like Zomato, Blinket, Zepto that get screenshot/shared online

Creative effectiveness principle:

• People may not remember the design, but they remember how the ad made them feel
• That “feel” should carry through store experience and social ads

6) Focus + clarity + message consistency to cut through clutter

Panelists argue digital is cluttered (likened to brands “selling insurance”).

Recommended discipline:

• Create focus
  • translate top messaging priorities to retail frontline
• Use a rule of three
  • consistently communicate “three things” across channels
• Ensure customers feel the same brand story regardless of whether they discover online or offline

7) Audience cohorting (dynamic segmentation) for targeting and personalization

Cohorting is framed as increasingly important because behaviors overlap.

Example concepts mentioned:

• a “spice customer” vs an “innovative pallet”
• day-of-life patterns (e.g., evening snack preferences)

Execution approach:

• Build cohorts/clones based on consumption patterns and preferences
• Target those cohorts
• Mentioned enabling techniques:
  • AI/tools
  • in-house builds for targeting and prediction

Claimed benefit:

• More intuitive/preemptive marketing (less “waiting and watching”)
• Better targeting → improved success rates (no numeric figures provided)

Measurement / KPIs / attribution approach

• Attribution challenge: omnichannel introduces misattribution risk in multi-channel attribution models.
• Recommended measurement: focus on output uplift rather than short-term “campaign credit,” such as:
  • same-user level uplift
  • overall business uplift
• Time horizons:
  • some effects may appear in 1–3 months
  • but omnichannel should generally be evaluated over 6–12 months
• Also consider cannibalization vs organic uplift:
  • a channel’s “incremental revenue” might be cannibalization of other channels

Personalization tactics described (what to do with data/cohorts)

Personalization is framed as mature (tools exist), but execution should be cohort-driven:

• Identify consumers via:
  • phone numbers
  • names
  • unique IDs
• Build cohorts
  • example mention: ~65 cohorts for different personas (with alignment to shared traits at deeper levels)
• Run cohort-based personalization campaigns using available tools

Expected outcomes:

• More immediate response
• Better conversion rate / CDR
• More nuanced/engaged response
• Final responsibility: “product and service will really need to speak to the consumer.”

Key metrics / explicit figures mentioned

• ~4,000 physical presence points supporting store conversion
• Results over last 6 months:
  • more informed store customers
  • faster decisions
  • quicker store walk-outs
• Personalization example: ~65 cohorts
• Evaluation timeline:
  • omnichannel measured over 6–12 months
  • with some impacts potentially in 1–3 months

Concrete actionable takeaways (implied playbook)

• Build a customer journey pipeline:
  • Target digitally → move to app/web → convert in store
• Create a single customer view and coordinate marketing/loyalty around it
• Ensure story/narrative consistency across channels and geographies:
  • staff should own product + narrative consistency (frontline matters more than formal training)
• Reduce ambiguity in ads:
  • avoid using one banner to cover incompatible product needs (example: mixing multiple product types into one generic banner)
• Implement measurement focused on:
  • incremental uplift at the same user level
  • overall business uplift
  • not last-click attribution
• Use cohorting plus AI/tools to improve targeting and personalization
• Maintain focus/clarity/consistency (e.g., “rule of three” messaging) to overcome clutter

Presenters / sources mentioned

• Anjit: omnichannel funnel via app/web → branches; referenced ~4,000 physical presence points
• Arjun: emphasized customers not being in online/offline silos; central customer view
• Anit: discussed personalization, cohorts, and staff story consistency
• Another panelist (subtitles show “Jenni/Deii/Dan/i”): contributed to discussions on narrative, frontline execution, and data vs audience purpose (exact name unclear due to subtitle errors)
• Video source/context:
  • afaqs! (as referenced in the title)
  • “michy research” claim: “more than half of B2c customers engage with 3 to 5 channels per purchase.”