Updated At Mar 24, 2026

For Indian retail & D2C leaders DPDP Act 2023 18 min read
Abandoned Carts vs Purpose Limitation: What Retail Teams Need to Know
How Indian retail and D2C leaders can redesign cart recovery journeys to grow first-party data without creating DPDP Act risk.

Key takeaways

  • Under the DPDP Act, abandoned cart journeys are regulated processing of digital personal data, not just harmless reminders.
  • Purpose limitation is the key design lens: every cart, browse, and messaging touchpoint must map to a clear, specified purpose.
  • Most DPDP risk comes from purpose creep—reusing cart and behavioural data for broader marketing or profiling without proper consent.
  • Retailers need a consent and preference architecture that separates core service flows from cart recovery, marketing, and analytics uses.
  • Done well, DPDP-compliant first-party programs can protect revenue, unlock more durable consented audiences, and reduce regulatory and reputational risk.

Why abandoned cart journeys are now a DPDP compliance issue for Indian retail

For most Indian retail and D2C teams, abandoned cart journeys started life as pure growth levers: quick wins to recover revenue from shoppers who dropped off at checkout. The logic was simple—if someone gave you their email or mobile number, nudging them to finish a purchase felt harmless and low-risk.The Digital Personal Data Protection (DPDP) Act changes that equation. Cart recovery flows now sit squarely in the world of regulated personal data processing, with explicit obligations around consent, specified purpose, data minimisation, retention, and accountability. They have become board-level topics because they combine high volumes of identifiable data, visible customer touchpoints, and complex third-party martech stacks.
  • Cart and behavioural data is rich and often directly linkable to named individuals, increasing the impact of any misuse or breach.
  • Abandoned cart campaigns typically touch multiple channels—email, SMS, WhatsApp, app push—and therefore multiple vendors and cross-border data flows.
  • Legacy setups often rely on bundled consent, opaque notices, and long retention windows that are misaligned with DPDP principles.
  • Regulators, consumer groups, and large platforms are increasingly sensitive to dark patterns and aggressive remarketing, making abandoned carts an obvious area for scrutiny.
  • At the same time, first-party data is becoming strategically critical as third-party cookies and device identifiers lose reliability, so simply turning off cart journeys is not an option.

Translating DPDP concepts into retail language

Before redesigning abandoned cart flows, it helps to translate DPDP concepts into day-to-day retail terms. The Act treats your company (or the brand you operate) as a “data fiduciary” that determines why and how personal data is processed, and your customers as “data principals” whose digital personal data you handle. Processing must be for a lawful purpose and based either on valid consent or specific legitimate uses set out in the law.[2]
DPDP and its Rules emphasise core principles including purpose limitation and data minimisation. In practice, this means you must clearly specify why you collect each piece of data, limit collection and use to what is necessary for that stated purpose, and avoid repurposing the same data for unrelated goals without fresh, appropriate consent.[3]
Key DPDP concepts explained with retail and D2C examples.
DPDP term What it means in simple language Retail / D2C example
Data principal The individual whose personal data you process. A shopper browsing your site or app, whether logged-in or guest, whose cart you track and message later.
Data fiduciary The organisation that decides why and how personal data is processed. Your retail or D2C brand controlling the ecommerce site, app, CRM, and automation tools that run abandoned cart journeys.
Digital personal data Any digital information about an identifiable person, or data that can be digitised and linked back to them. Email, phone, device IDs, cookies, cart contents linked to a profile, and clickstream data used to trigger reminders or offers.
Specified purpose The concrete, clearly described reason why you collect and use the data. “To process your order and provide delivery updates” vs “to send you cart reminders and personalised offers by email and WhatsApp.”
Purpose limitation You must not use personal data in ways that are incompatible with the specified purpose you shared with the individual. Collecting a phone number to send OTPs and then using it for promotional cart SMS without clearly obtained marketing consent.
Data minimisation Collect and retain only the data that is genuinely necessary for the stated purpose, and for no longer than needed. Storing just product IDs and value needed for a one-off reminder, instead of full clickstream history forever, for cart recovery campaigns.
Consent A free, specific, informed, and unambiguous indication of the data principal’s wishes, given by a clear affirmative action and easily withdrawable. A separate unticked checkbox or toggle saying “Send me cart reminders and personalised offers by email and SMS”, with the ability to later opt out from a preference centre or message link.
Consent manager An entity that can manage and communicate users’ consents on their behalf, subject to registration and obligations under DPDP. A third-party service or platform that captures, stores, and transmits users’ consent and preferences across your digital journeys, including cart recovery flows.

Mapping a typical abandoned cart journey against DPDP purposes

Use this simplified journey as a template to map every data touchpoint in your own web and app flows.
  1. Browse and add items to cart
    The user views products, adds them to cart, and may be logged-in or browsing as a guest. You typically collect device identifiers, cookies, cart contents, timestamps, and sometimes location or referral data.
    • Specified purpose should focus on providing the shopping session and remembering the cart while the user browses or returns shortly.
    • Using the same data later for broader profiling or cross-channel marketing requires that those additional purposes be clearly disclosed and consented to, not silently implied by browsing alone.
  2. Start checkout and capture identity data
    The user enters name, email, phone, shipping address, and maybe creates an account. This is often the first point where you can directly link the cart to a known individual.
    • The primary purpose is to process the order and provide pre- and post-purchase service (order confirmations, delivery updates, support).
    • If you want to reuse these identifiers for abandoned cart nudges or ongoing marketing, that must be clearly separated from core service purposes in your notice and consent copy.
  3. User abandons before payment or confirmation
    The user closes the tab, switches apps, or simply goes idle. Technically the transaction has not been completed, but you still hold their identifiers and cart data.
    • From a purpose-limitation angle, continuing to process this data is only justifiable if it is within what you originally disclosed (e.g., “sending reminders to help you complete your purchase”).
    • If your only stated purpose was order fulfilment, treating an incomplete cart as a licence for promotional follow-up is higher-risk and may require separate consent.
  4. Trigger abandoned cart messages across channels
    Your marketing automation or CRM system sends reminders via email, SMS, WhatsApp, or app push based on cart content, value, and time-since-abandonment rules.
    • Messages that simply help the user resume the same transaction, without discounts or cross-sell, may be closer to service communications—but they still involve using personal data and need to align with your disclosed purpose and channel permissions.
    • Messages that include offers, recommendations, or broader promotions are clearly marketing and should rely on explicit, revocable marketing consent for the relevant channel.
  5. Extend cart data into broader marketing and analytics
    Teams often feed cart and behavioural data into CDPs, ad platforms, and analytics tools to build segments, create lookalikes, or personalise future campaigns beyond the original cart window.
    • This is the classic point where purpose creep appears: data gathered for a narrow transactional intent now fuels long-term profiling and acquisition campaigns.
    • To keep DPDP risk low, treat these downstream uses as separate purposes that require their own consent signals and retention rules, rather than silently extending the cart purpose.
  6. Retention, deletion, and reporting
    Finally, the data is either converted into longer-term customer records, pseudo-anonymised for analytics, or left to accumulate indefinitely in logs and backups.
    • DPDP-aligned practice means setting explicit retention schedules for cart and behavioural data, with deletion or de-identification after the cart purpose is exhausted or consent is withdrawn.
    • Treat “indefinite retention just in case” as a red flag in your design reviews, especially where data is exportable to third-party tools.
Instead of debating whether a specific cart message is “transactional” or “promotional”, many Indian retailers are adopting a risk-based practice: treat any nudge that includes offers, urgency, or cross-sell as marketing, and obtain clear, auditable consent for it. This makes purpose-limitation reviews far simpler and more defensible.
Risk-based view of abandoned cart touchpoints and their dominant purposes.
Touchpoint Typical content Dominant purpose (service vs marketing) Risk if sent without explicit marketing consent (indicative, not legal advice)
Order confirmation email/SMS (post-purchase, not abandoned cart) “Thanks for your order. Here is your receipt and tracking link.” Service / contractual necessity (fulfilling the transaction). Low, provided content is limited to servicing the order and aligns with checkout notice copy.
Single cart reminder without incentives (email or in-app push within a short window) “You left these items in your cart. Pick up where you left off.” Deep link back to cart; no discount or cross-sell. Blended: helps complete an initiated transaction but also nudges purchase. Often treated as lower-intensity marketing. Medium, especially if you did not clearly say at checkout that you would send such reminders on that channel.
Cart reminder with discount or cross-sell (email/SMS/WhatsApp/push) “Complete your purchase in the next 24 hours and get 10% off. You may also like…” with additional product suggestions or category links. Marketing and profiling, not just transaction completion. High, if you rely only on generic terms of use or service justifications without explicit marketing consent for that channel.
Sequenced cart campaigns and win-back journeys (multiple touches over days/weeks) Drip series with reminders, offers, recommendations, and broader category promotions based on browsing and past purchases. Ongoing marketing and profiling using cart data as a trigger signal, well beyond the immediate transaction window. High, unless clearly covered by explicit, time-bounded marketing consent with clear withdrawal options.
Ad retargeting using cart and behavioural data (on-platform or via third parties) Dynamic ads showing the same or related products on social platforms or publisher sites, based on cart abandonment and browsing behaviour. Marketing, profiling, and potentially cross-border data sharing and enrichment. High, especially if users were not told their cart data would be shared with specific ad partners or used for lookalike modelling.

Where DPDP risk hides in current abandoned cart setups

Many Indian retailers have layered cart recovery journeys on top of legacy consent models and privacy notices that were never designed with DPDP in mind. Legal analyses of the Act stress that organisations must provide clear notices, obtain informed consent, and respect principles like purpose limitation and data minimisation. When those principles meet aggressive growth experiments, subtle design shortcuts can turn into real regulatory exposure.[4]
  • Bundled consent and dark patterns at checkout: Single, all-purpose statements such as “By continuing you agree to our terms and to receive communications from us” are increasingly out of line with policy direction, which favours separate, purpose-specific consents with auditable records rather than bundled, take-it-or-leave-it permissions.[5]
  • Vague or overly broad purpose statements: Notices that say “we use your information to provide and improve our services” but do not mention cart reminders, personalised offers, or ad retargeting leave a gap between what customers expect and what actually happens.
  • Using service data for new marketing use cases: Phone numbers collected purely for OTP or delivery updates are often re-used for cart SMS or WhatsApp promotions without a clear, prior marketing opt-in.
  • Long or indefinite retention of cart and behavioural data: Keeping detailed cart logs for years “for analytics” without clear justification or deletion policies goes against the spirit of data minimisation and storage limitation, and can amplify the impact of any breach or misuse.
  • Aggressive enrichment and cross-channel profiling: Combining cart events with CRM history, offline data, and third-party sources to create very granular profiles and lookalikes may significantly exceed what the shopper reasonably understood when they abandoned a single cart.
  • Third-party and cross-border martech chains: Cart data is frequently pushed into email service providers, SMS gateways, CDPs, analytics tools, and ad platforms operating from outside India, raising questions about contractual controls, security, and cross-border transfer governance under DPDP.
  • Penalty and enforcement exposure: The DPDP framework empowers the Data Protection Board to impose substantial monetary penalties for non-compliance with obligations related to security, consent, and core principles like purpose limitation and data minimisation, making high-volume marketing programs like abandoned cart journeys obvious candidates for scrutiny.[3]
The core design challenge is to separate what is essential for providing your service (e.g., processing an order, sending delivery updates) from what is optional (e.g., cart reminders, cross-sell offers, long-term profiling). DPDP expects consent to be free, specific, informed, and unambiguous, with an easy way to withdraw it, so your consent and notice patterns should reflect that without hiding behind legalese.
A practical checklist for redesigning abandoned cart consent and notices in Indian retail and D2C stacks:
  1. Inventory where you collect identifiers used in cart journeys
    List every place where you capture email addresses, phone numbers, and device IDs that feed abandoned cart flows: registration forms, guest checkout, payment pages, app install prompts, website pop-ups, in-store sign-up forms, and more.
    • Capture screenshots and current copy for each point so legal and product can see the actual user experience, not just back-end settings.
    • Mark which fields are mandatory for core service vs optional for marketing or cart recovery.
  2. Separate core service and marketing purposes in the UI and copy
    At checkout and registration, avoid bundling everything into a single consent statement. Make it visually and linguistically clear what is required to place an order versus what is optional marketing.
    • Use mandatory acceptance for terms of use and privacy policy that govern order processing and service delivery.
    • Use separate, unticked checkboxes or toggles for “cart reminders and personalised offers” and, if needed, another for “broader marketing and promotions”.
  3. Make the abandoned cart purpose explicit in the consent language
    Instead of generic statements like “I agree to receive communications”, write plainly that you will use the data to send reminders about unfinished purchases and related offers.
    • Example: “I’d like to receive reminders and offers about items in my cart and similar products by email and WhatsApp. I can opt out anytime in My Account or from any message.”
  4. Offer granular, channel-level choices where feasible
    DPDP doesn’t force you to provide endless toggles, but channel-level controls (email vs SMS vs WhatsApp vs push) are increasingly expected by users and make it easier to show that a specific cart campaign relies on a valid consent signal.
    • If you can’t provide full granularity everywhere, prioritise high-risk channels like SMS and WhatsApp, where unsolicited messages are more intrusive and often regulated by other sectoral frameworks.
  5. Connect consents to a preference centre that works in real time
    Consent is a lifecycle commitment, not a one-time event at sign-up. Provide a simple, mobile-friendly preference centre where users can view and update their permissions for cart reminders, marketing, and different channels, and ensure these changes propagate quickly through your stack.
  6. Log consent metadata for every cart-related purpose and channel
    For each opt-in and withdrawal, store when, where, and how it was given, and what exact wording the user saw. This is essential for DPDP accountability and for resolving future disputes (“I never opted in”) with evidence rather than guesswork.
  • Avoid pre-ticked boxes or opt-outs masquerading as opt-ins; these are particularly risky under any regime that expects clear affirmative action.
  • Use plain, localised language in English and relevant Indian languages instead of only legal or highly technical wording for key consent prompts.
  • Align your cart consent UX with other major journeys (registration, loyalty programmes, app permissions) to avoid contradictory experiences that confuse users and staff.
Suggested diagram: side-by-side comparison of legacy bundled-consent checkout vs DPDP-aligned, purpose-specific consent UI for cart recovery.

Data minimisation, retention, and vendor governance for cart and behavioural data

Even with clean consent flows, over-collection and over-retention of data can still create DPDP issues. A defensible abandoned cart program applies minimisation and storage limitation not just to identity data, but also to behavioural logs, device IDs, and analytics exports. It also governs how third-party processors—email service providers, CDPs, marketing clouds, SMS gateways, and analytics vendors—handle that data on your behalf.
  • Collect only what each cart use case needs: For a simple reminder, you might only need an identifier, cart items, and pricing—not full browsing history, precise location, or detailed device fingerprints.
  • Define clear retention windows for cart data: For example, keep identifiable cart data only as long as it is reasonable to expect the user may still complete the purchase, then delete or de-identify it unless another valid, consented purpose applies.
  • Anonymise or aggregate for long-term analytics: Where business teams want multi-year trends, aggregate metrics (such as category-level conversion rates after cart journeys) are often sufficient and far less risky than keeping user-level histories.
  • Align deletion with consent withdrawal: If someone opts out of marketing or cart reminders, reflect that in your retention logic—do not continue to retain and use their identifiers for those purposes in downstream tools.
  • Harden access controls: Restrict who inside your organisation can query raw cart and behavioural data, and log access to high-sensitivity datasets used for profiling and segmentation.
Applying data minimisation and storage limitation to cart and behavioural data.
Data category Examples in cart journeys Primary use in cart programs Minimisation tactic Retention approach (illustrative)
Identity and contact data Name, email, phone number, customer ID, login ID linked to cart contents. Triggering and personalising cart reminders and follow-up offers on owned channels. Collect only mandatory identity fields for order processing; treat additional fields used only for marketing as optional with separate consent text. Keep identifiers for active customers in line with your broader customer data policy; shorten retention for one-time or anonymous carts that never convert.
Cart contents and value signals Product IDs, quantities, prices, discounts applied, cart total, timestamp of last update, device type used to build the cart. Determining whether and how to send a reminder (e.g., high-value cart, margin-sensitive SKUs, limited stock). Avoid storing unnecessary attributes (e.g., internal margin metadata) alongside user-level cart unless needed; de-identify where practical for analytics. Keep identifiable cart contents only until the decision window for cart recovery closes; afterwards retain only aggregated or anonymised statistics where needed.
Behavioural and engagement data Page views, click paths, scroll depth, email opens and clicks, app events linked to abandoned carts and subsequent purchases or opt-outs. Optimising cart timing, frequency caps, creative variants, and suppression lists (e.g., users who already bought elsewhere). Sample or aggregate behavioural events for analytics where possible; avoid exporting full raw logs to multiple external tools unless strictly necessary and well-controlled. Retain detailed user-level logs only as long as needed to tune journeys and resolve disputes, then aggregate or delete in line with your analytics data policy.
Device and technical identifiers Cookies, device IDs, advertising IDs, IP addresses used to tie carts to sessions and roughly locate the user for logistics and fraud checks. Linking anonymous sessions to known accounts, fraud prevention, basic personalisation and performance analytics for cart journeys. Avoid storing device identifiers longer than necessary for fraud checks and cart continuity; don’t export them widely across vendors unless clearly justified and disclosed. Align retention of identifiers with cookie and SDK policies; periodic purges reduce long-term re-identification risk if other data leaks or is misused.
A sustainable approach to abandoned carts treats consent and preferences as a shared service across your stack, not as isolated toggles in individual tools. The DPDP Act explicitly recognises the role of “consent managers” that can manage and communicate users’ consents on their behalf, under registration and accountability requirements with the Data Protection Board. In practice, retailers can either build an internal consent layer or integrate with specialised services that help operationalise these requirements across channels and systems.[2]
Key building blocks of a DPDP-ready consent and preference architecture for cart and broader first-party programs:
  • Identity and linkage layer: A consistent way to link identifiers (email, phone, app ID, loyalty ID, device ID) so that consent is tied to the person, not just to a single channel or cookie, while still respecting minimisation and security constraints.
  • Consent capture layer: Standardised UX and APIs for capturing consents and withdrawals from web, app, in-store, and support channels, with clear purpose and channel tagging (e.g., cart reminders by email, marketing by WhatsApp, analytics cookies).
  • Preference and policy store: A central repository—internal or through a consent management solution—that holds each user’s current permissions, history, and applicable policies (e.g., retention rules) and can be queried in real time by CRM, CDP, and marketing tools before sending cart messages.
  • Orchestration and enforcement: Integration logic or middleware that enforces “only send if permitted” rules across channels, and that suppresses users who withdrew consent or fall into sensitive categories subject to stricter rules.
  • Audit and reporting: Dashboards and logs showing when, where, and how consent was captured, changed, and honoured in downstream campaigns—critical for internal assurance and responding to regulator or data principal queries.
  • Integration with consent managers: Where you work with DPDP-recognised consent managers, ensure bi-directional flows so that consents expressed through them automatically update your cart campaigns and preference centre, and vice versa where appropriate.
For teams that prefer not to build all of this in-house, DPDP-focused consent management solutions such as Digital Anumati position themselves specifically as DPDP Act consent management solutions, aimed at helping organisations manage digital consent in a compliant way.[1]

Considering a DPDP-focused consent management solution

Digital Anumati

Digital Anumati provides a consent management solution aligned to India’s DPDP Act, focused on helping organisations manage digital consent across their digital journeys.
  • Positioned explicitly around India’s DPDP Act, making it relevant for organisations that want their consent layer to re...
  • Designed to help businesses centrally manage digital consent rather than relying only on fragmented, tool-specific togg...
  • May be worth evaluating if you want a dedicated consent and preference layer to plug into ecommerce, CRM, and marketing...
Explore the service
Suggested diagram: central consent and preference layer connected to website, app, CRM, CDP, email/SMS/WhatsApp providers, and analytics, enforcing permissions for cart and marketing journeys.

Change management across marketing, product, legal, and engineering

Most DPDP risk in abandoned cart journeys comes not from bad intent, but from misalignment: growth teams optimising for revenue, product teams optimising for UX, legal teams optimising for risk avoidance, and engineering teams juggling backlogs. Treating cart flows as a cross-functional program—with clear ownership, decision rights, and a roadmap—helps avoid stalemates where compliance blocks growth or vice versa.
A phased roadmap to bring abandoned cart journeys into DPDP alignment without switching them off overnight:
  1. Align on risk appetite and non-negotiables with legal and leadership
    Clarify how conservative or experimental your organisation wants to be in the first 12–24 months of DPDP implementation. Identify red lines (for example, no marketing without explicit opt-in) and areas where carefully controlled tests are acceptable.
  2. Map current journeys, data flows, and vendors in detail
    Document all abandoned cart triggers, channels, content variants, and the underlying data pipelines and tools. Include edge cases such as app uninstalls, guest checkouts, and cross-device carts, so there are no “unknown” flows running in production.
  3. Triage and fix the highest-risk patterns first
    Use a simple risk matrix (impact × likelihood) to identify which flows to address first: bundled consent, sensitive segments, third-party exports, and long-retention profiles typically rise to the top. Start by pausing or simplifying these before tackling more marginal issues.
  4. Introduce the new consent and preference architecture incrementally
    Pilot your revised consent UX and preference centre on a subset of traffic, or on one brand or region, and gradually wire downstream systems (CRM, email, SMS, WhatsApp, push) to respect the new permissions and retention rules.
  5. Measure both performance and risk outcomes for each release
    For each iteration—new opt-in language, updated timing rules, refined segments—track cart recovery revenue, opt-in/opt-out rates, complaint volume, and any incidents or escalations. Use these metrics to calibrate further design decisions.
  6. Embed DPDP reviews into BAU experimentation and campaign approvals
    Make privacy review a standard part of new abandoned cart experiments: require product or marketing managers to state the purpose, data used, target audience, and consent assumptions, and have legal or privacy teams review high-impact ideas before launch.
  • Clarify ownership: Many organisations appoint a single accountable owner (e.g., Head of CRM or Growth) for cart journeys, with legal, product, and engineering as key stakeholders in a RACI model.
  • Separate design from policy: Let legal define guardrails and acceptable risk levels, while product and UX teams translate them into user-friendly flows rather than copying legal text verbatim into screens.
  • Educate frontline teams: Train customer support, category managers, and performance marketers so they understand how DPDP affects abandoned cart and remarketing decisions, reducing pressure to bypass controls for short-term targets.

Troubleshooting DPDP issues in abandoned cart journeys

Common symptoms, likely causes, and practical fixes when aligning cart flows with DPDP:
  • Users say “I never opted in” but your CRM shows consent: Often caused by bundled or unclearly worded consents, or by migrating legacy data without copying the original wording. Fix by re-permissioning high-risk segments with fresh, explicit language and by storing versioned consent text alongside each record going forward.
  • Opt-outs are honoured in email but not SMS or WhatsApp: Typically a sign that different channels rely on separate systems or identifiers. Fix by centralising preferences, standardising customer IDs across tools, and enforcing channel suppression via a single consent service or orchestration layer before messages are sent.
  • Legal asks you to pause all cart experiments: Often the result of poor visibility into what is running. Fix by producing a simple catalogue of cart journeys, volumes, and data uses, agreeing a prioritised remediation roadmap, and restarting low-risk campaigns that clearly meet agreed standards first.
  • Engineering can’t keep up with requested changes: Caused by one-off customisations in many tools rather than a shared consent and preference layer. Fix by investing in a central architecture—whether built or bought—that makes future tweaks (new copy, new channel, new segment) mainly configuration changes, not major engineering projects.
  • Inconsistent unsubscribe and “stop” behaviours across channels: Sometimes SMS requires keywords, email uses links, and WhatsApp uses different flows. Fix by standardising the user promise (“You can opt out any time using the link or reply instructions in each message”) and testing those journeys regularly as part of QA and internal audits.

Common mistakes retail teams make on DPDP and abandoned carts

  • Assuming behavioural and cart data is “anonymous enough” to sit outside DPDP, even when it can be linked to logged-in profiles or identifiers.
  • Treating any message that references an open cart as “transactional”, regardless of whether it contains discounts, cross-sell, or future promotions.
  • Using a single global opt-in for “communications” instead of distinguishing between service updates, cart reminders, and broader marketing or analytics uses.
  • Copying GDPR-era designs from other regions without adjusting for DPDP’s concepts, roles, and the local enforcement and consent-manager ecosystem.
  • Focusing solely on the checkout UI and ignoring less visible elements like retention schedules, third-party exports, and auditability of consent history.

Common questions about DPDP, purpose limitation, and abandoned carts

FAQs

DPDP does not provide a channel-by-channel list of what counts as “marketing”, nor does it define a special safe harbour for cart reminders. In practice, the more your message looks like advertising—discounts, cross-sell, urgency language—the stronger the case for explicit, purpose-specific consent. Many organisations choose to treat all outbound cart nudges on email, SMS, WhatsApp, and push as marketing for risk-management purposes, even if they also help users complete an initiated transaction.

Using consent for account creation or order processing as a blanket basis for marketing or cart campaigns is risky under a purpose-limitation lens. If your notice and consent wording only covered “creating and managing your account” or “processing your order”, using the same consent for repeated promotional reminders may go beyond what the customer reasonably understood.A safer pattern is to keep account or order-processing consents separate, then add clearly worded, optional marketing and cart-reminder consents that can be withdrawn independently.

WhatsApp and SMS are typically perceived as more intrusive than email. They may also be subject to additional platform terms and telecom or messaging regulations. From a DPDP standpoint, you still need a clear, documented basis for using personal data on these channels, and cart reminders that include promotions should be treated as marketing, not mere notifications.Many retailers therefore ask for channel-specific opt-ins (for example, separate toggles for WhatsApp and SMS) and keep the volume and nature of cart messages on these channels tightly controlled and well-documented.

Think of consent managers and broader consent-management solutions as the source of truth for permissions and preferences, not as replacements for CRM or marketing tools. Your CRM and CDP still hold customer profiles and behavioural data; your email, SMS, and ad platforms still execute campaigns. The consent layer sits in the middle, providing APIs and signals that say, “this user has (or has not) allowed cart reminders on this channel for this purpose.”

  • Inbound: consent and preference updates flow from front-end experiences (web, app, in-store, support) into the consent layer.
  • Outbound: CRM, CDP, and marketing tools query the consent layer before creating audiences or sending cart reminders, and suppress users where consent is missing or withdrawn.

For grey areas—such as specific wording, new targeting techniques, or complex cross-border data flows—business leaders should use this article as a design and risk framework, not as formal legal advice. Document your assumptions, map data flows clearly, and then obtain input from qualified Indian counsel who can interpret the Act, Rules, and any emerging guidance or enforcement trends in the context of your specific fact pattern.

Measuring ROI and resilience of DPDP-compliant first-party programs

Bringing abandoned cart journeys into alignment with DPDP is not just a cost or a defensive move. Done thoughtfully, it can enhance revenue durability, improve channel performance, and reduce the operational drag of complaints and firefighting. To make this visible at leadership level, treat DPDP upgrades as an investment with explicit KPIs, not as an unquantified compliance project.
Useful metrics and evaluation criteria for DPDP-aware cart and first-party data programs:
  • Revenue and engagement: Cart recovery rate, incremental revenue from cart journeys, unsubscribe and complaint rates, long-term LTV for users with sustained, explicit marketing consent vs those without.
  • Consent quality: Opt-in rates for cart reminders by channel, share of audiences with clear and active consent for each major purpose, and speed with which withdrawals propagate through systems.
  • Risk and resilience: Number and severity of privacy complaints, escalations handled by support or legal, data subject rights requests involving cart and behavioural data, and near-miss incidents uncovered by internal audits.
  • Operational efficiency: Time taken to launch new cart experiments, number of tools that need manual configuration for each change, and reliance on ad-hoc spreadsheets for consent and suppression lists (which should fall over time).
  • Vendor alignment: Proportion of key martech and data vendors that are under updated DPDP-aware contracts, pass privacy and security due diligence, and can technically respect your consent and retention policies.

Key takeaways

  • Cart recovery is one of the most visible tests of how seriously your organisation takes DPDP, because it sits at the intersection of revenue, personalisation, and privacy expectations.
  • A clear purpose map and consent architecture lets you keep high-performing cart journeys running while reducing the risk of purpose creep and over-retention of data.
  • Investing in centralised, DPDP-aware consent and preference management—whether built internally or via solutions like Digital Anumati—can lower long-term engineering and legal overhead compared with one-off fixes in many tools.

Sources

  1. Digital Anumati – DPDP Act Consent Management Solution - Digital Anumati
  2. The Digital Personal Data Protection Act, 2023 (Act No. 22 of 2023) - Government of India / India Code
  3. DPDP Rules, 2025 Notified: A Citizen-Centric Framework for Privacy Protection and Responsible Data Use - Press Information Bureau, Government of India
  4. Legal Obligations for Businesses under the Digital Personal Data Protection Act, 2023 - Bathiya Legal
  5. Bundled consent mechanism likely to end as Meity plans stricter rules - Business Standard
  6. Hessian data authority declares abandoned shopping cart emails illegal - PPC Land

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 Updated At Mar 15, 2026

Purpose Limitation in Practice: How to Stop Teams from Reusing Data

A business-style piece for business buyers that explains purpose limitation in practice— how to stop tea…

 Updated At Mar 14, 2026

What Counts as a Reasonable Security Safeguard under DPDP?

A business-style piece for decision-makers that explains what counts as a reasonable security safeguard …