# Ilja Torski

Ilja Torski writes about mobile app growth, especially CRM and lifecycle messaging, user retention, push notifications, and measuring campaign impact.

- Profile: https://b2binfluencer.marketing/creators/ilja-torski/
- LinkedIn: https://www.linkedin.com/in/ivtorsky
- LinkedIn followers: 12,146
- Topics: artificial-intelligence, ecommerce, email-marketing, agentic-commerce, ecommerce-retention, retention-marketing
- Based on 18 dated posts, latest 2026-09-24

## Summary

Mobile app CRM and retention messaging, especially separating inactivity from pre-deletion signals.

- Best for: Mobile app growth platform planning content collaboration on CRM retention.
- Not for: Consumer brand paid partnership built on short-form video and verified audience reach.
- Check first: Confirm terms, sponsorship policy, media kit, rate card, inquiry route, and audience demographics.

### Takeaways

- Inactive users and pre-deletion signals are different problems requiring separate responses.
- Control group example: 4,480 treatment purchases, 3,360 would have happened without push.
- Behavior-based lifecycle journeys can support distributor adoption at scale in B2B2C.

## Main ideas

- **Spot the difference between inactivity and a user preparing to leave**: Torski argues that recency alone is a poor measure of churn risk. Someone who has stopped using an app may still be reachable; behaviors that suggest a decision to leave deserve a separate, faster response. They also caution that winning back deleted users may not pay off equally across app categories.
- **Use a control group to find out whether messaging caused a result**: A conversion after a message is not necessarily a conversion because of it. Torski argues that teams should compare messaged users with a group that receives no message, then report the difference rather than claiming every treatment conversion.
- **Connect retention evidence to acquisition decisions**: Torski sees CRM and app-store optimization as a two-way relationship: retention teams can give acquisition teams evidence about which promises and traffic sources lead to lasting use. That makes post-install behavior useful before the next user installs.
- **Make messaging fit the user journey, not just the channel**: Torski favors behavior-triggered, owned communication over relying only on paid remarketing or transactional notices. Their examples connect web capture, email, push, and delivery updates to different moments of user intent.
- **As technology changes, messaging may need to explain rather than persuade**: Torski considers how operating-system changes and AI purchasing agents could alter the role of push. Their argument is that relevance depends on who is affected by a platform feature, and that messages to AI-mediated shoppers may become less frequent but more consequential. They frame the tension as keeping users informed and in control without recreating notification fatigue.

## Work to read

- [Inactive users and pre-deletion signals are different problems](https://www.linkedin.com/posts/ivtorsky_apps-crm-activity-7488158380042342400-z9vx)
- [Measure true incremental impact with a control group](https://www.linkedin.com/posts/ivtorsky_conversion-crm-abtest-activity-7493590530061275136-2OOi)
- [How push notifications change when AI agents buy](https://www.linkedin.com/posts/ivtorsky_agenticcommerce-ecommerce-mobileapps-activity-7462424060082184192-QyXs)
- [Feed CRM results back into app store optimization](https://www.linkedin.com/posts/ivtorsky_acquisition-aso-crm-activity-7490715907099635713-hlDB)
- [Web popups as a pre-install capture channel](https://www.linkedin.com/posts/ivtorsky_engagement-popup-messaging-activity-7506337776204722176-L7MB)
- [Apple Intelligence notification prioritization has a language gap](https://www.linkedin.com/posts/ivtorsky_apple-ios27-pushnotifications-activity-7500887926222909440-bSsN)
- [Owned messaging in a remarketing-first e-commerce market](https://www.linkedin.com/posts/ivtorsky_remarketing-ecommerce-activity-7463183076785971200-XNiR)
- [B2B2C lifecycle messaging when distributor habits drive success](https://www.linkedin.com/posts/ivtorsky_how-hussle-technology-powers-distributor-activity-7508771706539352065-2SdN)

## Brand relationships

- **Pushwoosh** (disclosed_partnership)
- **Hussle Technology** (mention)
- **AppsFlyer** (mention)

## Partnerships

Ilja Torski's commercial work runs through Pushwoosh, the customer engagement platform they write about. The formats include product-linked posts, a named client story, benchmark and pricing posts, and campaign examples with measured results. The posts do not show a sponsorship policy, media kit, rate card, or partnership inquiry route. Ask Torski directly for those details and confirm terms before planning spend.

## Alternatives

- Meilech Biller: Choose Meilech Biller when a collaboration needs someone who builds and runs lifecycle email systems hands-on, including the AI-assisted operational layer behind them, and when the audience is ecommerce- or agency-side rather than a mobile app team. Their posts show Claude-built CRM and project systems, a client onboarding flow with custom forms, documents and emails, automatic task creation, a daily AI review of leads across CRM, projects, WhatsApp and email that decides the next action, and client-facing tools such as a Klaviyo deliverability dashboard. For a series on running retention operations, the operational detail is the draw: how flows get built, how leads get worked and what a new-client onboarding actually contains. A second post shows the pre-launch state — welcome flow, browse and cart abandonment, campaigns built and waiting on stock — useful for a campaign about the work between signing and going live.
- Oliver Yuwen: Choose Oliver Yuwen when the collaboration needs early-warning churn thinking and measurement discipline — the two areas closest to Torski's own ground. One post argues that a "we miss you" email after churn is wasted spend, then walks through predictive decay signals, an engagement cliff defined as the number of inactive days that precede cancellation, and a value-first intervention triggered at half that threshold; the line "don't save the subscription; save the habit" is the kind of framing a webinar audience remembers. The other post is a worked attribution example: a $14M outdoor apparel brand where Klaviyo claimed $1.8M in email revenue against $1.1M in Shopify email-originated orders, resolved by pulling orders, ad spend, email events and session data into a warehouse and deduplicating — email landed near $803K and paid channels showed a 4.2x blended return. That pairs directly with a session on proving what messaging actually caused.
- Conor Gallagher: Choose Conor Gallagher when the collaboration wants a brand operator's first-hand account of how email sits inside a paid-media system, told from the P&L rather than from the retention tool. They run a supplement brand and write as an owner: email is not a standalone revenue channel but an efficiency tool that fights the natural decay of Meta performance as audiences get colder; the popup runs on the home page only, deliberately without an extra discount, to avoid the bounce-rate hit that pushes CPMs up; pre-purchase flows follow the winning ad angles; and three campaigns a week go to different segments for new customers, second orders and subscriptions. For an audience that buys media, that operator view offers a different and useful angle.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/