Analytics tactics
Practical Analytics tactics for startups and small teams — how to do each one, an example, and when it backfires.
- Awareness
Create a personalised year-in-review recap users want to share
Turn each user's yearly activity into a short, story-style recap with shareable cards, so customers show off your product for you.
Impact High Effort HighCategories: Social Media, Analytics, Email - Acquisition
Decide your A/B test sample size before you start
Work out how much traffic a test needs up front, then judge it once, so you stop shipping winners that were never real.
Impact High Effort Medium + free toolCategories: A/B Testing, Analytics - Acquisition
Build lookalike audiences from your best customers
Feed ad platforms a clean list of your highest-value customers so they can find new people who look like them, instead of seeding from everyone.
Impact Medium Effort LowCategories: Paid Ads, Analytics - Acquisition
Buy niche newsletter sponsorships and measure what they return
Place ads in small, focused newsletters your buyers read, test them in small batches, and track each placement with its own link and offer.
Impact Medium Effort Low + free toolCategories: Paid Ads, Email, Analytics - Acquisition
Set a UTM naming convention before your next campaign
Agree on how you tag links so your analytics groups traffic correctly instead of splitting it across typos.
Impact Medium Effort Low + free toolCategories: Analytics, Paid Ads - Acquisition
Retarget visitors with ads that match what they viewed
Show ads to past site visitors based on the pages they read, with frequency caps and exclusions so you spend on people who are still deciding.
Impact Medium Effort Medium + free toolCategories: Paid Ads, Analytics - Activation
Define your activation metric before you redesign onboarding
Find the early action that separates users who stay from users who leave, then build onboarding around getting people there.
Impact High Effort MediumCategories: Onboarding, Analytics - Retention
Build a simple customer health score
Combine a few usage and relationship signals into one score per account so you can spot customers at risk of churning while there is still time to help.
Impact High Effort MediumCategories: Analytics, Customer Support - Retention
Win back D2C customers who have stopped buying
Spot customers who are overdue for their next order based on your real purchase cycle, then reach them with a short, relevant winback sequence.
Impact High Effort MediumCategories: Email, Analytics - Retention
Send replenishment reminders when customers are about to run out
Time reorder reminders to each product's real usage cycle so customers buy again from you before they run out or switch brands.
Impact Medium Effort LowCategories: Email, Analytics - Revenue
How to reduce COD returns and RTO for D2C brands in India
Cut cash-on-delivery RTO with WhatsApp order confirmation, prepaid incentives, pin-code risk scoring and partial advance payments.
Impact High Effort MediumCategories: Conversion, Analytics, Customer Support - Revenue
Find product-qualified leads and route them to sales
Score free and trial accounts on usage signals, then have sales reach out to the ones already getting value and showing buying intent.
Impact High Effort HighCategories: Sales, Analytics - Revenue
Add frequently bought together suggestions to product and cart pages
Use real order data to suggest items customers usually buy together, shown on product pages and in the cart where intent is highest.
Impact Medium Effort LowCategories: Conversion, Analytics - Revenue
Personalised product recommendations from purchase and browse data
Use what customers bought and viewed to recommend relevant products on site, in email and in-app, and raise order value and repeat sales.
Impact Medium Effort HighCategories: Conversion, Email, Analytics
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