OBV reads every order, session and lapse in your store, builds real customer profiles from it, and generates the engagement campaigns that bring those customers back. Approve each one, or set a budget and let it run.
Retention and engagement for ecommerce — fully managed
29.63%
Push-to-order conversion
15.5 min
Message to purchase
+52%
Average weekly revenue
+47%
Average weekly orders
Measured over five weeks on a multi-state retail operator running engagement on our platform. Campaign performance varies by catalogue, list size and order frequency.
Most retention tools hand you a blank canvas and a segment builder. OBV does the work: the modelling, the audience, the message, the timing and the send.
01
Orders, products, carts, sessions, refunds and loyalty history stream into OBV continuously. Historical data is backfilled on day one, so the first profiles are built from your real purchase history rather than from a cold start.
02
Every customer gets a living profile: what they buy, how often, at what price, through which channel, and how close they are to lapsing. Profiles update on every event, so an audience is never a stale list.
03
OBV writes the message, picks the audience, chooses the channel and schedules the send against the moment the profile is most likely to buy. Cart recovery, reorder timing, win-back, streak and habit mechanics, launch pushes.
04
Review each campaign before it sends, approve by exception, or hand OBV a monthly budget and let it operate on its own. Results feed straight back into the models that pick the next campaign.
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Guardrails hold at every setting: send caps per customer, quiet hours, discount ceilings, and a hard monthly spend limit OBV cannot cross.
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Campaigns / week
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Customers reached
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Your hours / week
Illustrative planning figures, not a performance forecast.
Own the moment
29.63%
A single cart-abandonment message — “Forgot something?” — converted at 29.63% push-to-order with no discount attached. Standard ecommerce mobile push benchmarks sit at 1.5–3%.
Close the gap
15.5 min
Median time from message to completed purchase. A recovered cart closes inside one lunch break, and average order value held steady at $74.50 to $76.80 while it did.
Build the habit
2×
A five-week daily check-in mechanic converted 24% of players against a 13% site baseline, lifting weekly orders from 207 to 305 and weekly revenue from $15.4K to $23.4K.
Protect the margin
+52%
Weekly revenue growth came from frequency, not discounting. Order value stayed nearly flat, so the lift arrived without margin erosion or discount dependency.
Your team opens OBV to a queue of generated campaigns, each with its audience, its reasoning and its expected return. Approve, edit or skip. Everything else is already done.
Tour the platformProfiles
Each client's data is stored and modelled in isolation. Nothing is pooled across accounts and nothing is sold, shared or used to train models for anyone else.
TLS in transit, AES-256 at rest, scoped API credentials you can revoke at any time, and full audit logging on every campaign action.
Opt-in state, channel preferences, quiet hours and unsubscribe requests are enforced at send time. Suppression is a hard stop, never a suggestion.
Export profiles and campaign history whenever you want. On termination your data is deleted on a defined schedule and confirmed in writing.
A 30-minute demo on your own numbers: what your profiles look like, which customers are about to lapse, and the campaigns OBV would run this week.
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